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753 papers:

POPLPOPL-2020-MigeedP #decidability #question
What is decidable about gradual types? (ZM, JP), p. 29.
ECSAECSA-2019-GalsterGG #machine learning #perspective #quality
What Quality Attributes Can We Find in Product Backlogs? A Machine Learning Perspective (MG, FG, FG), pp. 88–96.
EDMEDM-2019-GitinabardBHL #analysis #online #platform #sequence #student
What will you do next? A sequence analysis on the student transitions between online platforms in blended courses (NG, TB, SH, CFL).
EDMEDM-2019-WhitehillAH #crowdsourcing #learning #predict
Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains (JW, CA, BH).
EDMEDM-2019-XuGLB #how #social
What You Say is Relevant to How You Make Friends: Measuring the Effect of Content on Social Connection (YX, NG, CFL, TB).
ICPCICPC-2019-Weimer #question
What goes on in your brain when you read and understand code? (WW), p. 1.
ICSMEICSME-2019-AlsharifKM #automation #generative #sql #testing
What Factors Make SQL Test Cases Understandable for Testers? A Human Study of Automated Test Data Generation Techniques (AA, GMK, PM), pp. 437–448.
ICSMEICSME-2019-JinCX #api #developer #question
What Do Developers Discuss about Biometric APIs? (ZJ, KYC, XX0), pp. 348–352.
MSRMSR-2019-BangashSCWHA #case study #developer #machine learning #ml #stack overflow
What do developers know about machine learning: a study of ML discussions on StackOverflow (AAB, HS, SAC, AWW, AH, KA0), pp. 260–264.
MSRMSR-2019-JinS #empirical #stack overflow
What edits are done on the highly answered questions in stack overflow?: an empirical study (XJ, FS), pp. 225–229.
MSRMSR-2019-ManesB #developer #git #how #question #stack overflow
How often and what StackOverflow posts do developers reference in their GitHub projects? (SSM, OB), pp. 235–239.
SANERSANER-2019-Whittle
Does your software value what you value? (Keynote) (JW), p. 2.
HaskellHaskell-2019-SchrijversPWJ #algebra #composition #monad
Monad transformers and modular algebraic effects: what binds them together (TS, MP, NW, MJ), pp. 98–113.
CoGCoG-2019-AshlockS19a #automation #generative #representation
Automatic Generation of Level Maps with the Do What's Possible Representation (DA, CS), pp. 1–8.
FDGFDG-2019-YiLD
What if we were twice as close to the sun?: findings from a science summer camp serving underrepresented youth (SY, HCL, ÖD), p. 7.
CoGVS-Games-2019-Jercic #game studies #metric #performance #predict #set
What could the baseline measurements predict about decision-making performance in serious games set in the financial context (PJ), pp. 1–4.
CIKMCIKM-2019-BoutetG #privacy
Inspect What Your Location History Reveals About You: Raising user awareness on privacy threats associated with disclosing his location data (AB, SG), pp. 2861–2864.
CIKMCIKM-2019-SunQYCCC #question
What Can History Tell Us? (KS, TQ, HY, TC, YC, LC0), pp. 1593–1602.
CIKMCIKM-2019-ZhaoLZWJXWM #evaluation #matter #problem
What You Look Matters?: Offline Evaluation of Advertising Creatives for Cold-start Problem (ZZ, LL, BZ0, MW, YJ, LX, FW, WYM), pp. 2605–2613.
ICMLICML-2019-ByrdL #learning #question
What is the Effect of Importance Weighting in Deep Learning? (JB, ZCL), pp. 872–881.
ICMLICML-2019-JangLHS #learning
Learning What and Where to Transfer (YJ, HL, SJH, JS), pp. 3030–3039.
KDDKDD-2019-ChenZBXL #behaviour #predict
Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction (CC, LZ, JB0, CX, TYL), pp. 2376–2384.
OnwardOnward-2019-Smaragdakis #programming language #question
Next-paradigm programming languages: what will they look like and what changes will they bring? (YS), pp. 187–197.
PLATEAUPLATEAU-2019-HaoG #programming #question
Approaching Polyglot Programming: What Can We Learn from Bilingualism Studies? (RLH, ELG), p. 7.
ASEASE-2019-ZhouSZ #named
Lancer: Your Code Tell Me What You Need (SZ, BS, HZ), pp. 1202–1205.
ESEC-FSEESEC-FSE-2019-BagherzadehK #big data #developer #scalability
Going big: a large-scale study on what big data developers ask (MB, RK), pp. 432–442.
ESEC-FSEESEC-FSE-2019-ZhouVK #case study #performance #social
What the fork: a study of inefficient and efficient forking practices in social coding (SZ, BV, CK), pp. 350–361.
CASECASE-2019-MaggipintoSZM #case study #fault #multi #predict #process
What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction (MM, GAS, FZ, SFM), pp. 1796–1801.
CAVCAV-2019-Siegel #on the fly #partial order #reduction
What's Wrong with On-the-Fly Partial Order Reduction (SFS), pp. 478–495.
ICSTICST-2019-LiuKB0KT #automation #benchmark #bias #exclamation #fault #locality #metric #program repair
You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems (KL0, AK, TFB, DK0, JK, YLT), pp. 102–113.
EDMEDM-2018-CruesBAPBS #comprehension
Who they are and what they want: Understanding the reasons for MOOC enrollment (RWC, NB, CJA, MP, SB, NS).
EDMEDM-2018-PytlarzPPP #network #predict #student #transaction
What can we learn from college students' network transactions? Constructing useful features for student success prediction (IP, SP, MP, RP).
ICPCICPC-2018-0001LYC #comprehension #mobile
What's inside my app?: understanding feature redundancy in mobile apps (YG0, YL, ZY, XC), pp. 266–276.
ICPCICPC-2018-TymchukGN #developer #feedback #jit #static analysis
JIT feedback: what experienced developers like about static analysis (YT, MG, ON), pp. 64–73.
ICPCICPC-2018-VivianiJFXM #design #developer #question #topic
What design topics do developers discuss? (GV, CJJ, MF, XX0, GCM), pp. 328–331.
MSRMSR-2018-ArimaHK08 #case study #commit #how #java #question
A study on inappropriately partitioned commits: how much and what kinds of IP commits in Java projects? (RA, YH, SK), pp. 336–340.
MSRMSR-2018-CalciatiKBG #question
What did really change with the new release of the app? (PC, KK, XB, AG), pp. 142–152.
MSRMSR-2018-GeorgiouKLS #energy #programming language #question
What are your programming language's energy-delay implications? (SG, MK, PL, DS), pp. 303–313.
ICFP-2018-BoisseauG #functional
What you needa know about Yoneda: profunctor optics and the Yoneda lemma (functional pearl) (GB, JG), p. 27.
ICFP-2018-YorgeyF #difference #functional
What's the difference? a functional pearl on subtracting bijections (BAY, KF), p. 21.
FDGFDG-2018-KosaS #analysis #game studies
What tabletop players think about augmented tabletop games: a content analysis (MK, PS), p. 8.
CIKMCIKM-2018-WuQLJ #named
PARL: Let Strangers Speak Out What You Like (LW, CQ, CL, DJ), pp. 677–686.
ICPRICPR-2018-AbateNBM #question #smarttech
What are you doing while answering your smartphone? (AFA, MN, SB, MDM), pp. 3120–3125.
ICPRICPR-2018-VinayavekhinCMA #comprehension #learning #using
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention (PV, SC, AM, DJA, GDM, DK, RT), pp. 2624–2629.
KDDKDD-2018-ZhouNH #adaptation #education #memory management
Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners (YZ, ARN, JH), pp. 2817–2826.
OOPSLAOOPSLA-2018-MathurK0 #concurrent #detection #power of #predict
What happens-after the first race? enhancing the predictive power of happens-before based dynamic race detection (UM, DK, MV0), p. 29.
POPLPOPL-2018-ChenCHLW #constraints #decidability #string
What is decidable about string constraints with the ReplaceAll function (TC, YC, MH, AWL, ZW), p. 29.
ESEC-FSEESEC-FSE-2018-ChenSFMXLX #mobile #question
Are mobile banking apps secure? what can be improved? (SC, TS, LF, GM, MX, YL0, LX), pp. 797–802.
ESEC-FSEESEC-FSE-2018-RamSCB #empirical #overview
What makes a code change easier to review: an empirical investigation on code change reviewability (AR, AAS, MC, AB), pp. 201–212.
ICSE-2018-KalliamvakouB0B #question
What makes a great manager of software engineers? (EK, CB, TZ0, AB, RD, DMG), p. 701.
CAVCAV-2018-AkshayCGKS #functional #question #synthesis
What's Hard About Boolean Functional Synthesis? (SA, SC, SG, SK, SS), pp. 251–269.
ICSAICSA-2017-ErnstBON #automation #design #tool support
What to Fix? Distinguishing between Design and Non-design Rules in Automated Tools (NAE, SB, IO, RLN), pp. 165–168.
JCDLJCDL-2017-PoursardarS
What Is Part of That Resource? User Expectations for Personal Archiving (FP, FS), pp. 229–232.
CSEETCSEET-2017-GarySL #lessons learnt #online #re-engineering
It's Not What You Think: Lessons Learned Developing an Online Software Engineering Program (KAG, SS, TEL), pp. 236–240.
ICPCICPC-2017-AjamiWF #complexity #question #syntax
Syntax, predicates, idioms: what really affects code complexity? (SA, YW, DGF), pp. 66–76.
ICSMEICSME-2017-BlondeauEACCD #case study #developer #scalability #testing
What are the Testing Habits of Developers? A Case Study in a Large IT Company (VB, AE, NA, SC, PC, SD), pp. 58–68.
ICSMEICSME-2017-SilvaWGSG #how #question
How Long and How Much: What to Expect from Summer of Code Participants? (JDOS, ISW, DMG, IFS, MAG), pp. 69–79.
SANERSANER-2017-ChatterjeeNDAPK #case study #documentation
What information about code snippets is available in different software-related documents? An exploratory study (PC, MAN, KD, VA, LLP, NAK), pp. 382–386.
SANERSANER-2017-MoonSLK #analysis #behaviour #generative #how
Log generation for coding behavior analysis: For focusing on how kids are coding not what they are coding (RJM, KMS, HYL, HJK), pp. 575–576.
CHI-PLAYCHI-PLAY-2017-Peddycord-LiuCK #game studies #question #student #using
Using Serious Game Analytics to Inform Digital Curricular Sequencing: What Math Objective Should Students Play Next? (ZPL, CC, SK, TB, CFL, TR), pp. 195–204.
FDGFDG-2017-Schrier #game studies #problem
What's in a name?: naming games that solve real-world problems (KS), p. 4.
FDGFDG-2017-Smith #generative #question
What do we value in procedural content generation? (GS), p. 2.
FDGFDG-2017-Whitehead #design #question
Art and science of engineered design: what kind of discipline is PCG? (JW), p. 3.
ECIRECIR-2017-Anand0P #detection #exclamation #network
We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next! (AA, TC0, NP), pp. 541–547.
ICMLICML-2017-BalduzziFLLMM #problem #question
The Shattered Gradients Problem: If resnets are the answer, then what is the question? (DB, MF, LL, JPL, KWDM, BM), pp. 342–350.
KDDKDD-2017-Dwork #question
What's Fair? (CD), p. 1.
KDDKDD-2017-JohariKPW #matter #testing #why
Peeking at A/B Tests: Why it matters, and what to do about it (RJ, PK, LP, DW0), pp. 1517–1525.
KDDKDD-2017-PaulLTYF #analysis #exclamation #named #sentiment #twitter
Compass: Spatio Temporal Sentiment Analysis of US Election What Twitter Says! (DP, FL0, MKT, XY, RF), pp. 1585–1594.
ECOOPECOOP-2017-HuangR #concurrent #detection #performance #perspective #precise
What's the Optimal Performance of Precise Dynamic Race Detection? - A Redundancy Perspective (JH, AKR), p. 22.
OOPSLAOOPSLA-2017-WuC #fault #how #question #student
How type errors were fixed and what students did? (BW, SC0), p. 27.
ESEC-FSEESEC-FSE-2017-IvanovRSYZ #research
What do software engineers care about? gaps between research and practice (VI0, AR, GS, JY, VZ), pp. 890–895.
ICSE-2017-JiangLYX #analysis #automation #integration #testing
What causes my test alarm?: automatic cause analysis for test alarms in system and integration testing (HJ, XL, ZY, JX), pp. 712–723.
ASPLOSASPLOS-2017-DelimitrouK #in the cloud #named
Bolt: I Know What You Did Last Summer... In The Cloud (CD, CK), pp. 599–613.
ASPLOSASPLOS-2017-NguyenP #memory management #scalability #source code #transaction
What Scalable Programs Need from Transactional Memory (DN, KP), pp. 105–118.
ECSAECSA-2016-AngelovMG #agile #architecture #challenge #question
Architects in Scrum: What Challenges Do They Face? (SA, MM, MG), pp. 229–237.
JCDLJCDL-2016-NishiokaS #matter #profiling #question #recommendation #twitter
Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles? (CN, AS), pp. 171–180.
CSEETCSEET-2016-Bass #education #question #re-engineering
Software Engineering Education in the New World: What Needs to Change? (MB), pp. 213–221.
EDMEDM-2016-BaikadiELS #analysis
Redefining “What” in Analyses of Who Does What in MOOCs (AB, CDE, YL, CS), pp. 569–570.
EDMEDM-2016-StanhopeR16a #education
Educational Technology: What 49 Schools Discovered about Usage when the Data were Uncovered (DS, KR), pp. 644–645.
ICSMEICSME-2016-AbdouSBN #fault #question
What is the Cause for a Defect to be Re-Assigned? (TA, BS, AB, AN), pp. 502–508.
SANERSANER-2016-NayebiAR #developer #mobile #question
Release Practices for Mobile Apps - What do Users and Developers Think? (MN, BA, GR), pp. 552–562.
CHI-PLAYCHI-PLAY-2016-TyackW0 #game studies #people
The Appeal of MOBA Games: What Makes People Start, Stay, and Stop (AT, PW, DMJ0), pp. 313–325.
CHI-PLAYCHI-PLAY-2016-Yee #motivation
The Gamer Motivation Profile: What We Learned From 250, 000 Gamers (NY), p. 2.
DiGRADiGRA-FDG-2016-BergstromCJ #game studies #multi #online #question
Digital Detritus: What Can We Learn From Abandoned Massively Multiplayer Online Game Avatars? (KB, SdC, JJ).
DiGRADiGRA-FDG-2016-Jonne #challenge
What Does it Mean to be Orlanthi? Hermeneutic Challenge in King of Dragon Pass (JA).
ECIRECIR-2016-FlaesRW #analysis #multi #sentiment
What Multimedia Sentiment Analysis Says About City Liveability (JBF, SR, MW), pp. 824–829.
ECIRECIR-2016-XuGWZL #social #social media
Do Your Social Profiles Reveal What Languages You Speak? Language Inference from Social Media Profiles (YX, MRG, ZW, DZ, SL), pp. 561–574.
ICPRICPR-2016-Ohn-BarT16b #question
What makes an on-road object important? (EOB, MMT), pp. 3392–3397.
ICPRICPR-2016-UchidaS #question
What does scene text tell us? (SU, YS), pp. 4047–4052.
PLATEAUPLATEAU-2016-Ko #programming language #question
What is a programming language, really? (AJK0), pp. 32–33.
PLATEAUPLATEAU-2016-Salvaneschi #data flow #question
What do we really know about data flow languages? (GS), pp. 30–31.
ASEASE-2016-ChristakisB #developer #empirical #program analysis
What developers want and need from program analysis: an empirical study (MC, CB), pp. 332–343.
ASEASE-2016-Visser
What makes killing a mutant hard (WV), pp. 39–44.
FSEFSE-2016-Burnett
“Womenomics” and gender-inclusive software: what software engineers need to know (invited talk) (MMB), p. 1.
FSEFSE-2016-SorboPASVCG #recommendation
What would users change in my app? summarizing app reviews for recommending software changes (ADS, SP, CVA, JS, CAV, GC, HCG), pp. 499–510.
ICSE-2016-RaghothamanWH #code search #named #synthesis
SWIM: synthesizing what i mean: code search and idiomatic snippet synthesis (MR, YW, YH), pp. 357–367.
ICSTICST-2016-Gao #interactive #question #testing
Making System User Interactive Tests Repeatable: When and What Should we Control? (ZG), pp. 379–380.
TAPTAP-2016-Slama #automation #certification #exclamation #testing
Automatic Predicate Testing in Formal Certification - You've only Proven What You've Said, Not What You Meant! (FS), pp. 191–198.
DocEngDocEng-2015-AtenciaDG #linked data #open data #question
What Is This Thing Called Linked Data? (MA, JD, PG), pp. 233–234.
DocEngDocEng-2015-Paoli #documentation
Documents as Data, Data as Documents: What we learned about Semi-Structured Information for our Open World of Cloud & Devices (JP), p. 1.
JCDLJCDL-2015-BarthelTKSB #twitter
What does Twitter Measure?: Influence of Diverse User Groups in Altmetrics (SB, ST, BK, PS, WTB), pp. 119–128.
SIGMODSIGMOD-2015-CSKZYRPAKDRD #big data #industrial #why
Why Big Data Industrial Systems Need Rules and What We Can Do About It (PSGC, CS, KGK, HZ, FY, NR, SP, EA, GK, RD, VR, AD), pp. 265–276.
EDMEDM-2015-JiangZLL #analysis #network #question
Influence Analysis by Heterogeneous Network in MOOC Forums: What can We Discover? (ZJ, YZ, CL, XL), pp. 242–249.
ICPCICPC-2015-MinelliML #developer #how
I know what you did last summer: an investigation of how developers spend their time (RM, AM, ML), pp. 25–35.
ICSMEICSME-2015-KhadkaSKSHJDB #analysis #case study #delivery #legacy
Does software modernization deliver what it aimed for? A post modernization analysis of five software modernization case studies (RK, PS, BK, AS, JH, SJ, EvD, MB), pp. 477–486.
ICSMEICSME-2015-SharmaTL #question #re-engineering #twitter
What’s hot in software engineering Twitter space? (AS, YT, DL), pp. 541–545.
ICSMEICSME-2015-TianNLH #android #case study
What are the characteristics of high-rated apps? A case study on free Android Applications (YT, MN, DL, AEH), pp. 301–310.
MSRMSR-2015-WangPWG #comprehension #git #using
What Is the Gist? Understanding the Use of Public Gists on GitHub (WW, GPC, EW, DMG), pp. 314–323.
SANERSANER-2015-Mirakhorli #architecture #how #question #re-engineering #why
Software architecture reconstruction: Why? What? How? (MM), p. 595.
ICALPICALP-v1-2015-BienvenuDS #question #source code
What Percentage of Programs Halt? (LB, DD, AS), pp. 219–230.
CHI-PLAYCHI-PLAY-2015-HarpsteadZNGCSG #game studies #people
What Drives People: Creating Engagement Profiles of Players from Game Log Data (EH, TZ0, NN, JJG, RC, TS, DG), pp. 369–379.
FDGFDG-2015-CookESSTTZ #game studies #question
AI-based Games: Contrabot and What Did You Do? (MC0, ME, AMS, GS, TT, JT, AZ).
FDGFDG-2015-KnauerM #artificial reality #game studies #question
Augmented Reality Games: What Do We Know and Where Should We Go? (MK, JM).
FDGFDG-2015-Lu #case study #game studies #video
What kind of stories do children like in an active video game (AVG)? An exploratory study (AL).
CHICHI-2015-AbbarMW #twitter
You Tweet What You Eat: Studying Food Consumption Through Twitter (SA, YM, IW), pp. 3197–3206.
CHICHI-2015-AmmariKLS #how #online
Managing Children’s Online Identities: How Parents Decide what to Disclose about their Children Online (TA, PK, CL, SYS), pp. 1895–1904.
CHICHI-2015-BorstTR #problem
What Makes Interruptions Disruptive?: A Process-Model Account of the Effects of the Problem State Bottleneck on Task Interruption and Resumption (JPB, NAT, HvR), pp. 2971–2980.
CHICHI-2015-CramerJ #communication #question #why
Couples’ Communication Channels: What, When & Why? (HC, MLJ), pp. 709–712.
CHICHI-2015-GanglbauerFG #why
Why and what did we throw out?: Probing on Reflection through the Food Waste Diary (EG, GF, FG), pp. 1105–1114.
CHICHI-2015-GruningBO #question
Medium, Access, and Obsolescence: What Kinds of Objects are Lasting Objects? (JG, JB, MO), pp. 3433–3442.
CHICHI-2015-HangLH #authentication #exclamation #security #smarttech
I Know What You Did Last Week! Do You?: Dynamic Security Questions for Fallback Authentication on Smartphones (AH, ADL, HH), pp. 1383–1392.
CHICHI-2015-LapidesCCG #question
News Feed: What’s in it for Me? (PL, AC, MSTC, SG), pp. 163–172.
CHICHI-2015-PanS #human-computer #question
What if HCI Becomes a Fashion Driven Discipline? (YP, ES), pp. 2565–2568.
CHICHI-2015-ZhangAK #how #question #why
Mailing Lists: Why Are They Still Here, What’s Wrong With Them, and How Can We Fix Them? (AXZ, MSA, DRK), pp. 4009–4018.
CSCWCSCW-2015-Anya #design #exclamation #question
Bridge the Gap!: What Can Work Design in Crowdwork Learn from Work Design Theories? (OA), pp. 612–627.
CSCWCSCW-2015-MatthewsMCMHB #community
They Said What?: Exploring the Relationship Between Language Use and Member Satisfaction in Communities (TM, JUM, JC, MM, EMH, HB), pp. 819–825.
CSCWCSCW-2015-OlteanuVC #social #social media
What to Expect When the Unexpected Happens: Social Media Communications Across Crises (AO, SV, CC), pp. 994–1009.
CSCWCSCW-2015-TrainerCKH #community #question
From Personal Tool to Community Resource: What’s the Extra Work and Who Will Do It? (EHT, CC, AK, JDH), pp. 417–430.
HCIDUXU-DD-2015-HertleinHVSW #human-computer #usability
Practice What We Preach — Checking the Usability of HCI Conference Websites (FH, BH, MV, TS, CW), pp. 295–305.
HCIDUXU-IXD-2015-CookBGK #quote
“Keep What You’ve Earned”: Encouraging Sailors to Drink Responsibly (KC, EB, CG, TK), pp. 575–586.
HCIDUXU-IXD-2015-LinC15a
What Travelers Want: An Investigation into User Needs and User Wants on Display (TSL, CNC), pp. 496–504.
HCIDUXU-IXD-2015-WalterKWAB #adaptation #question #recommendation
What Are the Expectations of Users of an Adaptive Recommendation Service Which Aims to Reduce Driver Distraction? (NW, BK, CW, TA, KB), pp. 517–528.
HCIHCI-DE-2015-BevanCH #question #usability
ISO 9241-11 Revised: What Have We Learnt About Usability Since 1998? (NB, JC, SH), pp. 143–151.
HCIHCI-DE-2015-ChamunZMOS #approach #design #documentation
What About Document Folding? User Impressions and a Design Approach (RC, AdCAZ, IHM, JBSdO, MSS), pp. 307–319.
HCIHCI-IT-2015-JeongS #case study #how #smarttech #user interface
It’s not What It Speaks, but It’s How It Speaks: A Study into Smartphone Voice-User Interfaces (VUI) (JJ, DHS), pp. 284–291.
HCIHCI-UC-2015-ClarkeBK #experience #question #using
What Learnability Issues Do Primary Care Physicians Experience When Using CPOE? (MAC, JLB, MSK), pp. 373–383.
HCIHIMI-IKC-2015-AhangamaP15a #empirical
What Methodological Attributes Are Essential for Novice Users to Analytics? — An Empirical Study (SA, DCCP), pp. 77–88.
HCIHIMI-IKC-2015-BrunsVGZS #personalisation #recommendation #visual notation
What Should I Read Next? A Personalized Visual Publication Recommender System (SB, ACV, CG, MZ, US), pp. 89–100.
HCIHIMI-IKC-2015-GotzeB #comparison
Urban Driving: Where to Present What Types of Information — Comparison of Head-Down and Head-Up Displays (MG, KB), pp. 190–200.
HCIHIMI-IKD-2015-GareauKW #documentation #effectiveness #question #visualisation
An Exploration of the Effectiveness of Infographics in Contrast to Text Documents for Visualizing Census Data: What Works? (MG, RK, LW), pp. 161–171.
HCILCT-2015-ValdezBGSZ #complexity #visualisation
What Do My Colleagues Know? Dealing with Cognitive Complexity in Organizations Through Visualizations (ACV, SB, CG, US, MZ), pp. 449–459.
ICEISICEIS-v1-2015-AlmeidaHC #multi #question
What if Multiusers Wish to Reconcile Their Data? (DSdA, CSH, CDdAC), pp. 184–195.
ICEISICEIS-v2-2015-DutraPC #development #performance #question
What Are the Main Characteristics of High Performance Teams for Software Development? (ACSD, RP, TC), pp. 145–152.
CIKMCIKM-2015-KiselevaKNM #behaviour #how #question
Behavioral Dynamics from the SERP's Perspective: What are Failed SERPs and How to Fix Them? (JK, JK, VN, NM), pp. 1561–1570.
CIKMCIKM-2015-MiyauchiK #algorithm #community #detection #network #novel #quality
What Is a Network Community?: A Novel Quality Function and Detection Algorithms (AM0, YK), pp. 1471–1480.
CIKMCIKM-2015-VolskeBHLS #query
What Users Ask a Search Engine: Analyzing One Billion Russian Question Queries (MV, PB, MH, GL, BS0), pp. 1571–1580.
KDDKDD-2015-Koller #named #question
MOOCS: What Have We Learned? (DK), p. 3.
SIGIRSIGIR-2015-Hawking #question
If SIGIR had an Academic Track, What Would Be In It? (DH), p. 1077.
AMTAMT-2015-SalayZC #question #reuse
Transformation Reuse: What is the Intent? (RS, SZ, MC), pp. 7–15.
PLEASEPLEASE-2015-ChitchyanNG #product line #re-engineering
What Can Software Engineering Do for Sustainability: Case of Software Product Lines (RC, JN, IG), pp. 11–14.
SPLCSPLC-2015-BergerLRGS0CC #industrial #product line
What is a feature?: a qualitative study of features in industrial software product lines (TB, DL, JR, PG, AS, MB, MC, KC), pp. 16–25.
POPLPOPL-2015-VafeiadisBCMN #compilation #memory management #optimisation
Common Compiler Optimisations are Invalid in the C11 Memory Model and what we can do about it (VV, TB, SC, RM, FZN), pp. 209–220.
ASEASE-2015-GuK #question
What Parts of Your Apps are Loved by Users? (XG, SK), pp. 760–770.
ESEC-FSEESEC-FSE-2015-GuJSZL #concurrent #thread
What change history tells us about thread synchronization (RG, GJ, LS, LZ, SL), pp. 426–438.
ICSEICSE-v1-2015-GaoLCMW #interactive #question #testing
Making System User Interactive Tests Repeatable: When and What Should We Control? (ZG, YL, MBC, AMM, ZW), pp. 55–65.
ICSEICSE-v1-2015-LiKZ #question
What Makes a Great Software Engineer? (PLL, AJK, JZ), pp. 700–710.
ICSEICSE-v2-2015-PetersM #re-engineering
Educating Software Engineering Managers — Revisited What Software Project Managers Need to Know Today (LP, AMM), pp. 353–359.
DACDAC-2015-WolfF #architecture #continuation #question
What don’t we know about CPS architectures? (MW, EF), p. 4.
FASEFASE-2015-CzechJW #exclamation #verification
Just Test What You Cannot Verify! (MC, MCJ, HW), pp. 100–114.
CSLCSL-2015-Klein0 #game studies #lookahead
What are Strategies in Delay Games? Borel Determinacy for Games with Lookahead (FK, MZ), pp. 519–533.
WICSAWICSA-2014-CostaPDM #architecture #question #rest
Evaluating a Representational State Transfer (REST) Architecture: What is the Impact of REST in My Architecture? (BC, PFP, FCD, PM), pp. 105–114.
DocEngDocEng-2014-FranzeMW
What academics want when reading digitally (JF, KM, MW), pp. 199–202.
DocEngDocEng-2014-HailpernVD #how #named
Pagination: it’s what you say, not how long it takes to say it (JMH, NDV, MD), pp. 147–156.
JCDLJCDL-2014-ChoiLD #automation #classification #using
What is this song about anyway?: Automatic classification of subject using user interpretations and lyrics (KC, JHL, JSD), pp. 453–454.
JCDLJCDL-2014-KanhabuaNN #analysis #memory management #scalability #wiki
What triggers human remembering of events? A large-scale analysis of catalysts for collective memory in Wikipedia (NK, TNN, CN), pp. 341–350.
JCDLJCDL-2014-KoopmanW #detection #similarity
Where should I publish? Detecting journal similarity based on what have been published there (RK, SW), pp. 483–484.
PODSPODS-2014-Libkin #how #semistructured data
Incomplete data: what went wrong, and how to fix it (LL), pp. 1–13.
VLDBVLDB-2014-MottinLVP #query
Exemplar Queries: Give me an Example of What You Need (DM, ML, YV, TP), pp. 365–376.
EDMEDM-2014-WenYR #analysis #question #sentiment
Sentiment Analysis in MOOC Discussion Forums: What does it tell us? (MW, DY, CPR), pp. 130–137.
ITiCSEITiCSE-2014-EricssonW #mining
Mining job ads to find what skills are sought after from an employers’ perspective on IT graduates (ME, AW), p. 354.
SIGITESIGITE-2014-Fulbright
What is the next big thing?: fulbright’s half-life theory (RF), pp. 93–94.
ICPCICPC-2014-StefikHMAYS #design #empirical #programming language
What is the Foundation of Evidence of Human Factors Decisions in Language Design? An Empirical Study on Programming Language Workshops (AS, SH, MM, AAA, SKY, SS), pp. 223–231.
ICSMEICSME-2014-KononenkoZG #compilation #question
Compiling Clones: What Happens? (OK, CZ, MWG), pp. 481–485.
CHI-PLAYCHI-PLAY-2014-CrenshawN #game studies #online #video
What's in a name?: naming practices in online video games (NC, BAN), pp. 67–76.
DiGRADiGRA-2014-Huh #case study #game studies
What makes young children active game players; ethnographic case study (YJH).
DiGRADiGRA-2014-SchottMN #experience #game studies #using
Exploring the Cause of Game (Derived) Arousal: What biometric accounts of player experience revealed (GS, RM, LN).
FDGFDG-2014-Rusch #design #experience #game studies #health
Games about mental health - Designing the experience of “What it's Like” (DCR).
CHICHI-2014-AhmaniemiKH #gesture #question
What is a device bend gesture really good for? (TTA, JK, MH), pp. 3503–3512.
CHICHI-2014-BensonK #how #web #why
End-users publishing structured information on the web: an observational study of what, why, and how (EB, DRK), pp. 1265–1274.
CHICHI-2014-BrumbyCCF #behaviour #how #question #visual notation
How does knowing what you are looking for change visual search behavior? (DPB, ALC, JC, BF), pp. 3895–3898.
CHICHI-2014-Gilbert #performance #social
What if we ask a different question?: social inferences create product ratings faster (EG), pp. 2759–2762.
CHICHI-2014-HsiehCMN #comprehension
You read what you value: understanding personal values and reading interests (GH, JC, JM, JN), pp. 983–986.
CHICHI-2014-MasseyTTW #file system #question
PIM and personality: what do our personal file systems say about us? (CM, ST, CT, SW), pp. 3695–3704.
CHICHI-2014-MatthewsCWPZBS #community #enterprise #online #question
Goals and perceived success of online enterprise communities: what is important to leaders & members? (TM, JC, SW, AP, HZ, HB, BAS), pp. 291–300.
CHICHI-2014-NorvalAH #network #recommendation #social
What’s on your mind?: investigating recommendations for inclusive social networking and older adults (CN, JLA, VLH), pp. 3923–3932.
CHICHI-2014-TewariC #game studies
What did spot hide?: a question-answering game for preschool children (AT, JC), pp. 1807–1816.
CSCWCSCW-2014-ForteDMA #network #online #social #student
What do teens ask their online social networks?: social search practices among high school students (AF, MD, RMM, DEA), pp. 28–37.
CSCWCSCW-2014-QuerciaOC #question
Aesthetic capital: what makes london look beautiful, quiet, and happy? (DQ, NKO, HC), pp. 945–955.
HCIDUXU-DI-2014-Hellweg #development #education #future of #game studies
Wanting the Unwanted — What Games Can Teach Us about the Future of Software Development (DH), pp. 711–719.
HCIDUXU-DI-2014-ShafiqICRAAR #analysis #case study #learning #smarttech #usability #user satisfaction
To What Extent System Usability Effects User Satisfaction: A Case Study of Smart Phone Features Analysis for Learning of Novice (MS, MI, JGC, ZR, MA, WA, SR), pp. 346–357.
HCIDUXU-ELAS-2014-DysonJ #interface #question
Examining the Interfaces to E-journal Articles: What Do Users Expect? (MCD, EMJ), pp. 164–172.
HCIHCI-AIMT-2014-RouxelPAC #gesture
What You Draw Is What You Search: The Analog Gesture (BR, FP, JYA, GC), pp. 139–147.
HCIHCI-AS-2014-KimC
The Gap between What a Service Provider Shows Off and What Users Really Watch (DK, JC), pp. 710–720.
HCIHCI-TMT-2014-SiliMMGP #automation #generative #question #user interface
A Practical Solution for the Automatic Generation of User Interfaces — What Are the Benefits of a Practical Solution for the Automatic Generation of User Interfaces? (MS, CCM, MM, MG, MP), pp. 445–456.
HCILCT-TRE-2014-LoureiroSBR #collaboration #question
Collaboration, Knowledge Sharing and Digital Environments: What about Argumentation and Questioning Skills? (MJ(L, FNdS, AB, AR), pp. 440–449.
HCISCSM-2014-SobierajK #communication
What Is Beautiful in Cyberspace? Communication with Attractive Avatars (SS, NCK), pp. 125–136.
HCISCSM-2014-TurnerH #network #social
What Does Your Profile Picture Say About You? The Accuracy of Thin-Slice Personality Judgments from Social Networking Sites Made at Zero-Acquaintance (MT, NH), pp. 506–516.
CAiSECAiSE-2014-EpureHDB #flexibility #mining #process
What Shall I Do Next? — Intention Mining for Flexible Process Enactment (EVE, CH, RD, SB), pp. 473–487.
ICEISICEIS-v1-2014-KahkonenMS #enterprise #integration #scalability
What Are the Factors Affecting ERP System Integration? — Observations from a Large Manufacturing Enterprise (TK, AM, KS), pp. 5–17.
CIKMCIKM-2014-Deolalikar14b #clustering #documentation
What is the Shape of a Cluster?: Structural Comparisons of Document Clusters (VD), pp. 1927–1930.
CIKMCIKM-2014-LiWH #twitter
What a Nasty Day: Exploring Mood-Weather Relationship from Twitter (JL, XW, EHH), pp. 1309–1318.
CIKMCIKM-2014-QuattroneNKT
Tell Me What You Want and I Will Tell Others Where You Have Been (AQ, EN, LK, ET), pp. 1783–1786.
ICPRICPR-2014-Al-HalahRS #learning #metric #semantics #similarity
What to Transfer? High-Level Semantics in Transfer Metric Learning for Action Similarity (ZAH, LR, RS), pp. 2775–2780.
KDDKDD-2014-ZhaoGHJWL #microblog #recommendation
We know what you want to buy: a demographic-based system for product recommendation on microblogs (WXZ, YG, YH, HJ, YW, XL), pp. 1935–1944.
KEODKEOD-2014-Aalst #mining #people #process
No Knowledge Without Processes — Process Mining as a Tool to Find Out What People and Organizations Really Do (WMPvdA), pp. 1–11.
KMISKMIS-2014-ToureMM14a #information management #modelling #towards
What If We Considered Awareness for Sustainable Knowledge Management? Towards a Model for Self Regulated Knowledge Management Systems Based on Acceptance Models of Technologies and Awareness (CET, CM, JCM), pp. 413–418.
RecSysRecSys-2014-LiuWW
Tell me where to go and what to do next, but do not bother me (HL, GW, GW), pp. 375–376.
SIGIRSIGIR-2014-NiuLGCG #data analysis #learning #rank #robust
What makes data robust: a data analysis in learning to rank (SN, YL, JG, XC, XG), pp. 1191–1194.
MODELSMoDELS-2014-ReggioLR #overview #uml
Who Knows/Uses What of the UML: A Personal Opinion Survey (GR, ML, FR), pp. 149–165.
SPLCSPLC-2014-Hubaux #product line #research
What research in software product line engineering is not solving in configuration (AH), p. 19.
PLDIPLDI-2014-Palem #question
What exactly is inexact computation good for? (KVP), p. 1.
FSEFSE-2014-Jorgensen #question #re-engineering
Ten years with evidence-based software engineering. What is it? Has it had any impact? What’s next? (MJ), p. 3.
SACSAC-2014-VasconcelosAG #code review #predict
What makes your opinion popular?: predicting the popularity of micro-reviews in foursquare (MAV, JMA, MAG), pp. 598–603.
PPoPPPPoPP-2014-Rubin #compilation #question #research
Heterogeneous computing: what does it mean for compiler research? (NR), pp. 315–316.
ICTSSICTSS-2014-Deak #overview #testing
What Characterizes a Good Software Tester? — A Survey in Four Norwegian Companies (AD), pp. 161–172.
DRRDRR-2013-Smith
History of the Tesseract OCR engine: what worked and what didn’t (RWS).
HTHT-2013-GuerreiroG #exclamation #quote
“Tell me what I want to know!”: the effect of relationship closeness on the relevance of profile attributes (JG, DG), pp. 230–235.
ICDARICDAR-2013-Newell #identification #question
What Should We Be Comparing for Writer Identification? (AJN), pp. 418–422.
SIGMODSIGMOD-2013-MullerKLM #named
WOW: what the world of (data) warehousing can learn from the World of Warcraft (RM, TK, GML, JM), pp. 961–964.
TPDLTPDL-2013-AlNoamanyAWN #internet
Who and What Links to the Internet Archive (YA, AA, MCW, MLN), pp. 346–357.
TPDLTPDL-2013-GoedeWMR
PoliticalMashup Ngramviewer — Tracking Who Said What and When in Parliament (BdG, JvW, MM, RR), pp. 446–449.
VLDBVLDB-2013-ChirkovaY #question
Big and Useful: What’s in the Data for Me? (RC, JY), pp. 1390–1391.
CSEETCSEET-2013-ChimalakondaN #adaptation #education #learning #personalisation #re-engineering
What makes it hard to teach software engineering to end users? some directions from adaptive and personalized learning (SC, KVN), pp. 324–328.
CSEETCSEET-2013-Vallino #question #re-engineering #student
What should students learn in their first (and often only) software engineering course? (JV), pp. 335–337.
CSMRCSMR-2013-AnicheOG #case study #industrial #open source #quality #testing
What Do the Asserts in a Unit Test Tell Us about Code Quality? A Study on Open Source and Industrial Projects (MFA, GAO, MAG), pp. 111–120.
MSRMSR-2013-AllamanisS #stack overflow #topic #why
Why, when, and what: analyzing stack overflow questions by topic, type, and code (MA, CAS), pp. 53–56.
MSRMSR-2013-HamasakiKYCFI #code review #dataset #overview #repository
Who does what during a code review? datasets of OSS peer review repositories (KH, RGK, NY, AECC, KF, HI), pp. 49–52.
MSRMSR-2013-Murphy #development #question
What is software development productivity, anyway? (GCM), p. 1.
MSRMSR-2013-NadiDTHL #how #linux #question #variability
Linux variability anomalies: what causes them and how do they get fixed? (SN, CD, RT, RCH, DL), pp. 111–120.
WCREWCRE-2013-LiXPZ #developer #how #question
What help do developers seek, when and how? (HL, ZX, XP, WZ), pp. 142–151.
HaskellHaskell-2013-WortmannD #haskell #question
Causality of optimized Haskell: what is burning our cycles? (PMW, DJD), pp. 141–152.
DiGRADiGRA-2013-Marquez
What Happens when a Cyberworld Ends? The case of There.com (IVM).
CHICHI-2013-BardzellB #design #question
What is “critical” about critical design? (JB, SB), pp. 3297–3306.
CHICHI-2013-GrahamSPBD #architecture #distributed #game studies
Villains, architects and micro-managers: what tabula rasa teaches us about game orchestration (TCNG, IS, MP, QB, RD), pp. 705–714.
CHICHI-2013-JacobsBSGPG
A conversation between trees: what data feels like in the forest (RJ, SB, MS, MG, DP, GG), pp. 129–138.
CHICHI-2013-KhovanskayaBCVG #approach #design #quote
“Everybody knows what you’re doing”: a critical design approach to personal informatics (VDK, EPSB, DC, SV, GG), pp. 3403–3412.
CHICHI-2013-KukkaOKGO #interactive #visual notation
What makes you click: exploring visual signals to entice interaction on public displays (HK, HO, VK, JG, TO), pp. 1699–1708.
CHICHI-2013-PaneelsOBC #exclamation #usability
Listen to it yourself!: evaluating usability of what’s around me? for the blind (SAP, AO, JRB, JRC), pp. 2107–2116.
CHICHI-2013-ParkerMGACJM #health #online
I am what i eat: identity & critical thinking in an online health forum for kids (AGP, IM, CG, VA, WC, VJ, EDM), pp. 2437–2446.
CSCWCSCW-2013-HarperLTBGSOW #question
What is a file? (RHRH, SEL, ET, RB, PG, GS, WO, EW), pp. 1125–1136.
CSCWCSCW-2013-HemphillOS #question #twitter
What’s congress doing on twitter? (LH, JO, MS), pp. 877–886.
CSCWCSCW-2013-PageKK #social #social media #web
What a tangled web we weave: lying backfires in location-sharing social media (XP, BPK, AK), pp. 273–284.
CSCWCSCW-2013-PanLCL #process #social
To answer or not: what non-qa social activities can tell (YP, LL, CYC, QL), pp. 1253–1263.
HCIDHM-SET-2013-SaparovaBLKMY #health #how #information management #problem #question #usability
Usability Problems in Patient- and Clinician-Oriented Health Information Systems: What Are They and How Do They Differ? (DS, JB, YL, FK, YM, BY), pp. 276–285.
HCIDUXU-PMT-2013-Matthiessen #design #education #experience #industrial #interactive
Interactive Design and the Human Experience: What Can Industrial Design Teach Us (NM), pp. 100–106.
HCIHIMI-HSM-2013-CastronovoMM #interface
What, Where, and When? Intelligent Presentation Management for Automotive Human Machine Interfaces and Its Application (SC, AM, CAM), pp. 460–469.
HCIHIMI-HSM-2013-MoodyW #mobile #security
Security, But at What Cost? — An Examination of Security Notifications within a Mobile Application (GM, DW), pp. 391–399.
HCIOCSC-2013-SaY #motivation #people #social
What Motivates People Use Social Tagging (NS, XY), pp. 86–93.
ICEISICEIS-J-2013-KahkonenMS #enterprise #integration #question
What Do We Know About ERP Integration? (TK, AM, KS), pp. 51–67.
ICEISICEIS-v3-2013-BuchdidB #human-computer #word
HCI in Context — What the Words Reveal about It (SBB, MCCB), pp. 134–142.
CIKMCIKM-2013-KamathC #learning #predict
Spatio-temporal meme prediction: learning what hashtags will be popular where (KYK, JC), pp. 1341–1350.
CIKMCIKM-2013-MoffatTS #effectiveness #metric #modelling
Users versus models: what observation tells us about effectiveness metrics (AM, PT, FS), pp. 659–668.
KDDKDD-2013-YuanCMSM #topic #twitter
Who, where, when and what: discover spatio-temporal topics for twitter users (QY, GC, ZM, AS, NMT), pp. 605–613.
KDIRKDIR-KMIS-2013-GirdauskieneS
Assessing Environmental Dimensions for Creativity and Knowledge Creation — What Features of Task, Group and Time do make an Impact on Creativity and Knowledge Creation in a Creative Organization (LG, AS), pp. 532–538.
RecSysRecSys-2013-BabasCT #personalisation #recommendation
You are what you consume: a bayesian method for personalized recommendations (KB, GC, ET), pp. 221–228.
RecSysRecSys-2013-PeraN #personalisation #recommendation
What to read next?: making personalized book recommendations for K-12 users (MSP, YKN), pp. 113–120.
SEKESEKE-2013-BurnayJF #matter #problem #requirements #why
Context Factors: What they are and why they matter for Requirements Problems (CB, IJ, SF), pp. 30–35.
SIGIRSIGIR-2013-McCreadieMO
News vertical search: when and what to display to users (RM, CM, IO), pp. 253–262.
SIGIRSIGIR-2013-Rodriguez-VaamondeTF #documentation #image #using #web
What can pictures tell us about web pages?: improving document search using images (SRV, LT, AWF), pp. 849–852.
PLEASEPLEASE-2013-ChimalakondaN #education #product line #question
What makes it hard to apply software product lines to educational technologies? (SC, KVN), pp. 17–20.
ECOOPECOOP-2013-TemperoYN #inheritance #java
What Programmers Do with Inheritance in Java (EDT, HYY, JN), pp. 577–601.
OnwardOnward-2013-RossoJ #analysis #concept #design #git
What’s wrong with git?: a conceptual design analysis (SPDR, DJ), pp. 37–52.
REER-BR-2013-Finkelstein #re-engineering
The Next 10 Years: the shape of software to come and what if means for software engineering (AF).
REFSQREFSQ-2013-DanevaBH #architecture #case study #experience #quality #question #requirements
Software Architects’ Experiences of Quality Requirements: What We Know and What We Do Not Know? (MD, LB, AH), pp. 1–17.
ICSEICSE-2013-PolikarpovaF0WM #question #specification
What good are strong specifications? (NP, CAF, YP, YW, BM), pp. 262–271.
DATEDATE-2013-Vigouroux #design #question
What designs for coming supercomputers? (XV), p. 469.
SOSPSOSP-2013-ElphinstoneH #kernel #question
From L3 to seL4 what have we learnt in 20 years of L4 microkernels? (KE, GH), pp. 133–150.
CSLCSL-2013-ChatterjeeCT #decidability #markov #process
What is Decidable about Partially Observable Markov Decision Processes with ω-Regular Objectives (KC, MC, MT), pp. 165–180.
PODSPODS-2012-Chaudhuri #big data #data transformation #research
What next?: a half-dozen data management research goals for big data and the cloud (SC), pp. 1–4.
TPDLTPDL-2012-KhooH #library #modelling
What Would “Google” Do? Users’ Mental Models of a Digital Library Search Engine (MK, CH), pp. 1–12.
VLDBVLDB-2012-DasTADY #analysis #framework
Who Tags What? An Analysis Framework (MD, ST, SAY, GD, CY), pp. 1567–1578.
ITiCSEITiCSE-2012-FidotenS #overview
What do computer scientists do?: a survey of CS and non-CS liberal arts faculty (HF, JS), pp. 279–284.
ITiCSEITiCSE-2012-SharonK #student
Grade inflation, what students value, and the necessity of suffering (TS, PK), pp. 116–121.
SIGITESIGITE-2012-Saulsberry #question #student
Dwindling number of female students: what are we missing? (DS), pp. 221–226.
ICSMEICSM-2012-NasehiSMB #case study #programming #stack overflow
What makes a good code example?: A study of programming Q&A in StackOverflow (SMN, JS, FM, CB), pp. 25–34.
ICSMEICSM-2012-ZhangPXZ #developer #why
Cloning practices: Why developers clone and what can be changed (GZ, XP, ZX, WZ), pp. 285–294.
ICSMEICSM-2012-ZouG #algorithm #automation #case study #detection #industrial #why
An industrial case study of Coman’s automated task detection algorithm: What Worked, What Didn’t, and Why (LZ, MWG), pp. 6–14.
MSRMSR-2012-BirdN #development #distributed #open source #scalability
Who? Where? What? Examining distributed development in two large open source projects (CB, NN), pp. 237–246.
MSRMSR-2012-TianALLL #community #microblog #question #re-engineering
What does software engineering community microblog about? (YT, PA, INL, DL, EPL), pp. 247–250.
SCAMSCAM-2012-VinjuG #complexity #control flow #metric
What Does Control Flow Really Look Like? Eyeballing the Cyclomatic Complexity Metric (JJV, MWG), pp. 154–163.
WCREWCRE-2012-CleveH #question
What Do Foreign Keys Actually Mean? (AC, JLH), pp. 299–307.
FMFM-2012-Wassyng #question
Who Are We, and What Are We Doing Here? (AW), pp. 7–9.
FDGFDG-2012-BergstromJC #difference
What's 'choice' got to do with it?: avatar selection differences between novice and expert players of World of Warcraft and Rift (KB, JJ, SdC), pp. 97–104.
CHICHI-2012-FitchettC #named #predict
AccessRank: predicting what users will do next (SF, AC), pp. 2239–2242.
CHICHI-2012-Gaver #design #question #research
What should we expect from research through design? (WWG), pp. 937–946.
CHICHI-2012-KripleanTMBK #web
Is this what you meant?: promoting listening on the web with reflect (TK, MT, JTM, AB, AK), pp. 1559–1568.
CHICHI-2012-PetrieP #comparison #interactive #problem #usability
What do users really care about?: a comparison of usability problems found by users and experts on highly interactive websites (HP, CP), pp. 2107–2116.
CSCWCSCW-2012-Baba #question
Science, technology and society revisited: what is happening to anthropology and ethnography? (MLB), pp. 5–6.
CSCWCSCW-2012-FugelstadDMKMTS #community #online #predict
What makes users rate (share, tag, edit...)?: predicting patterns of participation in online communities (PF, PD, JFM, JK, CAM, LGT, MS), pp. 969–978.
CSCWCSCW-2012-Nagar #community #online #process
What do you think?: the structuring of an online community as a collective-sensemaking process (YN), pp. 393–402.
CSCWCSCW-2012-XuB #case study #community #interactive #online #scalability
What do you think?: a case study of benefit, expectation, and interaction in a large online critique community (AX, BPB), pp. 295–304.
CIKMCIKM-2012-BiyaniCSM #exclamation #online #thread
I want what i need!: analyzing subjectivity of online forum threads (PB, CC, AS, PM), pp. 2495–2498.
CIKMCIKM-2012-Diaz-AvilesDGSN #online #recommendation #topic #twitter
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter (EDA, LD, ZG, LST, WN), pp. 1592–1596.
CIKMCIKM-2012-MeccaPRS #data transformation #question
What is the IQ of your data transformation system? (GM, PP, SR, DS), pp. 872–881.
ICPRICPR-2012-Gao
What entropy tells about man-made structures (JG), pp. 250–253.
RecSysRecSys-2012-Lamere #question
I’ve got 10 million songs in my pocket: now what? (PL), pp. 207–208.
SIGIRSIGIR-2012-HongLYZZ #automation #novel
What reviews are satisfactory: novel features for automatic helpfulness voting (YH, JL, JMY, QZ, GZ), pp. 495–504.
SIGIRSIGIR-2012-Sakai #evaluation #information retrieval #mobile #towards
Towards zero-click mobile IR evaluation: knowing what and knowing when (TS), pp. 1157–1158.
MODELSMoDELS-2012-ArandaDB #modelling #question
Transition to Model-Driven Engineering — What Is Revolutionary, What Remains the Same? (JA, DD, AB), pp. 692–708.
RERE-2012-GrossD #exclamation #requirements #specification
What you need is what you get!: The vision of view-based requirements specifications (AG, JD), pp. 171–180.
RERE-2012-MaglyasNS #question
What do practitioners mean when they talk about product management? (AM, UN, KS), pp. 261–266.
ASEASE-2012-ThungLLJRD #debugging #detection #empirical #fault #tool support
To what extent could we detect field defects? an empirical study of false negatives in static bug finding tools (FT, L, DL, LJ, FR, PTD), pp. 50–59.
ICSEICSE-2012-Braithwaite #how #programming
Software as an engineering material: How the affordances of programming have changed and what to do about it (KB), p. 998.
ICSEICSE-2012-BudgenDBH #education #question
What scope is there for adopting evidence-informed teaching in SE? (DB, SD, PB, NH), pp. 1205–1214.
ICSEICSE-2012-Wolff #architecture #industrial #question
Software architecture — What does it mean in industry? (EW), p. 999.
ICSEICSE-2012-ZhouM #community
What make long term contributors: Willingness and opportunity in OSS community (MZ, AM), pp. 518–528.
SACSAC-2012-Zaytsev #bnf
BNF was here: what have we done about the unnecessary diversity of notation for syntactic definitions (VZ), pp. 1910–1915.
CASECASE-2012-HoNNH #question
What can be inferred from a tactile arrayed sensor in autonomous in-hand manipulation? (VAH, TN, AN, SH), pp. 461–468.
DACDAC-2012-PalemA #exclamation
What to do about the end of Moore’s law, probably! (KVP, LA), pp. 924–929.
ESOPESOP-2012-AtigBBM #decidability #memory management #modelling #question
What’s Decidable about Weak Memory Models? (MFA, AB, SB, MM), pp. 26–46.
ICSTICST-2012-ChenLYS #question #testing #user interface
When a GUI Regression Test Failed, What Should be Blamed? (JC, ML, KY, BS), pp. 467–470.
ISSTAISSTA-2012-CoughlinCDS #source code
Measuring enforcement windows with symbolic trace interpretation: what well-behaved programs say (DC, BYEC, AD, JGS), pp. 276–286.
LICSLICS-2012-Levin #internet
Turing’s Password: What Internet Cannot Leak (LAL), p. 11.
JCDLJCDL-2011-HallZ #comparison
What do you call it?: a comparison of library-created and user-created tags (CH, MAZ), pp. 53–56.
VLDBVLDB-2011-IdreosMKG #adaptation #in memory
Merging What’s Cracked, Cracking What’s Merged: Adaptive Indexing in Main-Memory Column-Stores (SI, SM, HAK, GG), pp. 585–597.
ITiCSEITiCSE-2011-AmbrosioM #education #matter
What matters most when teaching CS1 (APA, SWM), p. 385.
ITiCSEITiCSE-2011-Hu
Computational thinking: what it might mean and what we might do about it (CH), pp. 223–227.
SIGITESIGITE-2011-GuthrieYS #how #question #women
How did mathemathematics and accounting get so many women majors?: what can IT disciplines learn? (RAG, EKY, LLS), pp. 15–20.
ICSMEICSM-2011-Kemmerer #how
How to steal a botnet and what can happen when you do (RAK), p. 1.
MSRMSR-2011-BernardiSZDP #question #topic
What topics do Firefox and Chrome contributors discuss? (MLB, CS, QZ, DD, MDP), pp. 234–237.
MSRMSR-2011-Whitehead #data mining #game studies #mining
Fantasy, farms, and freemium: what game data mining teaches us about retention, conversion, and virality (JW), p. 1.
SCAMSCAM-2011-SfayhiS #analysis #interactive #visualisation
What You See is What You Asked for: An Effort-Based Transformation of Code Analysis Tasks into Interactive Visualization Scenarios (AS, HAS), pp. 195–203.
RTARTA-2011-Tison #automaton #constraints #question #similarity #term rewriting
Tree Automata, (Dis-)Equality Constraints and Term Rewriting: What’s New? (ST), pp. 1–2.
TLCATLCA-2011-Tison #automaton #constraints #question #similarity #term rewriting
Tree Automata, (Dis-)Equality Constraints and Term Rewriting — What’s New? (ST), pp. 3–5.
DiGRADiGRA-2011-VermeulenLGC #design #game studies #gender #interactive
You Are What You Play? A Quantitative Study into Game Design Preferences across Gender and Their Interaction with Gaming Habits (LV, JVL, FDG, CC).
DiGRADiGRA-2011-Zabban #design #game studies #how #online
What Keeps Designers and Players Apart? Thinking How an Online Game World is Shared (VZ).
CHICHI-2011-JunuzovicIHZTB #multimodal #overview #using
What did i miss?: in-meeting review using multimodal accelerated instant replay (air) conferencing (SJ, KI, RH, ZZ, JCT, CB), pp. 513–522.
CHICHI-2011-MaratheS #question
What drives customization?: control or identity? (SM, SSS), pp. 781–790.
CHICHI-2011-ZadehBKC #challenge #design
What’s in a move?: normal disruption and a design challenge (RZ, ADB, SBK, JNC), pp. 2897–2906.
CSCWCSCW-2011-BalakrishnanKCZ #integration #matter #research #why
Research team integration: what it is and why it matters (ADB, SBK, JNC, RZ), pp. 523–532.
CSCWCSCW-2011-GergleC #collaboration #eye tracking #mobile #using
See what I’m saying?: using Dyadic Mobile Eye tracking to study collaborative reference (DG, ATC), pp. 435–444.
CSCWCSCW-2011-MinamikawaY #estimation
Blog tells what kind of personality you have: egogram estimation from Japanese weblog (AM, HY), pp. 217–220.
HCIDHM-2011-WelkePRJ #analysis #how #modelling #validation
What Is Human? How the Analysis of Brain Dynamics Can Help to Improve and Validate Driver Models (SW, JP, MR, TJ), pp. 513–522.
HCIDUXU-v1-2011-BedekarK #research
What Sustainability Brings to the Research Table (NB, SLK), pp. 363–367.
HCIDUXU-v1-2011-PrabhalaLG #people #question #word
Ethnography, Ethnography or Ethnography? What Happens When the Same Word Means Different Things to Different People? (SP, DL, SG), pp. 102–110.
HCIDUXU-v2-2011-Zeller #design
What You See Is What You Don’t Get: Addressing Implications of Information Technology through Design Fiction (LZ), pp. 329–336.
HCIHCI-ITE-2011-UllahLORM #case study #collaboration #distributed #interactive
What You Feel Is What I Do: A Study of Dynamic Haptic Interaction in Distributed Collaborative Virtual Environment (SU, XL, SO, PR, MM), pp. 140–147.
HCIHCI-MIIE-2011-WangZYZSP
Believe What You Hear, Not What You See — Vision Interferes with Auditory Route Guidance in Complex Environment (YW, HZ, LY, KZ, XS, TP), pp. 346–354.
HCIHCI-UA-2011-EverardJM #learning #question #student
Are MIS Students Learning What They Need to Land a Job? (AE, BMJ, SM), pp. 235–236.
HCIHCI-UA-2011-FangZ #game studies #question
Extraversion and Computer Game Play: Who Plays What Games? (XF, MZ), pp. 659–667.
HCIHCI-UA-2011-Furukawa #design #injection #question
What Label Design of Ampule for Injection, Do You Want? (HF), pp. 159–166.
HCIHIMI-v2-2011-ChellaliB #locality #question
What Maps and What Displays for Remote Situation Awareness and ROV Localization? (RC, KB), pp. 364–372.
HCIHIMI-v2-2011-TakadamaOSMOIHS #order #question
What Kinds of Human Negotiation Skill Can Be Acquired by Changing Negotiation Order of Bargaining Agents? (KT, AO, KS, HM, MO, YI, KH, HS), pp. 335–344.
HCIOCSC-2011-AhmadL11a #question
Interpreting User-Generated Content: What Makes a Blog Believeable? (RA, WGL), pp. 81–89.
CAiSECAiSE-2011-MohanA #comprehension
What Methodology Attributes Are Critical for Potential Users? Understanding the Effect of Human Needs (KM, FA), pp. 314–328.
CIKMCIKM-2011-AgrawalBA #information management #network #social
Information diffusion in social networks: observing and affecting what society cares about (DA, CB, AEA), pp. 2609–2610.
CIKMCIKM-2011-PandeyABHCRZ #behaviour #learning
Learning to target: what works for behavioral targeting (SP, MA, AB, AOH, PC, AR, MZ), pp. 1805–1814.
CIKMCIKM-2011-Pasca #query #using #web
Asking what no one has asked before: using phrase similarities to generate synthetic web search queries (MP), pp. 1347–1352.
CIKMCIKM-2011-TorresW #how #web
What and how children search on the web (SDT, IW), pp. 393–402.
ECIRECIR-2011-ElsweilerBR #case study #email
What Makes Re-finding Information Difficult? A Study of Email Re-finding (DE, MB, IR), pp. 568–579.
KDDKDD-2011-MampaeyTV
Tell me what i need to know: succinctly summarizing data with itemsets (MM, NT, JV), pp. 573–581.
KDIRKDIR-2011-NissanH #generative #information retrieval
Information Retrieval in the Service of Generating Narrative Explanation — What we Want from Gallura (EN, YHK), pp. 487–492.
KMISKMIS-2011-VirtaW #information management
Sharing What You Know, Building Expertise — Information Sharing between Generations in a Business Organization (MV, GW), pp. 129–135.
SIGIRSIGIR-2011-CuiWLOYS #predict #ranking #social
Who should share what?: item-level social influence prediction for users and posts ranking (PC, FW, SL, MO, SY, LS), pp. 185–194.
SIGIRSIGIR-2011-GossenLN #difference #web
What are the real differences of children’s and adults’ web search (TG, TL, AN), pp. 1115–1116.
SIGIRSIGIR-2011-ThomasJH #quality
What deliberately degrading search quality tells us about discount functions (PT, TJ, DH), pp. 1107–1108.
OnwardOnward-2011-Derk #perspective #programming language
What makes a programming language popular?: an essay from a historical perspective (MD), pp. 163–166.
OOPSLAOOPSLA-2011-SonMS #named #security
RoleCast: finding missing security checks when you do not know what checks are (SS, KSM, VS), pp. 1069–1084.
RERE-2011-Waldmann #agile #constraints #development #requirements
There’s never enough time: Doing requirements under resource constraints, and what requirements engineering can learn from agile development (BW), pp. 301–305.
RERE-2011-WeverM #analysis #effectiveness #question
What are the day-to-day factors that are preventing business analysts from effective business analysis? (AW, NAMM), pp. 293–298.
REFSQREFSQ-2011-BakalovaDHW #agile #requirements
Agile Requirements Prioritization: What Happens in Practice and What Is Described in Literature (ZB, MD, AH, RW), pp. 181–195.
FoSSaCSFoSSaCS-2011-AxelsenG #question #source code
What Do Reversible Programs Compute? (HBA, RG), pp. 42–56.
CADECADE-2011-Ranta #logic
Translating between Language and Logic: What Is Easy and What Is Difficult (AR), pp. 5–25.
LICSLICS-2011-BresolinMSS #decidability #logic
What’s Decidable about Halpern and Shoham’s Interval Logic? The Maximal Fragment ABBL (DB, AM, PS, GS), pp. 387–396.
JCDLJCDL-2010-AudenaertF #how
What humanists want: how scholars use source materials (NA, RF), pp. 283–292.
JCDLJCDL-2010-MakriBC #behaviour #why
This is what I’m doing and why: reflections on a think-aloud study of dl users’ information behaviour (SM, AB, ALC), pp. 349–352.
VLDBVLDB-2010-AbadiCCGPR #database #question
Cloud Databases: What’s New? (DA, MJC, SC, HGM, JMP, RR), p. 1657.
ITiCSEITiCSE-2010-GurselG #student
What do promising high school students think about studying computing (DAG, BG), p. 325.
ITiCSEITiCSE-2010-MainFH #quantum #student
What did qubits ever do for me: an answer for CS2 students (MM, RF, YH), pp. 209–213.
MSRMSR-2010-RahmanBD #named #question #smell
Clones: What is that smell? (FR, CB, PTD), pp. 72–81.
ICALPICALP-v2-2010-HofmannKS #functional #question
What Is a Pure Functional? (MH, AK, HS), pp. 199–210.
FDGFDG-2010-LewisWW #debugging #game studies #taxonomy #video
What went wrong: a taxonomy of video game bugs (CL0, JW, NWF), pp. 108–115.
FDGFDG-2010-TaylorW #education #game studies #how
This is how we play it: what a mega-LAN can teach us about games (TLT, EW), pp. 195–202.
CHICHI-2010-BaileyH #case study #idea #pipes and filters #scalability
What’s your idea?: a case study of a grassroots innovation pipeline within a large software company (BPB, EH), pp. 2065–2074.
CHICHI-2010-HartmannMBK #error message #fault
What would other programmers do: suggesting solutions to error messages (BH, DM, JB, SRK), pp. 1019–1028.
CHICHI-2010-LiNLDC #process #reuse #web
Here’s what i did: sharing and reusing web activity with ActionShot (IL, JN, TAL, CD, AC), pp. 723–732.
CHICHI-2010-MorrisTP #behaviour #network #overview #people #social #why
What do people ask their social networks, and why?: a survey study of status message q&a behavior (MRM, JT, KP), pp. 1739–1748.
CHICHI-2010-SauroL #question #testing #usability
Average task times in usability tests: what to report? (JS, JRL), pp. 2347–2350.
CHICHI-2010-Thom-SantelliCG #collaboration
What do you know?: experts, novices and territoriality in collaborative systems (JTS, DC, GG), pp. 1685–1694.
CHICHI-2010-ViewegHSP #microblog #twitter
Microblogging during two natural hazards events: what twitter may contribute to situational awareness (SV, ALH, KS, LP), pp. 1079–1088.
CSCWCSCW-2010-SetlockF #cost analysis #tool support
What’s it worth to you?: the costs and affordances of CMC tools to asian and american users (LDS, SRF), pp. 341–350.
CSCWCSCW-2010-StarbirdPHV #microblog #social
Chatter on the red: what hazards threat reveals about the social life of microblogged information (KS, LP, ALH, SV), pp. 241–250.
EDOCEDOC-2010-VoelzG #quality #question
What is Different in Quality Management for SOA? (DV, AG), pp. 47–56.
CIKMCIKM-2010-PiwowarskiFLR #information retrieval #quantum
What can quantum theory bring to information retrieval (BP, IF, ML, KvR), pp. 59–68.
RecSysRecSys-2010-ZhaoZYZZF #recommendation #social
Who is talking about what: social map-based recommendation for content-centric social websites (SZ, MXZ, QY, XZ, WZ, RF), pp. 143–150.
OOPSLAOOPSLA-2010-ReichenbachISAG #garbage collection
What can the GC compute efficiently?: a language for heap assertions at GC time (CR, NI, YS, EA, SZG), pp. 256–269.
AdaEuropeAdaEurope-2010-Baker #manycore #question #realtime #reliability
What to Make of Multicore Processors for Reliable Real-Time Systems? (TPB), pp. 1–18.
RERE-2010-Beatty #question
My Company Can’t Afford RE Training Right Now, What Do We Do? (JB), p. 387.
ICSEICSE-2010-MusilSWB #education #game studies #prototype
Synthesized essence: what game jams teach about prototyping of new software products (JM, AS, DW, SB), pp. 183–186.
DACDAC-2010-GajskiAS #question #synthesis
What input-language is the best choice for high level synthesis (HLS)? (DG, TMA, SS), pp. 857–858.
DACDAC-2010-HarmsCDHUWY #design #experience #question
What will make your next design experience a much better one? (TH, JAC, RD, RAH, DU, GW, JY), p. 730.
DACDAC-2010-Hiskens #grid #question #smarttech
What’s smart about the smart grid? (IAH), pp. 937–939.
DACDAC-2010-NsBNPSGB #design #future of #power management #question
What’s cool for the future of ultra low power designs? (NN, JB, KN, VP, TS, AG, SB), pp. 523–524.
DATEDATE-2010-Cota #embedded #problem #question #testing
Embedded software testing: What kind of problem is this? (ÉFC), p. 1486.
ICSTICST-2010-WeyukerBO #debugging #question
We’re Finding Most of the Bugs, but What are We Missing? (EJW, RMB, TJO), pp. 313–322.
HTHT-2009-MeissDGRM #behaviour #web
What’s in a session: tracking individual behavior on the web (MM, JD, BG, JJR, FM), pp. 173–182.
JCDLJCDL-2009-KulesCBS #interface #question
What do exploratory searchers look at in a faceted search interface? (BK, RC, MB, TS), pp. 313–322.
JCDLJCDL-2009-McCownN #facebook #question
What happens when facebook is gone? (FM, MLN), pp. 251–254.
SIGMODSIGMOD-2009-AngelKSS #question
What’s on the grapevine? (AA, NK, NS, DS), pp. 1047–1050.
SIGMODSIGMOD-2009-MuellerT #database #named #question
FPGA: what’s in it for a database? (RM, JT), pp. 999–1004.
EDMEDM-2009-MostowB #how #lessons learnt #why
Why, What, and How to Log? Lessons from LISTEN (JM, JB), pp. 269–278.
ITiCSEITiCSE-2009-MitchellPH #question
Computing science: what do pupils think? (AM, HCP, JH), p. 353.
ITiCSEITiCSE-2009-PargasB #question
What were they thinking? (RPP, SPB), pp. 134–138.
ICSMEICSM-2009-HindleGH #analysis #developer #topic
What’s hot and what’s not: Windowed developer topic analysis (AH, MWG, RCH), pp. 339–348.
ICSMEICSM-2009-Wang #developer #motivation #source code
What motivate software engineers to refactor source code? evidences from professional developers (YW), pp. 413–416.
MSRMSR-2009-RastkarM #interactive #on the #question #recommendation
On what basis to recommend: Changesets or interactions? (SR, GCM), pp. 155–158.
FMFM-2009-BonzanniFFK #biology #formal method #question
What Can Formal Methods Bring to Systems Biology? (NB, KAF, WF, EK), pp. 16–22.
DiGRADiGRA-2009-Johansson #game studies #online #question
What Makes Online Collectible Card Games Fun to Play? (SJJ).
DiGRADiGRA-2009-KafaiBF #education #game studies
What Videogame Making Can Teach Us About Access and Ethics in Participatory Culture (YBK, WQB, DAF).
DiGRADiGRA-2009-MacCallum-Stewart #game studies #how #online
'What sort of Fish was it?' How Players Understand their Narrative in Online Games (EMS).
DiGRADiGRA-2009-Niedenthal #game studies
What We Talk About When We Talk About Game Aesthetics (SN).
CHICHI-2009-BaoG #using
What’s “this” you say?: the use of local references on distant displays (PB, DG), pp. 1029–1032.
CHICHI-2009-BuscherCM #eye tracking #predict #using #web
What do you see when you’re surfing?: using eye tracking to predict salient regions of web pages (GB, EC, MRM), pp. 21–30.
CHICHI-2009-GaverBKBJ #design #how
Anatomy of a failure: how we knew when our design went wrong, and what we learned from it (WWG, JB, TK, AB, NJ), pp. 2213–2222.
CHICHI-2009-KitturCS #topic #using #wiki
What’s in Wikipedia?: mapping topics and conflict using socially annotated category structure (AK, EHC, BS), pp. 1509–1512.
CHICHI-2009-Ljungblad
Passive photography from a creative perspective: “If I would just shoot the same thing for seven days, it’s like... What’s the point?” (SL), pp. 829–838.
CHICHI-2009-SchechterER #approach #authentication #social
It’s not what you know, but who you know: a social approach to last-resort authentication (SES, SE, RWR), pp. 1983–1992.
CHICHI-2009-ShenLD #video
What’s next?: emergent storytelling from video collection (EYTS, HL, GD), pp. 809–818.
CHICHI-2009-Thom-SantelliCG #authoring #collaboration
What’s mine is mine: territoriality in collaborative authoring (JTS, DC, GG), pp. 1481–1484.
HCIDHM-2009-Marshall
What the Eyes Reveal: Measuring the Cognitive Workload of Teams (SPM), pp. 265–274.
HCIHCD-2009-Go #design #question #usability
What Properties Make Scenarios Useful in Design for Usability? (KG), pp. 193–201.
HCIHCI-NT-2009-GuoPS
What Do Users Want to See? A Content Preparation Study for Consumer Electronics (YG, RWP, GS), pp. 413–420.
HCIHCI-NT-2009-Lew #experience
What Do Users Really Do? Experience Sampling in the 21st Century (GSL), pp. 314–319.
HCIIDGD-2009-EugeneHMBRL #authentication #design #process
This Is Who I Am and This Is What I Do: Demystifying the Process of Designing Culturally Authentic Technology (WE, LH, KM, QB, YAR, SL), pp. 19–28.
CIKMCIKM-2009-BeckerBGJP #web
What happens after an ad click?: quantifying the impact of landing pages in web advertising (HB, AZB, EG, VJ, BP), pp. 57–66.
CIKMCIKM-2009-KementsietsidisW #evaluation #query #question
Provenance query evaluation: what’s so special about it? (AK, MW), pp. 681–690.
CIKMCIKM-2009-QianLLXSS #community #development #topic
What’s behind topic formation and development: a perspective of community core groups (TQ, QL, BL, HX, JS, PCYS), pp. 1843–1846.
CIKMCIKM-2009-SunLL #case study #category theory #classification #performance #predict
What makes categories difficult to classify?: a study on predicting classification performance for categories (AS, EPL, YL), pp. 1891–1894.
ECIRECIR-2009-Rijke #question
Searching User Generated Content: What’s Next? (MdR), p. 2.
ECIRECIR-2009-SandersonTAC
What Else Is There? Search Diversity Examined (MS, JT, TA, PDC), pp. 562–569.
KEODKEOD-2009-Kop #concept #ontology #owl #question
What are Main Concepts in an OWL Domain Ontology? (CK), pp. 404–407.
SIGIRSIGIR-2009-KapteinMK
Who said what to whom?: capturing the structure of debates (RK, MM, JK), pp. 831–832.
SIGIRSIGIR-2009-ZhangL #query #question #web
What queries are likely to recur in web search? (DZ, JL), pp. 827–828.
MODELSMoDELS-2009-Mellor #modelling #question
Models. Models. Models. So What? (SJM), p. 1.
MODELSMoDELS-2009-Mellor #modelling #question
Models. Models. Models. So What? (SJM), p. 1.
ECOOPECOOP-2009-Jones #haskell #why
Classes, Jim, But Not as We Know Them — Type Classes in Haskell: What, Why, and Whither (SLPJ), p. 1.
RERE-2009-WnukRK #comprehension #industrial #scalability #visualisation
What Happened to Our Features? Visualization and Understanding of Scope Change Dynamics in a Large-Scale Industrial Setting (KW, BR, LK), pp. 89–98.
SLESLE-2009-Bezivin #problem #question
If MDE Is the Solution, Then What Is the Problem? (JB), p. 2.
ESOPESOP-2009-Eber #contract #design #programming language #question #specification #tool support
The Financial Crisis, a Lack of Contract Specification Tools: What Can Finance Learn from Programming Language Design? (JME), pp. 205–206.
TPDLECDL-2008-KeeganC #difference
What a Difference a Default Setting Makes (TTK, SJC), pp. 264–267.
TPDLECDL-2008-RazikinGCL #question #social
Can Social Tags Help You Find What You Want? (KR, DHLG, AYKC, CSL), pp. 50–61.
HTHT-2008-JatowtKOT #documentation #interactive #modelling #towards
What can history tell us?: towards different models of interaction with document histories (AJ, YK, HO, KT), pp. 5–14.
SIGMODSIGMOD-2008-HarizopoulosAMS
OLTP through the looking glass, and what we found there (SH, DJA, SM, MS), pp. 981–992.
VLDBVLDB-2008-BlottW #question #similarity
What’s wrong with high-dimensional similarity search? (SB, RW), p. 3.
ITiCSEITiCSE-2008-CaspersenCDPST #education #question
What is masters level education in informatics? (MEC, LNC, GD, AP, SS, HT), p. 341.
ITiCSEITiCSE-2008-ChinnV #gender #student
What students say about gender in hiring software professionals (DC, TV), p. 344.
ITiCSEITiCSE-2008-DorgeS #question
What are information technology’s key qualifications? (CD, CS), pp. 296–300.
ITiCSEITiCSE-2008-Hall #web #why
What is web science and why is it important to CSE (WH), pp. 1–2.
ICPCICPC-2008-AlaliKM #commit #open source #repository
What’s a Typical Commit? A Characterization of Open Source Software Repositories (AA, HHK, JIM), pp. 182–191.
MSRMSR-2008-HindleGH #commit #scalability
What do large commits tell us?: a taxonomical study of large commits (AH, DMG, RCH), pp. 99–108.
CHICHI-2008-ChauMF
What to do when search fails: finding information by association (DHC, BAM, AF), pp. 999–1008.
CHICHI-2008-NovNY
What drives content tagging: the case of photos on Flickr (ON, MN, CY), pp. 1097–1100.
CHICHI-2008-PetrelliWB #named #physics #question
AutoTypography: what can physical mementos tell us about digital memories? (DP, SW, JB), pp. 53–62.
CHICHI-2008-SubrahmaniyanBGBWNBDF #debugging #testing
Testing vs. code inspection vs. what else?: male and female end users’ debugging strategies (NS, LB, VG, MMB, SW, VN, KB, RD, XZF), pp. 617–626.
CSCWCSCW-2008-PriedhorskyT #how #why
The computational geowiki: what, why, and how (RP, LGT), pp. 267–276.
CSCWCSCW-2008-TolmieCRB #quote
“Are you watching this film or what?”: interruption and the juggling of cohorts (PT, AC, TR, SB), pp. 257–266.
ICEISICEIS-DISI-2008-PennesiHRWS #why
WWW++ — Adding Why to What, When and Where (PP, MH, CR, CYW, SS), pp. 304–309.
ICEISICEIS-SAIC-2008-BninaCNA #question #trust
What Can Context Do for Trust in Manets? (EBB, OC, CTN, HKBA), pp. 133–141.
ECIRECIR-2008-Belkin #challenge #information retrieval
Some(What) Grand Challenges for Information Retrieval (NJB), p. 1.
ICMLICML-2008-LiLW #framework #learning #self
Knows what it knows: a framework for self-aware learning (LL, MLL, TJW), pp. 568–575.
KRKR-2008-HinrichsG #finite #how #injection #logic
Injecting the How into the What: Investigating a Finite Classical Logic (TLH, MRG), pp. 92–192.
RERE-2008-SimAA #experience #requirements
Marginal Notes on Amethodical Requirements Engineering: What Experts Learned from Experience (SES, TAA, BAA), pp. 105–114.
FSEFSE-2008-BettenburgJSWPZ #debugging #question
What makes a good bug report? (NB, SJ, AS, CW, RP, TZ), pp. 308–318.
SACSAC-2008-AnagnostopoulosAH #adaptation #data type #multi
Deciding what to observe next: adaptive variable selection for regression in multivariate data streams (CA, NMA, DJH), pp. 961–965.
DACDAC-2008-HaritanHYPWNWM #challenge #design #exclamation #manycore #question
Multicore design is the challenge! what is the solution? (EH, TH, HY, PGP, WW, AN, DW, MM), pp. 128–130.
DACDAC-2008-SparksWBLCPHR #industrial
Election year: what the electronics industry needs---and can expect---from the incoming administration (TS, PW, LB, RL, TC, CP, VH, CR), pp. 76–77.
FASEFASE-2008-ClassenHS #perspective #requirements
What’s in a Feature: A Requirements Engineering Perspective (AC, PH, PYS), pp. 16–30.
FoSSaCSFoSSaCS-2008-HabermehlIV #array #decidability #integer #question
What Else Is Decidable about Integer Arrays? (PH, RI, TV), pp. 474–489.
TAPTAP-2008-WeyukerO #fault #predict #question
What Can Fault Prediction Do for YOU? (EJW, TJO), pp. 18–29.
ECSAECSA-2007-Papazoglou #question
What’s in a Service? (MPP), pp. 11–28.
WICSAWICSA-2007-Muccini #architecture #testing
What Makes Software Architecture-Based Testing Distinguishable (HM), p. 29.
HTHT-2007-schraefel #question #semantics #web #why
What is an analogue for the semantic web and why is having one important? (MMCS), pp. 123–132.
JCDLJCDL-2007-LeeTS
Defining what digital curators do and what they need to know: the digccurr project (CAL, HRT, JCS), pp. 49–50.
PODSPODS-2007-WhiteRGD #question
What is “next” in event processing? (WMW, MR, JG, AJD), pp. 263–272.
VLDBVLDB-2007-Amer-YahiaH #database #question #web
What does Web 2.0 have to do with databases? (SAY, AYH), p. 1443.
VLDBVLDB-2007-IvesDR #adaptation #how #query #question #why
Adaptive query processing: Why, How, When, and What Next? (ZGI, AD, VR), pp. 1426–1427.
ITiCSEITiCSE-2007-LarssonAKE #evaluation #question
What impacts course evaluation? (EL, MA, DK, PE), p. 333.
MSRMSR-2007-RigbyH #analysis #developer
What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List (PCR, AEH), p. 23.
DLTDLT-2007-Kunc #equation #question
What Do We Know About Language Equations? (MK), pp. 23–27.
DiGRADiGRA-2007-PepplerK #education #game studies #learning
What Videogame Making Can Teach Us About Literacy and Learning: Alternative Pathways into Participatory Culture (KAP, YBK).
CHICHI-2007-AndreasenNSS #empirical #testing #usability
What happened to remote usability testing?: an empirical study of three methods (MSA, HVN, SOS, JS), pp. 1405–1414.
CHICHI-2007-CutrellG #web
What are you looking for?: an eye-tracking study of information usage in web search (EC, ZG), pp. 407–416.
CHICHI-2007-LindgaardC #question #testing #usability
Usability testing: what have we overlooked? (GL, JC), pp. 1415–1424.
CHICHI-2007-ShehanE #human-computer #network #question
Home networking and HCI: what hath god wrought? (ES, WKE), pp. 547–556.
HCIHCI-AS-2007-Furukawa #challenge #effectiveness #fault #injection #question
Challenge for Preventing Medication Errors -Learn from Errors- : What Is the Most Effective Label Display to Prevent Medication Error for Injectable Drug ? (HF), pp. 437–442.
HCIHCI-AS-2007-LiuLS #behaviour #comprehension #design #game studies #online
What Makes Game Players Want to Play More? A Mathematical and Behavioral Understanding of Online Game Design (DL, XL, RS), pp. 284–293.
HCIHCI-IDU-2007-EschenbrennerN #identification #information management
What Makes Them So Special?: Identifying Attributes of Highly Competent Information System Users (BE, FFHN), pp. 736–745.
HCIHCI-IDU-2007-HwangS #detection #problem #usability
What Makes Evaluators to Find More Usability Problems?: A Meta-analysis for Individual Detection Rates (WH, GS), pp. 499–507.
HCIHCI-IPT-2007-DengZTDW #documentation
Improving Document Icon to Re-find Efficiently What You Need (CD, MZ, FT, GD, HW), pp. 49–52.
HCIHIMI-IIE-2007-VuGNSCCP #online #privacy #question
Examining User Privacy Practices While Shopping Online: What Are Users Looking for? (KPLV, FPG, DN, JS, BC, VC, RWP), pp. 792–801.
HCIOCSC-2007-Bickmore #lessons learnt #smarttech #social
What Would Jiminy Cricket Do? Lessons from the First Social Wearable (TWB), pp. 12–21.
ICEISICEIS-AIDSS-2007-SotoVPP #information management #question
Knowledge Management Systems with Reputation and Intuition — What for? (JPS, AV, JPR, MP), pp. 498–503.
ICEISICEIS-HCI-2007-MelguizoBDBB #memory management #recommendation
What a Proactive Recommendation System Needs — Relevance, Non-Intrusiveness, and a New Long-Term Memory (MCPM, TB, AD, LB, AvdB), pp. 86–91.
CIKMCIKM-2007-JonesKPT #privacy #query #quote
“I know what you did last summer”: query logs and user privacy (RJ, RK, BP, AT), pp. 909–914.
ICMLICML-2007-Werner #algorithm #consistency #question
What is decreased by the max-sum arc consistency algorithm? (TW), pp. 1007–1014.
SIGIRSIGIR-2007-LinYC #question
What emotions do news articles trigger in their readers? (KHYL, CY, HHC), pp. 733–734.
ASEASE-2007-Selic #automation
The embarrassing truth about software automation and what should be done about it (BS), p. 3.
DATEDATE-2007-Wingen #design #question
What if you could design tomorrow’s system today? (NW), pp. 835–840.
ESOPESOP-2007-MantelR #classification #security
Controlling the What and Where of Declassification in Language-Based Security (HM, AR), pp. 141–156.
ISSTAISSTA-2007-ChangPY #approach
Finding what’s not there: a new approach to revealing neglected conditions in software (RYC, AP, JY), pp. 163–173.
TPDLECDL-2006-ShenVFF #library #question
What Is a Successful Digital Library? (RS, NSV, WF, EAF), pp. 208–219.
JCDLJCDL-2006-ChoiR
What do digital librarians do (YC, EMR), pp. 187–188.
SIGMODSIGMOD-2006-DeshpandeHR #adaptation #how #query #why
Adaptive query processing: why, how, when, what next (AD, JMH, VR), pp. 806–807.
CSEETCSEET-2006-FornaroHT #design #student
What Clients Want — What Students Do: Reflections on Ten Years of Sponsored Senior Design Projects (RJF, MRH, ALT), pp. 226–236.
ITiCSEITiCSE-2006-BoyleB #question
What don’t you know? (RDB, JB), p. 343.
ITiCSEITiCSE-2006-ChenLMSS #question #student
What do beginning students know, and what can they do? (TYC, GL, RM, KS, BS), p. 329.
ICPCICPC-2006-LawrieMFB #case study #identifier
What’s in a Name? A Study of Identifiers (DL, CM, HF, DB), pp. 3–12.
CHICHI-2006-WallB #feedback #graph #navigation
Feeling what you hear: tactile feedback for navigation of audio graphs (SAW, SAB), pp. 1123–1132.
CSCWCSCW-2006-Lee #analysis #social
What goes around comes around: an analysis of del.icio.us as social space (KJL), pp. 191–194.
ICPRICPR-v1-2006-BoschMOM #approach #classification #question
Object and Scene Classification: what does a Supervised Approach Provide us? (AB, XM, AO, RM), pp. 773–777.
SEKESEKE-2006-FarenhorstBDLV #architecture #domain model #question
What’s in Constructing a Domain Model for Sharing Architectural Knowledge? (RF, RCdB, RD, PL, HvV), pp. 108–113.
SIGIRSIGIR-2006-CarmelYDP #query #question
What makes a query difficult? (DC, EYT, AD, DP), pp. 390–397.
SIGIRSIGIR-2006-FrankowskiCSTR #privacy #risk management
You are what you say: privacy risks of public mentions (DF, DC, SS, LGT, JR), pp. 565–572.
RERE-2006-AkkermansG #question #requirements
What is This Science Called Requirements Engineering? (HA, JG), pp. 266–271.
ICSEICSE-2006-MikulovicH #communication #development #distributed #how #quote #requirements
“How do I know what I have to do?”: the role of the inquiry culture in requirements communication for distributed software development projects (VM, MH), pp. 921–925.
SACSAC-2006-SauvagnatHB #question #retrieval #using #xml
XML retrieval: what about using contextual relevance? (KS, LH, MB), pp. 1114–1115.
DACDAC-2006-SingerMBHK #question
The IC nanometer race — what will it take to win? (GS, PM, DB, FCH, HKK), pp. 77–78.
DATEDATE-2006-DasBDC #design #model checking #question
What lies between design intent coverage and model checking? (SD, PB, PD, PPC), pp. 1217–1222.
VMCAIVMCAI-2006-BradleyMS #array #decidability #question
What’s Decidable About Arrays? (ARB, ZM, HBS), pp. 427–442.
WICSAWICSA-2005-Koschke #architecture #reverse engineering
What Architects Should Know About Reverse Engineering and Rengineering (RK), pp. 4–10.
WICSAWICSA-2005-LungZG #architecture
Reflection on Software Architecture Practices — What Works, What Remains to Be Seen, and What Are the Gaps (CHL, MZ, NG), pp. 221–222.
HTHT-2005-Moulthrop #hypermedia #problem
What the geeks know: hypertext and the problem of literacy (SM), pp. 227–231.
HTHT-2005-YamamotoNNAM #authoring #hypermedia
What is the space for?: the role of space in authoring hypertext representations (YY, KN, YN, MA, RM), pp. 117–125.
ICDARICDAR-2005-AblameykoBP
. What Should the User Do? Inference Structures and Line Drawing Interpretation (SA, VB, TPP), pp. 760–764.
JCDLJCDL-2005-ZhuangWG #crawling #documentation #library
What’s there and what’s not?: focused crawling for missing documents in digital libraries (ZZ, RW, CLG), pp. 301–310.
CSEETCSEET-2005-Selic #developer
What I Wish I Had Learned in School: Reflections on 30+ Years as a Software Developer (BS), p. 5.
ITiCSEITiCSE-2005-AlmstrumL #question #women
What attracts women to CS? (VLA, MZL), p. 378.
ITiCSEITiCSE-2005-MurphyT #data type #student
Do computer science students know what they know?: a calibration study of data structure knowledge (LM, JDT), pp. 148–152.
ICSMEICSM-2005-Demeyer #morphism #performance #polymorphism #question
Refactor Conditionals into Polymorphism: What’s the Performance Cost of Introducing Virtual Calls? (SD), pp. 627–630.
IWPCIWPC-2005-HouWH #framework #question
What Can Programmer Questions Tell Us About Frameworks? (DH, KW, HJH), pp. 87–96.
SEFMSEFM-2005-Chalin #logic #question
Logical Foundations of Program Assertions: What do Practitioners Want? (PC), pp. 383–393.
DiGRADiGRA-2005-BeckerJ #game studies #learning #question
Games for Learning: Are Schools Ready for What's to Come? (KB, MJ).
DiGRADiGRA-2005-Bojin #experience #game studies
What Do We Learn When We Change the Way We Play? Augmenting the Computer Gameplay Experience (NB).
DiGRADiGRA-2005-Esposito05a #game studies
A Short and Simple Definition of What a Videogame Is (NE).
DiGRADiGRA-2005-HoshinoSB #game studies #question
The Dawn of Game Studies in Japan: What Held Japanese Game Studies Back? (RH, KS, AB).
DiGRADiGRA-2005-NeulightK #case study #experience #learning #multi
What happens if you catch Whypox? Children's learning experiences of infectious disease in a multi-user virtual environment (NN, YBK).
DiGRADiGRA-2005-Thomas
2, 443 Quenkers and counting, or What in us really wants to grind? Examining the grind in Star Wars Galaxies: An Empire Divided (DT).
CHICHI-2005-ConsolvoSMLTP #people #social #why
Location disclosure to social relations: why, when, & what people want to share (SC, IES, TM, AL, JT, PP), pp. 81–90.
CHICHI-2005-OviattLC #difference #integration #multimodal #question #why
Individual differences in multimodal integration patterns: what are they and why do they exist? (SLO, RL, RC), pp. 241–249.
CHICHI-2005-PatilL #configuration management #privacy
Who gets to know what when: configuring privacy permissions in an awareness application (SP, JL), pp. 101–110.
MODELSMoDELS-2005-MiliE #design pattern #problem #question #representation
Representing and Applying Design Patterns: What Is the Problem? (HM, GEB), pp. 186–200.
MODELSMoDELS-2005-MiliE #design pattern #problem #question #representation
Representing and Applying Design Patterns: What Is the Problem? (HM, GEB), pp. 186–200.
RERE-2005-AlexanderRM #industrial #process #requirements
What Influences the Requirements Process in Industry? A Report on Industrial Practice (IFA, SR, NAMM), pp. 411–415.
ICSEICSE-2005-MaurerM #agile
What you always wanted to know about agile methods but did not dare to ask (FM, GM), pp. 731–732.
ICSEICSE-2005-ShawHO #design #education #re-engineering
Deciding what to design: closing a gap in software engineering education (MS, JDH, IO), pp. 607–608.
COCVCOCV-J-2005-Langmaack #question #reasoning
What Level of Mathematical Reasoning can Computer Science Demand of a Software Implementer? (HL), pp. 5–32.
DACDAC-2005-NassifZMMPV #exclamation
The Titanic: what went wrong! (SRN, PSZ, CM, MM, SDP, WV), pp. 349–350.
CADECADE-2005-Dowek #consistency #question
What Do We Know When We Know That a Theory Is Consistent? (GD), pp. 1–6.
HTHT-2004-Wardrip-Fruin #hypermedia
What hypertext is (NWF), pp. 126–127.
ITiCSEITiCSE-2004-Ben-AriBBH #education #question #research
What do we mean by theoretically sound research in computer science education? (MBA, AB, SB, CH), pp. 230–231.
ITiCSEITiCSE-2004-VeenML #education #question
What is lacking in curriculum schemes for computing/informatics? (MvV, FM, KL), pp. 186–190.
SIGITESIGITE-2004-McMahon #c# #case study #dot-net #education #framework #how #learning
How can you teach what you don’t know?: a case study of learning and teaching microsoft .NET framework and C# (REM), p. 269.
SIGITESIGITE-2004-MiertschinW #mobile #question
Mobile computing in the freshman computer literacy course what impact? (SLM, CLW), pp. 149–152.
ICALPICALP-2004-Hofmann #logic #question #type system
What Do Program Logics and Type Systems Have in Common? (MH0), pp. 4–7.
CHICHI-2004-BellottiDGFBD #design #towards
What a to-do: studies of task management towards the design of a personal task list manager (VB, BD, NG, PF, DGB, ND), pp. 735–742.
ICEISICEIS-v3-2004-Nobre04a
Computer Ethics: What are we Talking About? Possible Contributions from Philosophy of Action, Critical Realism and Modern Hermeneutics (ÂLN), pp. 683–687.
KRKR-2004-CalvaneseGLLR #query
What to Ask to a Peer: Ontolgoy-based Query Reformulation (DC, GDG, DL, ML, RR), pp. 469–478.
KRKR-2004-Denecker #analysis #logic programming
What’s in a Model? Epistemological Analysis of Logic Programming (MD), pp. 106–113.
KRKR-2004-Patel-Schneider #owl #question #why
What Is OWL (and Why Should I Care)? (PFPS), pp. 735–737.
SIGIRSIGIR-2004-LarsonF #information retrieval
Geographic information retrieval (GIR): searching where and what (RRL, PF), p. 600.
SPLCSPLC-2004-Krueger #product line
Product Line Binding Times: What You Don?t Know Can Hurt You (CWK), pp. 305–306.
PEPMPEPM-2004-Morrisett #question
Invited talk: what’s the future for proof-carrying code? (JGM), p. 203.
PPDPPPDP-2004-Morrisett #question
Invited talk: what’s the future for proof-carrying code? (JGM), p. 5.
DACDAC-2004-BacchiniDBBNIY #named #verification
Verification: what works and what doesn’t (FB, RFD, BB, KB, KN, MI, EY), p. 274.
DACDAC-2004-DeoZBCGLRRS #question
What happened to ASIC?: Go (recon)figure? (ND, BZ, IB, JC, BG, PL, CBR, CR, RS), p. 185.
DACDAC-2004-LiuPP #library #power management #question
Practical repeater insertion for low power: what repeater library do we need? (XL, YP, MCP), pp. 30–35.
DATEDATE-v2-2004-RajskiT #design #question #requirements
Nanometer Design: What are the Requirements for Manufacturing Test? (JR, KT), pp. 930–937.
HTHT-2003-Nurnberg #hypermedia #question
What is hypertext? (PJN), pp. 220–221.
PODSPODS-2003-CormodeM
What’s hot and what’s not: tracking most frequent items dynamically (GC, SM), pp. 296–306.
CSEETCSEET-2003-Cowling #question
What Should Graduating Software Engineers Be Able To Do? (AJC), pp. 88–98.
CSEETCSEET-2003-GermainR #process #question #student
What Cognitive Activities Are Performed in Student Projects? (ÉG, PNR), p. 224–?.
ITiCSEITiCSE-2003-MurrayHKMWST #case study #education #experience #ide #java
Experiences with IDEs and Java teaching: what works and what doesn’t (KAM, JMH, MK, TM, PJW, NCS, JAT), pp. 215–216.
ITiCSEITiCSE-2003-SheardD #question #student
Influences on cheating practice of graduate students in IT courses: what are the factors? (JS, MD), pp. 45–49.
CHICHI-2003-FriedmanKH #hardware #online
Hardware companions?: what online AIBO discussion forums reveal about the human-robotic relationship (BF, PHKJ, JH), pp. 273–280.
CHICHI-2003-Ho-ChingML #design #evaluation
Can you see what i hear?: the design and evaluation of a peripheral sound display for the deaf (FWlHC, JM, JAL), pp. 161–168.
CHICHI-2003-JackoSSBEEKMZ #feedback #multimodal #performance #question #visual notation
Older adults and visual impairment: what do exposure times and accuracy tell us about performance gains associated with multimodal feedback? (JAJ, IUS, FS, LB, PJE, VKE, TK, KPM, BSZ), pp. 33–40.
ICEISICEIS-v4-2003-Cox #communication #design
What Is the Value of Emotion in Communication? Implications for User Centred Design (RC), pp. 418–425.
ECIRECIR-2003-HeeschR #feedback #image #question #retrieval
Relevance Feedback for Content-Based Image Retrieval: What Can Three Mouse Clicks Achieve? (DH, SMR), pp. 363–376.
SIGIRSIGIR-2003-KampsMRS #question #retrieval #xml
XML retrieval: what to retrieve? (JK, MM, MdR, BS), pp. 409–410.
SIGIRSIGIR-2003-SakaiK #performance #question #retrieval
Evaluating retrieval performance for Japanese question answering: what are best passages? (TS, TK), pp. 429–430.
UMLUML-2003-Fowler #question #uml
What Is the Point of the UML? (MF), p. 325.
ASEASE-2003-MemonBN #effectiveness #question #testing #user interface
What Test Oracle Should I Use for Effective GUI Testing? (AMM, IB, AN), pp. 164–173.
ICSEICSE-2003-Szyperski #component #how #question
Component Technology — What, Where, and How? (CAS), pp. 684–693.
ESOPESOP-2003-Meadows #analysis #encryption #evolution #protocol #requirements #specification
What Makes a Cryptographic Protocol Secure? The Evolution of Requirements Specification in Formal Cryptographic Protocol Analysis (CM), pp. 10–21.
TACASTACAS-2003-Lee #case study #experience
What Are We Trying to Prove? Reflections on Experiences with Proof-Carrying Code (PL0), p. 1.
JCDLJCDL-2002-AllenBCC #case study #collaboration #experience #library
You mean I have to do what with whom: statewide museum/library DIGI collaborative digitization projects — the experiences of California, Colorado & North Carolina (NA, LB, RLC, KC), p. 359.
PODSPODS-2002-ChuHG #optimisation #query #question
Least Expected Cost Query Optimization: What Can We Expect? (FCC, JYH, JG), pp. 293–302.
ITiCSEITiCSE-2002-CarboneS #education #learning #question #student
A studio-based teaching and learning model in IT: what do first year students think? (AC, JS), pp. 213–217.
CSCWCSCW-2002-HandelH #chat #question
What is chat doing in the workplace? (MH, JDH), pp. 1–10.
ICPRICPR-v2-2002-KakD #question
Robotic Vision: What Happened to the Visions of Yesterday? (ACK, GND), pp. 839–847.
KDDKDD-2002-UgurelKG #automation #classification #source code
What’s the code?: automatic classification of source code archives (SU, RK, CLG), pp. 639–644.
RERE-2002-Kovitz #ambiguity
Ambiguity and What to Do about It (BK), p. 213.
ASEASE-2002-OwenMC #finite #modelling #question
What Makes Finite-State Models More (or Less) Testable? (DO, TM, BC), pp. 237–240.
LDTALDTA-2002-Consel #domain-specific language #how #why
Domain-Specific Languages: What, Why, How (CC), p. 1.
DACDAC-2002-BrodersenHKKLK #design #question
Nanometer design: what hurts next...? (RWB, AMH, JK, DK, MAL, MK), p. 242.
DACDAC-2002-RabaeyKBCSLH #question
What’s the next EDA driver? (JMR, JK, DB, RC, DS, LL, RH), p. 652.
DATEDATE-2002-LewisBLWGT #configuration management #question
Reconfigurable SoC — What Will it Look Like? (JBL, IB, RL, CW, BG, YT), pp. 660–662.
TPDLECDL-2001-FreestonH #development #question
What’s Holding Up the Development of Georeferenced DLs? (MF, LLH), p. 458.
PASTEPASTE-2001-Webber #invariant #question
What is a class invariant? (ABW), pp. 86–89.
CHICHI-2001-FoggMLOVFPRSST #scalability #web
What makes Web sites credible?: a report on a large quantitative study (BJF, JM, OL, AO, CV, NF, JP, AR, JS, PS, MT), pp. 61–68.
CIKMCIKM-2001-Rosenthal #documentation #question #security
What Can Researches Do to Improve Security of Data and Documents? (AR), p. 593.
KDDKDD-2001-PadmanabhanZK #personalisation #semistructured data
Personalization from incomplete data: what you don’t know can hurt (BP, Z(Z, SOK), pp. 154–163.
SEKESEKE-2001-Vegas #question #testing
What Information is Relevant when Selecting Testing Techniques? (SV), pp. 45–52.
TOOLSTOOLS-USA-2001-Thompson #named #question
SOAP: What Is It and What Is It Good For? (PT), p. 364.
POPLPOPL-2001-BhargavanCMG #automaton #monitoring #network
What packets may come: automata for network monitoring (KB, SC, PJM, CAG), pp. 206–219.
SASSAS-2001-Schneider #security #why
Language-Based Security: What’s Needed and Why (FBS), p. 374.
RERE-2001-Gonzales #question
Systems or Software: What Should the “S” in SRE Stand for? (RG), p. 281.
RERE-2001-Greenspan #question #requirements
Extreme RE: What If There Is No Time for Requirements Engineering? (SJG), pp. 282–285.
RERE-2001-Hooks #requirements
What Happens With Good Requirements Practices (IH), p. 268.
RERE-2001-WesselsD #question #requirements
What Happens before Requirements Engineering? (BW, JED), pp. 298–299.
ICSEICSE-2001-ModesittBW #overview #re-engineering #source code
Academic Software Engineering: What Is and What Could Be? Results of the First Annual Survey for International SE Programs (KLM, DJB, LHW), pp. 643–652.
DATEDATE-2001-YeungHMMZ #integration #question #standard
Standard bus vs. bus wrapper: what is the best solution for future SoC integration? (CY, AH, GM, JM, JZ), pp. 776–777.
PDPPDP-2001-Appelt #analysis
What Groupware Functionality Do Users Really Use? Analysis of the Usage of the BSCW System (WA), p. 337–?.
ESOPESOP-2001-AmtoftKP #question
What Are Polymorphically-Typed Ambients? (TA, AJK, SMPG), pp. 206–220.
CBSECBSE-2000-Hall #case study #component #education #question
Educational Case Study–What is the Model of an Ideal Component? Must it be an Object? (PH), p. 8.
HTHT-2000-Larsen #flexibility #hypermedia
Providing flexibility within hypertext systems: what we’ve learned at HT workshops, CyberMountain, and elsewhere (DL), pp. 268–269.
VLDBVLDB-2000-HinneburgAK #nearest neighbour #question
What Is the Nearest Neighbor in High Dimensional Spaces? (AH, CCA, DAK), pp. 506–515.
VLDBVLDB-2000-ManegoldBK #cpu #memory management #optimisation
What Happens During a Join? Dissecting CPU and Memory Optimization Effects (SM, PAB, MLK), pp. 339–350.
ITiCSEITiCSE-2000-Carter #student
What the students said about plagiarsim (JC), p. 186.
CSMRCSMR-2000-JohnstoneSW #assembly #challenge #compilation #control flow
What Assembly Language Programmers Get Up To: Control Flow Challenges in Reverse Compilation (AJ, ES, TW), pp. 83–92.
ICSMEICSM-2000-Chapin00a #maintenance #question
Do We Know What Preventive Maintenance Is? (NC), pp. 15–17.
ICSMEICSM-2000-Kajko-Mattsson #exclamation #maintenance #question
Preventive Maintenance! Do We Know What It Is? (MKM), pp. 12–14.
ICSMEICSM-2000-Vehvilainen #maintenance #question
What Is Preventive Software Maintenance? (RV), p. 18–?.
CHICHI-2000-LeeKM #design #internet
What makes Internet users visit cyber stores again? key design factors for customer loyalty (JL, JK, JYM), pp. 305–312.
CHICHI-2000-WhittakerDHM #interface #named
Jotmail: a voicemail interface that enables you to see what was said (SW, RD, JH, UM), pp. 89–96.
ICEISICEIS-2000-MooreICMS #adaptation #workflow
Who Does What? Matching Agents to Tasks in Adaptive Workflow (JPM, RI, PWHC, AM, JS), pp. 181–185.
TOOLSTOOLS-EUROPE-2000-Reenskaug #collaboration #how #uml #why
The What, Why and How of the UML Collaboration (TR), p. 476.
PEPMPEPM-2000-LiuS #optimisation #question #recursion
From Recursion to Iteration: What are the Optimizations? (YAL, SDS), pp. 73–82.
REICRE-2000-AntonA #certification #requirements
What Do You Mean I’ve Been Practicing without a License? Certification and Licensing of Requirements Engineering Professionals (AIA, JMA), p. 151.
REICRE-2000-Gause #question #requirements
Requirements Engineering: What Have We Accomplished? Where Are We Now? Where Are We Going? (DCG), pp. 195–196.
REICRE-2000-Mead00a #certification #requirements
What Do You Mean I’m Practicing without a License? Certification and Licensing of Requirements Engineering Professionals (NRM), p. 152.
FASEFASE-2000-Kondoh #question #re-engineering
What is “Mathematicalness” in Software Engineering? (HK), pp. 163–177.
HTHT-1999-NurnbergA #hypermedia #research #web
What Was the Question? Reconciling Open Hypermedia and World Wide Web Research (PJN, HA), pp. 83–90.
SIGMODSIGMOD-1999-CareyCNVDRSM #question
O-O, What’s Happening to DB2? (MJC, DDC, SN, BV, DD, SR, RS, NMM), pp. 511–512.
VLDBVLDB-1999-CareyCNVDRSM #question
O-O, What Have They Done to DB2? (MJC, DDC, SN, BV, DD, SR, RS, NMM), pp. 542–553.
VLDBVLDB-1999-DeRose #question #xml
What Do Those Weird XML Types Want, Anyway? (SJD), pp. 721–724.
VLDBVLDB-1999-JagadishLS #question
What can Hierarchies do for Data Warehouses? (HVJ, LVSL, DS), pp. 530–541.
CSEETCSEET-1999-McMillanR #re-engineering #student
What Leading Practitioners Say Should be Emphasized in Students’ Software Engineering Projects (WWM, SR), pp. 177–185.
ITiCSEITiCSE-1999-Carter #collaboration #student
Collaboration or plagiarism: what happens when students work together (JC), pp. 52–55.
ITiCSEITiCSE-1999-CarterJ #gender #programming #question
Gender and programming: what’s going on? (JC, TJ), pp. 1–4.
HCIHCI-CCAD-1999-WhiteC #question #web
What are you looking at on the web: information or applications? (DW, YYC), pp. 76–79.
HCIHCI-EI-1999-Canamero #human-computer #question
What Emotions are Necessary for HCI? (DC), pp. 838–842.
HCIHCI-EI-1999-HansenS #question
200, 000, 000, 000 Call Records — Now What Do We Do? (RSH, RKS), pp. 1158–1161.
ICEISICEIS-1999-JarvisSMMC #adaptation #workflow
What Right Do You Have To Do That?-Infusing Adaptive Workflow Technology with Knowledfe about the Organisational and Autority Context of a Task (PJ, JS, AM, JPM, PWHC), pp. 240–247.
ICEISICEIS-1999-ReisM #network
What’s in a Node?-Nodes and Agents in Logistic Networks (JR, NJM), pp. 285–291.
CIKMCIKM-1999-Giles #question #web
Searching the Web: Can You Find What You Want? (CLG), pp. 1–2.
KDDKDD-1999-Sahar
Interestingness via What is Not Interesting (SS), pp. 332–336.
TOOLSTOOLS-EUROPE-1999-Henderson-SellersB #question
What is This Thing Called Aggregation? (BHS, FB), pp. 236–250.
PLDIPLDI-1999-CraryHP #question #recursion
What is a Recursive Module? (KC, RH, SP), pp. 50–63.
AdaSIGAda-1999-PautetT #distributed #question
What future for the distributed systems annex? (LP, ST), pp. 77–82.
DACDAC-1999-DeHonW #automation #configuration management #design #why
Reconfigurable Computing: What, Why, and Implications for Design Automation (AD, JW), pp. 610–615.
HPDCHPDC-1999-Weissman #fault tolerance #grid #question
Fault Tolerant Computing on the Grid: What are My Options? (JBW), pp. 351–352.
STOCSTOC-1999-CanettiO #question
Secure Computation with Honest-Looking Parties: What If Nobody Is Truly Honest? (RC, RO), pp. 255–264.
TPDLECDL-1998-Houstis #how #question #repository #scalability #towards
Federated Scientific Data Repositories for the Environment Towards Global Scalable Management of Environmental Information: How Useful Will They Be? What Is Their Potential Impact? Shall We Save the Environment? (CEH), pp. 741–742.
SIGMODSIGMOD-1998-LacroixSC #exclamation #web
User-oriented smart-cache for the Web: What You Seek is What You Get! (ZL, AS, RC), pp. 572–574.
VLDBVLDB-1998-BlottKS #communication #how #question
Information, Communication, and Money: For What Can We Charge and How Can We Meter It? (SB, HFK, AS), p. 697.
CSEETCSEET-1998-CarterBCR #industrial
What Industry Wants in Its New Hires (DC, MFB, RC, GR), pp. 126–127.
CHICHI-1998-WalkerFFMH #email #interface
What can I say? Evaluating a Spoken Language Interface to Email (MAW, JF, GDF, CM, DH), pp. 582–589.
ICPRICPR-1998-Gimelfarb #interactive #modelling #question #segmentation
Supervised segmentation by pairwise interactions: do Gibbs models learn what we expect? (GLG), pp. 817–819.
KRKR-1998-Levesque98a
What Robots Can Do (HJL), p. 651.
OOPSLAOOPSLA-1998-DrossopoulouWE #java #question
What is Java Binary Compatibility? (SD, DW, SE), pp. 341–361.
ICSEICSE-1998-RothermelLDB #source code #testing #visual notation
What You See Is What You Test: A Methodology for Testing Form-Based Visual Programs (GR, LL, CD, MMB), pp. 198–207.
DACDAC-1998-Dill #question #simulation #verification
What’s Between Simulation and Formal Verification? (DLD), pp. 328–329.
FASEFASE-1998-Jones
Some Mistakes I Have and What I Have Learned from Them (CBJ), pp. 7–20.
ISSTAISSTA-1998-Hamlet #question #testing
What Can We Learn by Testing a Program? (RGH), pp. 50–52.
HTHT-1997-Chuat #hypermedia #using
Using Hypertext for Textual Genetics, or, What is Suitable in a Hypertext System for an Information Gardening Application (CC), pp. 230–231.
HTHT-1997-Golovchinsky #hypermedia #information retrieval #integration #query
What the Query Told the Link: The Integration of Hypertext and Information Retrieval (GG), pp. 67–74.
HTHT-1997-LaddCS #question #web
The World Wide Web: What Cost Simplicity? (BCL, MVC, PDS), pp. 210–211.
ITiCSEITiCSE-1997-Moser #game studies #learning #why
A fantasy adventure game as a learning environment: why learning to program is so difficult and what can be done about it (RM), pp. 114–116.
ITiCSEITiCSE-WGR-1997-LawheadABCCDDFS #distance #learning #web
The Web and distance learning: what is appropriate and what is not (report of the ITiCSE 1997 working group on the web and distance learning) (PBL, EA, CGB, LC, DC, JD, MD, ERF, KS), pp. 27–37.
HCIHCI-CC-1997-Blanchard #how #human-computer #interactive #question #standard
International Standards on Human-Computer Interaction: What is Out There and How Will it be Implemented? (HEB), pp. 599–602.
HCIHCI-CC-1997-SalimM #named #question
Groupware: What You See Is What You Need? (SSS, LAM), pp. 53–56.
HCIHCI-SEC-1997-BlanchonF
Asking Users About What They Mean: Two Experiments & Results (HB, LF), pp. 609–612.
EDOCEDOC-1997-Kindel #black box #encapsulation #interface #multi #named
COM: what makes it work, black-box encapsulation through multiple, immutable interfaces (CK), pp. 68–77.
RERE-1997-Hall #question #requirements #using
What’s the Use of Requirements Engineering? (AH), p. 2–?.
ESECESEC-FSE-1997-Maibaum #education #question
What We Teach Software Engineers in the University: Do We Take Engineering Seriously? (TSEM), pp. 40–50.
ESECESEC-FSE-1997-Uhl #industrial
What we Expect from Software Engineers in the Industry (JU), p. 51.
TAPSOFTTAPSOFT-1997-Sanella #question
What Does the Future Hold for Theoretical Computer Science? (DS), pp. 15–19.
VLDBVLDB-1996-GuptaM #problem
What is the Data Warehousing Problem? (Are Materialized Views the Answer?) (AG, ISM), p. 602.
ITiCSEITiCSE-1996-ProulxRF #education #how #question
Foundations of computer science: what are they and how do we teach them? (VKP, RR, HJF), pp. 42–48.
ICFPICFP-1996-LawallM #cost analysis #question #λ-calculus
Optimality and Inefficiency: What Isn’t a Cost Model of the λ Calculus? (JLL, HGM), pp. 92–101.
CSCWCSCW-1996-Bazzigaluppi #question
Groupware at Work: It’s Here Now, But Do We Know What It Is Yet? (GB), pp. 438–440.
KDDAKDDM-1996-MatheusPM
Selecting and reporting What Is Interesting (CJM, GPS, DM), pp. 495–515.
ICPRICPR-1996-FlorouM #3d #metric #question
What accuracy for 3D measurements with cameras? (GF, RM), pp. 354–358.
KRKR-1996-Fikes #named #ontology #question #research
Ontologies: What Are They, and Where’s The Research? (RF), pp. 652–653.
KRKR-1996-Mark #named #ontology #question #research
Ontologies: What Are They, and Where’s The Research? (WSM), pp. 654–655.
POPLPOPL-1996-Jim #question
What Are Principal Typings and What Are They Good For? (TJ), pp. 42–53.
DACDAC-1996-KantrowitzN #analysis #correctness #simulation #verification
I’m Done Simulating: Now What? Verification Coverage Analysis and Correctness Checking of the DECchip 21164 Alpha Microprocessor (MK, LMN), pp. 325–330.
CADECADE-1996-Scott #automation #deduction #question
What Can We Hope to Achieve From Automated Deduction? (DSS), p. 245.
TLCATLCA-1995-Bierman #category theory #linear #logic #question
What is a Categorical Model of Intuitionistic Linear Logic? (GMB), pp. 78–93.
CHICHI-1995-OlsonOM #design #question #realtime #video
What Mix of Video and Audio is Useful for Small Groups Doing Remote Real-Time Design Work? (JSO, GMO, DKM), pp. 362–368.
CHICHI-1995-RoeslerM #data access #online #taxonomy
What Help Do Users Need?: Taxonomies for On-Line Information Needs and Access Methods (AWR, SGM), pp. 437–441.
STOCSTOC-1995-DiaconisS #algorithm #question
What do we know about the Metropolis algorithm? (PD, LSC), pp. 112–129.
STOCSTOC-1995-HenzingerKPV #automaton #decidability #hybrid #question
What’s decidable about hybrid automata? (TAH, PWK, AP, PV), pp. 373–382.
CHICHI-1994-WhittakerFD94a #communication #how #question
Informal workplace communication: what is it like and how might we support it? (SW, DF, ODJ), pp. 131–137.
AdaTRI-Ada-1994-SitaramanFFFHMW #education #question
What Changes Are Needed For Undergraduate CS Curricula to Educate “Software Engineers”? (MS, MBF, GAF, WBF, JEH, DFM, BWW), p. 220.
ICSEICSE-1994-BrodmanJ #case study #experience
What Small Business and Small Organizations Say About the CMM: Experience Report (JGB, DLJ), pp. 331–340.
CADECADE-1994-Platek #proving #question
What is a Proof? (RP), p. 431.
SIGMODSIGMOD-1993-Egenhofer #database #navigation #requirements
What’s Special about Spatial? Database Requirements for Vehicle Navigation in Geographic Space (MJE), pp. 398–402.
ICSMECSM-1993-Caldiera #maintenance #standard
Standards for Software Maintenance — What We Have and What We Need (GC), p. 103.
ICALPICALP-1993-KannegantiC #higher-order #programming language #question
What is a Universal Higher-Order Programming Language? (RK, RC), pp. 682–695.
CHIINTERCHI-1993-HerbslebK #design
Preserving knowledge in design projects: what designers need to know (JDH, EK), pp. 7–14.
AdaTRI-Ada-1993-Brett #ada #compilation #implementation
Smart Recompilation: What Is It?, Its Benefits for the User, and Its Implementation in the DEC Ada Compilation System (BRB), pp. 277–287.
RERE-1993-KuwanaH #empirical #representation #requirements
Representing knowledge in requirements engineering: an empirical study of what software engineers need to know (EK, JDH), pp. 273–276.
STOCSTOC-1993-NaorS #question
What can be computed locally? (MN, LJS), pp. 184–193.
SIGMODSIGMOD-1992-Rosenthal
What Can We Do to Strengthen the Connection Between Theory and System Builders (AR), p. 101.
ICALPICALP-1992-HenzingerMP #question
What Good Are Digital Clocks? (TAH, ZM, AP), pp. 545–558.
KRKR-1992-Reiter #reasoning #research
Twelve Years of Nonmonotonic Reasoning Research: Where (and What) Is the Beef (RR), p. 789.
OOPSLAOOPSLA-1992-LiuGG #learning #object-oriented #question
What Contributes to Successful Object-Oriented Learning? (CL, SG, BG), pp. 77–86.
TOOLSTOOLS-USA-1992-Odberg #database #object-oriented #query
What “What” is and isn’t: On Query Languages for Object-Oriented Databases, or: Closing the Gap — Again (EO), pp. 13–24.
AdaTRI-Ada-C-1992-Beidler #component #education #tool support
Building on the Booch Components: What Can Be Learned When Modifying Real World Software Tools for Educational Use (JB), pp. 157–164.
HTHT-1991-ThuringHH #how
What’s Eliza Doing in the Chinese Room? Incoherent Hyperdocuments — and How to Avoid Them (MT, JMH, JH), pp. 161–177.
CSEETSEI-1991-RiedlWFKM #re-engineering
What We Have Learned About Software Engineering Expertise (TRR, JSW, JTF, GAK, JDM), pp. 261–270.
FPCAFPCA-1991-FrandsenS #implementation #performance #question #λ-calculus
What is an Efficient Implementation of the λ-calculus? (GSF, CS), pp. 289–312.
ECOOPECOOP-1991-PalsbergS #question #reuse #type safety
What is Type-Safe Code Reuse? (JP, MIS), pp. 325–341.
ASEKBSE-1991-Sasso91a #question
Encouraging the Adoption of KBSE Technology: What Needs to Happen First? (WCS), pp. 237–238.
CHICHI-1990-CushmanOD #performance #question #requirements
Usable OCR: what are the minimum performance requirements? (WHC, PSO, CMD), pp. 145–152.
CHICHI-1990-Jacob #eye tracking #interactive
What you look at is what you get: eye movement-based interaction techniques (RJKJ), pp. 11–18.
CHICHI-1990-Winograd #education #human-computer #interactive
What can we teach about human-computer interaction? (plenary address) (TW), pp. 443–448.
CSCWCSCW-1990-MaloneC #coordination #design #how #question
What is Coordination Theory and How Can It Help Design Cooperative Work Systems? (TWM, KC), pp. 357–370.
SEKESEKE-1990-VolovikMT #re-engineering
What Software Engineering Can Learn From Practitioners (DV, RM, WTT), pp. 216–221.
OOPSLAOOPSLA-ECOOP-1990-BockerH
What Tracers Are Made Of (HDB, JH), pp. 89–99.
ICLPCLP-1990-Reiter90 #database #question
What Should a Database Know? (RR), p. 765.
HTHT-1989-HalaszMMPS #named
Confessions — What’s Wrong with Our Systems (FGH, DLM, NKM, AP, BS), p. 399.
HTHT-1989-Lesk
What To Do When There’s Too Much Information (ML), pp. 305–318.
CHICHI-1989-BlackBMC #effectiveness #learning #online #question
On-line tutorials: What kind of inference leads to the most effective learning? (JBB, JSB, MM, JMC), pp. 81–83.
CHICHI-1989-Moran #question
What is EuroParc? (TPM), pp. 51–52.
KRKR-1989-Lehmann #knowledge base #question
What Does a Conditional Knowledge Base Entail? (DJL), pp. 212–222.
KRKR-1989-Poole #reasoning
What the Lottery Paradox Tells Us About Default Reasoning (DP), pp. 333–340.
ICMLML-1989-RuffD #question
What Good Are Experiments? (RAR, TGD), pp. 109–112.
ICMLML-1989-VanLehn #problem
Discovering Problem Solving Strategies: What Humans Do and Machines Don’t (Yet) (KV), pp. 215–217.
ICSEICSE-1989-Boehm #generative #process
What We Really Need Are Process Model Generators (BWB), p. 397.
PODSPODS-1988-Reiter #database #question
What Should A Database Know? (RR), pp. 302–304.
CSEETSEI-1988-Werth #how #tool support #why
Software Tools at the University: Why, What and How (LHW), pp. 169–186.
ECOOPECOOP-1988-MadsenM #object-oriented #programming
What Object-Oriented Programming May Be — and What It Does Not Have To Be (OLM, BMP), pp. 1–20.
ECOOPECOOP-1988-WegnerZ #incremental #inheritance
Inheritance as an Incremental Modification Mechanism or What Like Is and Isn’t Like (PW, SBZ), pp. 55–77.
HCIHCI-CE-1987-Salvendy #development #human-computer #interactive #research
What We Know and What We Should Know About Human-Computer Interaction: Strategies for Research and Development (GS), pp. 13–19.
HCIHCI-CE-1987-Soloway #specification
I Can’t Tell What in the Code Implements What in the Specs (ES), pp. 317–328.
ECOOPECOOP-1987-Stroustrup #object-oriented #programming
What is “Object-Oriented Programming?” (BS), pp. 51–70.
CADECADE-1986-Eisinger #graph
What You Always Wanted to Know About Clause Graph Resolution (NE), pp. 316–336.
POPLPOPL-1985-Lamport #concurrent #specification #why
What It Means for a Concurrent Program to Satisfy a Specification: Why No One Has Specified Priority (LL), pp. 78–83.
DACDAC-1985-KowalskiT #automation #design #knowledge base
The VLSI design automation assistant: what’s in a knowledge base (TJK, DET), pp. 252–258.
POPLPOPL-1984-HalpernMT #question #semantics
The Semantics of Local Storage, or What Makes the Free-List Free? (JYH, ARM, BAT), pp. 245–257.
ICSEICSE-1984-MaibaumT #on the
On What Exactly Is Going On When Software Is Developed Step-by-Step (TSEM, WMT), pp. 528–533.
DACDAC-1984-Smith #layout #tool support
Basic turorial layout tools — what really is there (RS), p. 219.
SIGIRSIGIR-1982-Henrichs #information retrieval #question
The Growing Crisis of Traditional Information Retrieval Systems — What is to Follow? (NH), pp. 1–12.
ICLPILPC-1982-Kurokawa82 #logic programming #re-engineering
Logic Programming — What Does it Bring to the Software Engineering (TK), pp. 134–138.
DACDAC-1981-Burdick #design #formal method #process
What to do when the seat of your pants wears out — the formalization of the VLSI design process (EB), pp. 708–709.
VLDBVLDB-1980-BernsteinG #normalisation #question
What does Boyce-Codd Normal Form Do? (PAB, NG), pp. 245–259.
DACDAC-1980-Armstrong
A CAD user’s perspective what gets done right wrong and not at all (RAA), p. 517.
VLDBVLDB-1978-BrodieS #data type #question
What is the Use of Abstract Data Types? (MLB, JWS), pp. 140–141.
VLDBVLDB-1978-Johnson #question
What End-User Facilities do we Need? (FEJ), p. 126.
VLDBVLDB-1978-Sharman #metamodelling #question #semantics
What is a “Good” Semantic or Meta Model? (GS), p. 138.

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