BibSLEIGH — what tag

what

what

Tag #what

753 papers:

POPL-2020-MigeedP #decidability #question: What is decidable about gradual types? (ZM, JP), p. 29.
ECSA-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.
EDM-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).
EDM-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).
EDM-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).
ICPC-2019-Weimer #question: What goes on in your brain when you read and understand code? (WW), p. 1.
ICSME-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.
ICSME-2019-JinCX #api #developer #question: What Do Developers Discuss about Biometric APIs? (ZJ, KYC, XX0), pp. 348–352.
MSR-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.
MSR-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.
MSR-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.
SANER-2019-Whittle: Does your software value what you value? (Keynote) (JW), p. 2.
Haskell-2019-SchrijversPWJ #algebra #composition #monad: Monad transformers and modular algebraic effects: what binds them together (TS, MP, NW, MJ), pp. 98–113.
CoG-2019-AshlockS19a #automation #generative #representation: Automatic Generation of Level Maps with the Do What's Possible Representation (DA, CS), pp. 1–8.
FDG-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.
VS-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.
CIKM-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.
CIKM-2019-SunQYCCC #question: What Can History Tell Us? (KS, TQ, HY, TC, YC, LC0), pp. 1593–1602.
CIKM-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.
ICML-2019-ByrdL #learning #question: What is the Effect of Importance Weighting in Deep Learning? (JB, ZCL), pp. 872–881.
ICML-2019-JangLHS #learning: Learning What and Where to Transfer (YJ, HL, SJH, JS), pp. 3030–3039.
KDD-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.
Onward-2019-Smaragdakis #programming language #question: Next-paradigm programming languages: what will they look like and what changes will they bring? (YS), pp. 187–197.
PLATEAU-2019-HaoG #programming #question: Approaching Polyglot Programming: What Can We Learn from Bilingualism Studies? (RLH, ELG), p. 7.
ASE-2019-ZhouSZ #named: Lancer: Your Code Tell Me What You Need (SZ, BS, HZ), pp. 1202–1205.
ESEC-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-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.
CASE-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.
CAV-2019-Siegel #on the fly #partial order #reduction: What's Wrong with On-the-Fly Partial Order Reduction (SFS), pp. 478–495.
ICST-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.
EDM-2018-CruesBAPBS #comprehension: Who they are and what they want: Understanding the reasons for MOOC enrollment (RWC, NB, CJA, MP, SB, NS).
EDM-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).
ICPC-2018-0001LYC #comprehension #mobile: What's inside my app?: understanding feature redundancy in mobile apps (YG0, YL, ZY, XC), pp. 266–276.
ICPC-2018-TymchukGN #developer #feedback #jit #static analysis: JIT feedback: what experienced developers like about static analysis (YT, MG, ON), pp. 64–73.
ICPC-2018-VivianiJFXM #design #developer #question #topic: What design topics do developers discuss? (GV, CJJ, MF, XX0, GCM), pp. 328–331.
MSR-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.
MSR-2018-CalciatiKBG #question: What did really change with the new release of the app? (PC, KK, XB, AG), pp. 142–152.
MSR-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.
FDG-2018-KosaS #analysis #game studies: What tabletop players think about augmented tabletop games: a content analysis (MK, PS), p. 8.
CIKM-2018-WuQLJ #named: PARL: Let Strangers Speak Out What You Like (LW, CQ, CL, DJ), pp. 677–686.
ICPR-2018-AbateNBM #question #smarttech: What are you doing while answering your smartphone? (AFA, MN, SB, MDM), pp. 3120–3125.
ICPR-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.
KDD-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.
OOPSLA-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.
POPL-2018-ChenCHLW #constraints #decidability #string: What is decidable about string constraints with the ReplaceAll function (TC, YC, MH, AWL, ZW), p. 29.
ESEC-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-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.
CAV-2018-AkshayCGKS #functional #question #synthesis: What's Hard About Boolean Functional Synthesis? (SA, SC, SG, SK, SS), pp. 251–269.
ICSA-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.
JCDL-2017-PoursardarS: What Is Part of That Resource? User Expectations for Personal Archiving (FP, FS), pp. 229–232.
CSEET-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.
ICPC-2017-AjamiWF #complexity #question #syntax: Syntax, predicates, idioms: what really affects code complexity? (SA, YW, DGF), pp. 66–76.
ICSME-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.
ICSME-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.
SANER-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.
SANER-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-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.
FDG-2017-Schrier #game studies #problem: What's in a name?: naming games that solve real-world problems (KS), p. 4.
FDG-2017-Smith #generative #question: What do we value in procedural content generation? (GS), p. 2.
FDG-2017-Whitehead #design #question: Art and science of engineered design: what kind of discipline is PCG? (JW), p. 3.
ECIR-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.
ICML-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.
KDD-2017-Dwork #question: What's Fair? (CD), p. 1.
KDD-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.
KDD-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.
ECOOP-2017-HuangR #concurrent #detection #performance #perspective #precise: What's the Optimal Performance of Precise Dynamic Race Detection? - A Redundancy Perspective (JH, AKR), p. 22.
OOPSLA-2017-WuC #fault #how #question #student: How type errors were fixed and what students did? (BW, SC0), p. 27.
ESEC-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.
ASPLOS-2017-DelimitrouK #in the cloud #named: Bolt: I Know What You Did Last Summer... In The Cloud (CD, CK), pp. 599–613.
ASPLOS-2017-NguyenP #memory management #scalability #source code #transaction: What Scalable Programs Need from Transactional Memory (DN, KP), pp. 105–118.
ECSA-2016-AngelovMG #agile #architecture #challenge #question: Architects in Scrum: What Challenges Do They Face? (SA, MM, MG), pp. 229–237.
JCDL-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.
CSEET-2016-Bass #education #question #re-engineering: Software Engineering Education in the New World: What Needs to Change? (MB), pp. 213–221.
EDM-2016-BaikadiELS #analysis: Redefining “What” in Analyses of Who Does What in MOOCs (AB, CDE, YL, CS), pp. 569–570.
EDM-2016-StanhopeR16a #education: Educational Technology: What 49 Schools Discovered about Usage when the Data were Uncovered (DS, KR), pp. 644–645.
ICSME-2016-AbdouSBN #fault #question: What is the Cause for a Defect to be Re-Assigned? (TA, BS, AB, AN), pp. 502–508.
SANER-2016-NayebiAR #developer #mobile #question: Release Practices for Mobile Apps - What do Users and Developers Think? (MN, BA, GR), pp. 552–562.
CHI-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-PLAY-2016-Yee #motivation: The Gamer Motivation Profile: What We Learned From 250, 000 Gamers (NY), p. 2.
DiGRA-FDG-2016-BergstromCJ #game studies #multi #online #question: Digital Detritus: What Can We Learn From Abandoned Massively Multiplayer Online Game Avatars? (KB, SdC, JJ).
DiGRA-FDG-2016-Jonne #challenge: What Does it Mean to be Orlanthi? Hermeneutic Challenge in King of Dragon Pass (JA).
ECIR-2016-FlaesRW #analysis #multi #sentiment: What Multimedia Sentiment Analysis Says About City Liveability (JBF, SR, MW), pp. 824–829.
ECIR-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.
ICPR-2016-Ohn-BarT16b #question: What makes an on-road object important? (EOB, MMT), pp. 3392–3397.
ICPR-2016-UchidaS #question: What does scene text tell us? (SU, YS), pp. 4047–4052.
PLATEAU-2016-Ko #programming language #question: What is a programming language, really? (AJK0), pp. 32–33.
PLATEAU-2016-Salvaneschi #data flow #question: What do we really know about data flow languages? (GS), pp. 30–31.
ASE-2016-ChristakisB #developer #empirical #program analysis: What developers want and need from program analysis: an empirical study (MC, CB), pp. 332–343.
ASE-2016-Visser: What makes killing a mutant hard (WV), pp. 39–44.
FSE-2016-Burnett: “Womenomics” and gender-inclusive software: what software engineers need to know (invited talk) (MMB), p. 1.
FSE-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.
ICST-2016-Gao #interactive #question #testing: Making System User Interactive Tests Repeatable: When and What Should we Control? (ZG), pp. 379–380.
TAP-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.
DocEng-2015-AtenciaDG #linked data #open data #question: What Is This Thing Called Linked Data? (MA, JD, PG), pp. 233–234.
DocEng-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.
JCDL-2015-BarthelTKSB #twitter: What does Twitter Measure?: Influence of Diverse User Groups in Altmetrics (SB, ST, BK, PS, WTB), pp. 119–128.
SIGMOD-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.
EDM-2015-JiangZLL #analysis #network #question: Influence Analysis by Heterogeneous Network in MOOC Forums: What can We Discover? (ZJ, YZ, CL, XL), pp. 242–249.
ICPC-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.
ICSME-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.
ICSME-2015-SharmaTL #question #re-engineering #twitter: What’s hot in software engineering Twitter space? (AS, YT, DL), pp. 541–545.
ICSME-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.
MSR-2015-WangPWG #comprehension #git #using: What Is the Gist? Understanding the Use of Public Gists on GitHub (WW, GPC, EW, DMG), pp. 314–323.
SANER-2015-Mirakhorli #architecture #how #question #re-engineering #why: Software architecture reconstruction: Why? What? How? (MM), p. 595.
ICALP-v1-2015-BienvenuDS #question #source code: What Percentage of Programs Halt? (LB, DD, AS), pp. 219–230.
CHI-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.
FDG-2015-CookESSTTZ #game studies #question: AI-based Games: Contrabot and What Did You Do? (MC0, ME, AMS, GS, TT, JT, AZ).
FDG-2015-KnauerM #artificial reality #game studies #question: Augmented Reality Games: What Do We Know and Where Should We Go? (MK, JM).
FDG-2015-Lu #case study #game studies #video: What kind of stories do children like in an active video game (AVG)? An exploratory study (AL).
CHI-2015-AbbarMW #twitter: You Tweet What You Eat: Studying Food Consumption Through Twitter (SA, YM, IW), pp. 3197–3206.
CHI-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.
CHI-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.
CHI-2015-CramerJ #communication #question #why: Couples’ Communication Channels: What, When & Why? (HC, MLJ), pp. 709–712.
CHI-2015-GanglbauerFG #why: Why and what did we throw out?: Probing on Reflection through the Food Waste Diary (EG, GF, FG), pp. 1105–1114.
CHI-2015-GruningBO #question: Medium, Access, and Obsolescence: What Kinds of Objects are Lasting Objects? (JG, JB, MO), pp. 3433–3442.
CHI-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.
CHI-2015-LapidesCCG #question: News Feed: What’s in it for Me? (PL, AC, MSTC, SG), pp. 163–172.
CHI-2015-PanS #human-computer #question: What if HCI Becomes a Fashion Driven Discipline? (YP, ES), pp. 2565–2568.
CHI-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.
CSCW-2015-Anya #design #exclamation #question: Bridge the Gap!: What Can Work Design in Crowdwork Learn from Work Design Theories? (OA), pp. 612–627.
CSCW-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.
CSCW-2015-OlteanuVC #social #social media: What to Expect When the Unexpected Happens: Social Media Communications Across Crises (AO, SV, CC), pp. 994–1009.
CSCW-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.
DUXU-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.
DUXU-IXD-2015-CookBGK #quote: “Keep What You’ve Earned”: Encouraging Sailors to Drink Responsibly (KC, EB, CG, TK), pp. 575–586.
DUXU-IXD-2015-LinC15a: What Travelers Want: An Investigation into User Needs and User Wants on Display (TSL, CNC), pp. 496–504.
DUXU-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.
HCI-DE-2015-BevanCH #question #usability: ISO 9241-11 Revised: What Have We Learnt About Usability Since 1998? (NB, JC, SH), pp. 143–151.
HCI-DE-2015-ChamunZMOS #approach #design #documentation: What About Document Folding? User Impressions and a Design Approach (RC, AdCAZ, IHM, JBSdO, MSS), pp. 307–319.
HCI-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.
HCI-UC-2015-ClarkeBK #experience #question #using: What Learnability Issues Do Primary Care Physicians Experience When Using CPOE? (MAC, JLB, MSK), pp. 373–383.
HIMI-IKC-2015-AhangamaP15a #empirical: What Methodological Attributes Are Essential for Novice Users to Analytics? — An Empirical Study (SA, DCCP), pp. 77–88.
HIMI-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.
HIMI-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.
HIMI-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.
LCT-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.
ICEIS-v1-2015-AlmeidaHC #multi #question: What if Multiusers Wish to Reconcile Their Data? (DSdA, CSH, CDdAC), pp. 184–195.
ICEIS-v2-2015-DutraPC #development #performance #question: What Are the Main Characteristics of High Performance Teams for Software Development? (ACSD, RP, TC), pp. 145–152.
CIKM-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.
CIKM-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.
CIKM-2015-VolskeBHLS #query: What Users Ask a Search Engine: Analyzing One Billion Russian Question Queries (MV, PB, MH, GL, BS0), pp. 1571–1580.
KDD-2015-Koller #named #question: MOOCS: What Have We Learned? (DK), p. 3.
SIGIR-2015-Hawking #question: If SIGIR had an Academic Track, What Would Be In It? (DH), p. 1077.
AMT-2015-SalayZC #question #reuse: Transformation Reuse: What is the Intent? (RS, SZ, MC), pp. 7–15.
PLEASE-2015-ChitchyanNG #product line #re-engineering: What Can Software Engineering Do for Sustainability: Case of Software Product Lines (RC, JN, IG), pp. 11–14.
SPLC-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.
POPL-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.
ASE-2015-GuK #question: What Parts of Your Apps are Loved by Users? (XG, SK), pp. 760–770.
ESEC-FSE-2015-GuJSZL #concurrent #thread: What change history tells us about thread synchronization (RG, GJ, LS, LZ, SL), pp. 426–438.
ICSE-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.
ICSE-v1-2015-LiKZ #question: What Makes a Great Software Engineer? (PLL, AJK, JZ), pp. 700–710.
ICSE-v2-2015-PetersM #re-engineering: Educating Software Engineering Managers — Revisited What Software Project Managers Need to Know Today (LP, AMM), pp. 353–359.
DAC-2015-WolfF #architecture #continuation #question: What don’t we know about CPS architectures? (MW, EF), p. 4.
FASE-2015-CzechJW #exclamation #verification: Just Test What You Cannot Verify! (MC, MCJ, HW), pp. 100–114.
CSL-2015-Klein0 #game studies #lookahead: What are Strategies in Delay Games? Borel Determinacy for Games with Lookahead (FK, MZ), pp. 519–533.
WICSA-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.
DocEng-2014-FranzeMW: What academics want when reading digitally (JF, KM, MW), pp. 199–202.
DocEng-2014-HailpernVD #how #named: Pagination: it’s what you say, not how long it takes to say it (JMH, NDV, MD), pp. 147–156.
JCDL-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.
JCDL-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.
JCDL-2014-KoopmanW #detection #similarity: Where should I publish? Detecting journal similarity based on what have been published there (RK, SW), pp. 483–484.
PODS-2014-Libkin #how #semistructured data: Incomplete data: what went wrong, and how to fix it (LL), pp. 1–13.
VLDB-2014-MottinLVP #query: Exemplar Queries: Give me an Example of What You Need (DM, ML, YV, TP), pp. 365–376.
EDM-2014-WenYR #analysis #question #sentiment: Sentiment Analysis in MOOC Discussion Forums: What does it tell us? (MW, DY, CPR), pp. 130–137.
ITiCSE-2014-EricssonW #mining: Mining job ads to find what skills are sought after from an employers’ perspective on IT graduates (ME, AW), p. 354.
SIGITE-2014-Fulbright: What is the next big thing?: fulbright’s half-life theory (RF), pp. 93–94.
ICPC-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.
ICSME-2014-KononenkoZG #compilation #question: Compiling Clones: What Happens? (OK, CZ, MWG), pp. 481–485.
CHI-PLAY-2014-CrenshawN #game studies #online #video: What's in a name?: naming practices in online video games (NC, BAN), pp. 67–76.
DiGRA-2014-Huh #case study #game studies: What makes young children active game players; ethnographic case study (YJH).
DiGRA-2014-SchottMN #experience #game studies #using: Exploring the Cause of Game (Derived) Arousal: What biometric accounts of player experience revealed (GS, RM, LN).
FDG-2014-Rusch #design #experience #game studies #health: Games about mental health - Designing the experience of “What it's Like” (DCR).
CHI-2014-AhmaniemiKH #gesture #question: What is a device bend gesture really good for? (TTA, JK, MH), pp. 3503–3512.
CHI-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.
CHI-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.
CHI-2014-Gilbert #performance #social: What if we ask a different question?: social inferences create product ratings faster (EG), pp. 2759–2762.
CHI-2014-HsiehCMN #comprehension: You read what you value: understanding personal values and reading interests (GH, JC, JM, JN), pp. 983–986.
CHI-2014-MasseyTTW #file system #question: PIM and personality: what do our personal file systems say about us? (CM, ST, CT, SW), pp. 3695–3704.
CHI-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.
CHI-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.
CHI-2014-TewariC #game studies: What did spot hide?: a question-answering game for preschool children (AT, JC), pp. 1807–1816.
CSCW-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.
CSCW-2014-QuerciaOC #question: Aesthetic capital: what makes london look beautiful, quiet, and happy? (DQ, NKO, HC), pp. 945–955.
DUXU-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.
DUXU-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.
DUXU-ELAS-2014-DysonJ #interface #question: Examining the Interfaces to E-journal Articles: What Do Users Expect? (MCD, EMJ), pp. 164–172.
HCI-AIMT-2014-RouxelPAC #gesture: What You Draw Is What You Search: The Analog Gesture (BR, FP, JYA, GC), pp. 139–147.
HCI-AS-2014-KimC: The Gap between What a Service Provider Shows Off and What Users Really Watch (DK, JC), pp. 710–720.
HCI-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.
LCT-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.
SCSM-2014-SobierajK #communication: What Is Beautiful in Cyberspace? Communication with Attractive Avatars (SS, NCK), pp. 125–136.
SCSM-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.
CAiSE-2014-EpureHDB #flexibility #mining #process: What Shall I Do Next? — Intention Mining for Flexible Process Enactment (EVE, CH, RD, SB), pp. 473–487.
ICEIS-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.
CIKM-2014-Deolalikar14b #clustering #documentation: What is the Shape of a Cluster?: Structural Comparisons of Document Clusters (VD), pp. 1927–1930.
CIKM-2014-LiWH #twitter: What a Nasty Day: Exploring Mood-Weather Relationship from Twitter (JL, XW, EHH), pp. 1309–1318.
CIKM-2014-QuattroneNKT: Tell Me What You Want and I Will Tell Others Where You Have Been (AQ, EN, LK, ET), pp. 1783–1786.
ICPR-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.
KDD-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.
KEOD-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.
KMIS-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.
RecSys-2014-LiuWW: Tell me where to go and what to do next, but do not bother me (HL, GW, GW), pp. 375–376.
SIGIR-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.
MoDELS-2014-ReggioLR #overview #uml: Who Knows/Uses What of the UML: A Personal Opinion Survey (GR, ML, FR), pp. 149–165.
SPLC-2014-Hubaux #product line #research: What research in software product line engineering is not solving in configuration (AH), p. 19.
PLDI-2014-Palem #question: What exactly is inexact computation good for? (KVP), p. 1.
FSE-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.
SAC-2014-VasconcelosAG #code review #predict: What makes your opinion popular?: predicting the popularity of micro-reviews in foursquare (MAV, JMA, MAG), pp. 598–603.
PPoPP-2014-Rubin #compilation #question #research: Heterogeneous computing: what does it mean for compiler research? (NR), pp. 315–316.
ICTSS-2014-Deak #overview #testing: What Characterizes a Good Software Tester? — A Survey in Four Norwegian Companies (AD), pp. 161–172.
DRR-2013-Smith: History of the Tesseract OCR engine: what worked and what didn’t (RWS).
HT-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.
ICDAR-2013-Newell #identification #question: What Should We Be Comparing for Writer Identification? (AJN), pp. 418–422.
SIGMOD-2013-MullerKLM #named: WOW: what the world of (data) warehousing can learn from the World of Warcraft (RM, TK, GML, JM), pp. 961–964.
TPDL-2013-AlNoamanyAWN #internet: Who and What Links to the Internet Archive (YA, AA, MCW, MLN), pp. 346–357.
TPDL-2013-GoedeWMR: PoliticalMashup Ngramviewer — Tracking Who Said What and When in Parliament (BdG, JvW, MM, RR), pp. 446–449.
VLDB-2013-ChirkovaY #question: Big and Useful: What’s in the Data for Me? (RC, JY), pp. 1390–1391.
CSEET-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.
CSEET-2013-Vallino #question #re-engineering #student: What should students learn in their first (and often only) software engineering course? (JV), pp. 335–337.
CSMR-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.
MSR-2013-AllamanisS #stack overflow #topic #why: Why, when, and what: analyzing stack overflow questions by topic, type, and code (MA, CAS), pp. 53–56.
MSR-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.
MSR-2013-Murphy #development #question: What is software development productivity, anyway? (GCM), p. 1.
MSR-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.
WCRE-2013-LiXPZ #developer #how #question: What help do developers seek, when and how? (HL, ZX, XP, WZ), pp. 142–151.
Haskell-2013-WortmannD #haskell #question: Causality of optimized Haskell: what is burning our cycles? (PMW, DJD), pp. 141–152.
DiGRA-2013-Marquez: What Happens when a Cyberworld Ends? The case of There.com (IVM).
CHI-2013-BardzellB #design #question: What is “critical” about critical design? (JB, SB), pp. 3297–3306.
CHI-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.
CHI-2013-JacobsBSGPG: A conversation between trees: what data feels like in the forest (RJ, SB, MS, MG, DP, GG), pp. 129–138.
CHI-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.
CHI-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.
CHI-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.
CHI-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.
CSCW-2013-HarperLTBGSOW #question: What is a file? (RHRH, SEL, ET, RB, PG, GS, WO, EW), pp. 1125–1136.
CSCW-2013-HemphillOS #question #twitter: What’s congress doing on twitter? (LH, JO, MS), pp. 877–886.
CSCW-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.
CSCW-2013-PanLCL #process #social: To answer or not: what non-qa social activities can tell (YP, LL, CYC, QL), pp. 1253–1263.
DHM-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.
DUXU-PMT-2013-Matthiessen #design #education #experience #industrial #interactive: Interactive Design and the Human Experience: What Can Industrial Design Teach Us (NM), pp. 100–106.
HIMI-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.
HIMI-HSM-2013-MoodyW #mobile #security: Security, But at What Cost? — An Examination of Security Notifications within a Mobile Application (GM, DW), pp. 391–399.
OCSC-2013-SaY #motivation #people #social: What Motivates People Use Social Tagging (NS, XY), pp. 86–93.
ICEIS-J-2013-KahkonenMS #enterprise #integration #question: What Do We Know About ERP Integration? (TK, AM, KS), pp. 51–67.
ICEIS-v3-2013-BuchdidB #human-computer #word: HCI in Context — What the Words Reveal about It (SBB, MCCB), pp. 134–142.
CIKM-2013-KamathC #learning #predict: Spatio-temporal meme prediction: learning what hashtags will be popular where (KYK, JC), pp. 1341–1350.
CIKM-2013-MoffatTS #effectiveness #metric #modelling: Users versus models: what observation tells us about effectiveness metrics (AM, PT, FS), pp. 659–668.
KDD-2013-YuanCMSM #topic #twitter: Who, where, when and what: discover spatio-temporal topics for twitter users (QY, GC, ZM, AS, NMT), pp. 605–613.
KDIR-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.
RecSys-2013-BabasCT #personalisation #recommendation: You are what you consume: a bayesian method for personalized recommendations (KB, GC, ET), pp. 221–228.
RecSys-2013-PeraN #personalisation #recommendation: What to read next?: making personalized book recommendations for K-12 users (MSP, YKN), pp. 113–120.
SEKE-2013-BurnayJF #matter #problem #requirements #why: Context Factors: What they are and why they matter for Requirements Problems (CB, IJ, SF), pp. 30–35.
SIGIR-2013-McCreadieMO: News vertical search: when and what to display to users (RM, CM, IO), pp. 253–262.
SIGIR-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.
PLEASE-2013-ChimalakondaN #education #product line #question: What makes it hard to apply software product lines to educational technologies? (SC, KVN), pp. 17–20.
ECOOP-2013-TemperoYN #inheritance #java: What Programmers Do with Inheritance in Java (EDT, HYY, JN), pp. 577–601.
Onward-2013-RossoJ #analysis #concept #design #git: What’s wrong with git?: a conceptual design analysis (SPDR, DJ), pp. 37–52.
ER-BR-2013-Finkelstein #re-engineering: The Next 10 Years: the shape of software to come and what if means for software engineering (AF).
REFSQ-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.
ICSE-2013-PolikarpovaF0WM #question #specification: What good are strong specifications? (NP, CAF, YP, YW, BM), pp. 262–271.
DATE-2013-Vigouroux #design #question: What designs for coming supercomputers? (XV), p. 469.
SOSP-2013-ElphinstoneH #kernel #question: From L3 to seL4 what have we learnt in 20 years of L4 microkernels? (KE, GH), pp. 133–150.
CSL-2013-ChatterjeeCT #decidability #markov #process: What is Decidable about Partially Observable Markov Decision Processes with ω-Regular Objectives (KC, MC, MT), pp. 165–180.
PODS-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.
TPDL-2012-KhooH #library #modelling: What Would “Google” Do? Users’ Mental Models of a Digital Library Search Engine (MK, CH), pp. 1–12.
VLDB-2012-DasTADY #analysis #framework: Who Tags What? An Analysis Framework (MD, ST, SAY, GD, CY), pp. 1567–1578.
ITiCSE-2012-FidotenS #overview: What do computer scientists do?: a survey of CS and non-CS liberal arts faculty (HF, JS), pp. 279–284.
ITiCSE-2012-SharonK #student: Grade inflation, what students value, and the necessity of suffering (TS, PK), pp. 116–121.
SIGITE-2012-Saulsberry #question #student: Dwindling number of female students: what are we missing? (DS), pp. 221–226.
ICSM-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.
ICSM-2012-ZhangPXZ #developer #why: Cloning practices: Why developers clone and what can be changed (GZ, XP, ZX, WZ), pp. 285–294.
ICSM-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.
MSR-2012-BirdN #development #distributed #open source #scalability: Who? Where? What? Examining distributed development in two large open source projects (CB, NN), pp. 237–246.
MSR-2012-TianALLL #community #microblog #question #re-engineering: What does software engineering community microblog about? (YT, PA, INL, DL, EPL), pp. 247–250.
SCAM-2012-VinjuG #complexity #control flow #metric: What Does Control Flow Really Look Like? Eyeballing the Cyclomatic Complexity Metric (JJV, MWG), pp. 154–163.
WCRE-2012-CleveH #question: What Do Foreign Keys Actually Mean? (AC, JLH), pp. 299–307.
FM-2012-Wassyng #question: Who Are We, and What Are We Doing Here? (AW), pp. 7–9.
FDG-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.
CHI-2012-FitchettC #named #predict: AccessRank: predicting what users will do next (SF, AC), pp. 2239–2242.
CHI-2012-Gaver #design #question #research: What should we expect from research through design? (WWG), pp. 937–946.
CHI-2012-KripleanTMBK #web: Is this what you meant?: promoting listening on the web with reflect (TK, MT, JTM, AB, AK), pp. 1559–1568.
CHI-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.
CSCW-2012-Baba #question: Science, technology and society revisited: what is happening to anthropology and ethnography? (MLB), pp. 5–6.
CSCW-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.
CSCW-2012-Nagar #community #online #process: What do you think?: the structuring of an online community as a collective-sensemaking process (YN), pp. 393–402.
CSCW-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.
CIKM-2012-BiyaniCSM #exclamation #online #thread: I want what i need!: analyzing subjectivity of online forum threads (PB, CC, AS, PM), pp. 2495–2498.
CIKM-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.
CIKM-2012-MeccaPRS #data transformation #question: What is the IQ of your data transformation system? (GM, PP, SR, DS), pp. 872–881.
ICPR-2012-Gao: What entropy tells about man-made structures (JG), pp. 250–253.
RecSys-2012-Lamere #question: I’ve got 10 million songs in my pocket: now what? (PL), pp. 207–208.
SIGIR-2012-HongLYZZ #automation #novel: What reviews are satisfactory: novel features for automatic helpfulness voting (YH, JL, JMY, QZ, GZ), pp. 495–504.
SIGIR-2012-Sakai #evaluation #information retrieval #mobile #towards: Towards zero-click mobile IR evaluation: knowing what and knowing when (TS), pp. 1157–1158.
MoDELS-2012-ArandaDB #modelling #question: Transition to Model-Driven Engineering — What Is Revolutionary, What Remains the Same? (JA, DD, AB), pp. 692–708.
RE-2012-GrossD #exclamation #requirements #specification: What you need is what you get!: The vision of view-based requirements specifications (AG, JD), pp. 171–180.
RE-2012-MaglyasNS #question: What do practitioners mean when they talk about product management? (AM, UN, KS), pp. 261–266.
ASE-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.
ICSE-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.
ICSE-2012-BudgenDBH #education #question: What scope is there for adopting evidence-informed teaching in SE? (DB, SD, PB, NH), pp. 1205–1214.
ICSE-2012-Wolff #architecture #industrial #question: Software architecture — What does it mean in industry? (EW), p. 999.
ICSE-2012-ZhouM #community: What make long term contributors: Willingness and opportunity in OSS community (MZ, AM), pp. 518–528.
SAC-2012-Zaytsev #bnf: BNF was here: what have we done about the unnecessary diversity of notation for syntactic definitions (VZ), pp. 1910–1915.
CASE-2012-HoNNH #question: What can be inferred from a tactile arrayed sensor in autonomous in-hand manipulation? (VAH, TN, AN, SH), pp. 461–468.
DAC-2012-PalemA #exclamation: What to do about the end of Moore’s law, probably! (KVP, LA), pp. 924–929.
ESOP-2012-AtigBBM #decidability #memory management #modelling #question: What’s Decidable about Weak Memory Models? (MFA, AB, SB, MM), pp. 26–46.
ICST-2012-ChenLYS #question #testing #user interface: When a GUI Regression Test Failed, What Should be Blamed? (JC, ML, KY, BS), pp. 467–470.
ISSTA-2012-CoughlinCDS #source code: Measuring enforcement windows with symbolic trace interpretation: what well-behaved programs say (DC, BYEC, AD, JGS), pp. 276–286.
LICS-2012-Levin #internet: Turing’s Password: What Internet Cannot Leak (LAL), p. 11.
JCDL-2011-HallZ #comparison: What do you call it?: a comparison of library-created and user-created tags (CH, MAZ), pp. 53–56.
VLDB-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.
ITiCSE-2011-AmbrosioM #education #matter: What matters most when teaching CS1 (APA, SWM), p. 385.
ITiCSE-2011-Hu: Computational thinking: what it might mean and what we might do about it (CH), pp. 223–227.
SIGITE-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.
ICSM-2011-Kemmerer #how: How to steal a botnet and what can happen when you do (RAK), p. 1.
MSR-2011-BernardiSZDP #question #topic: What topics do Firefox and Chrome contributors discuss? (MLB, CS, QZ, DD, MDP), pp. 234–237.
MSR-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.
SCAM-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.
RTA-2011-Tison #automaton #constraints #question #similarity #term rewriting: Tree Automata, (Dis-)Equality Constraints and Term Rewriting: What’s New? (ST), pp. 1–2.
TLCA-2011-Tison #automaton #constraints #question #similarity #term rewriting: Tree Automata, (Dis-)Equality Constraints and Term Rewriting — What’s New? (ST), pp. 3–5.
DiGRA-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).
DiGRA-2011-Zabban #design #game studies #how #online: What Keeps Designers and Players Apart? Thinking How an Online Game World is Shared (VZ).
CHI-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.
CHI-2011-MaratheS #question: What drives customization?: control or identity? (SM, SSS), pp. 781–790.
CHI-2011-ZadehBKC #challenge #design: What’s in a move?: normal disruption and a design challenge (RZ, ADB, SBK, JNC), pp. 2897–2906.
CSCW-2011-BalakrishnanKCZ #integration #matter #research #why: Research team integration: what it is and why it matters (ADB, SBK, JNC, RZ), pp. 523–532.
CSCW-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.
CSCW-2011-MinamikawaY #estimation: Blog tells what kind of personality you have: egogram estimation from Japanese weblog (AM, HY), pp. 217–220.
DHM-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.
DUXU-v1-2011-BedekarK #research: What Sustainability Brings to the Research Table (NB, SLK), pp. 363–367.
DUXU-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.
DUXU-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.
HCI-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.
HCI-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.
HCI-UA-2011-EverardJM #learning #question #student: Are MIS Students Learning What They Need to Land a Job? (AE, BMJ, SM), pp. 235–236.
HCI-UA-2011-FangZ #game studies #question: Extraversion and Computer Game Play: Who Plays What Games? (XF, MZ), pp. 659–667.
HCI-UA-2011-Furukawa #design #injection #question: What Label Design of Ampule for Injection, Do You Want? (HF), pp. 159–166.
HIMI-v2-2011-ChellaliB #locality #question: What Maps and What Displays for Remote Situation Awareness and ROV Localization? (RC, KB), pp. 364–372.
HIMI-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.
OCSC-2011-AhmadL11a #question: Interpreting User-Generated Content: What Makes a Blog Believeable? (RA, WGL), pp. 81–89.
CAiSE-2011-MohanA #comprehension: What Methodology Attributes Are Critical for Potential Users? Understanding the Effect of Human Needs (KM, FA), pp. 314–328.
CIKM-2011-AgrawalBA #information management #network #social: Information diffusion in social networks: observing and affecting what society cares about (DA, CB, AEA), pp. 2609–2610.
CIKM-2011-PandeyABHCRZ #behaviour #learning: Learning to target: what works for behavioral targeting (SP, MA, AB, AOH, PC, AR, MZ), pp. 1805–1814.
CIKM-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.
CIKM-2011-TorresW #how #web: What and how children search on the web (SDT, IW), pp. 393–402.
ECIR-2011-ElsweilerBR #case study #email: What Makes Re-finding Information Difficult? A Study of Email Re-finding (DE, MB, IR), pp. 568–579.
KDD-2011-MampaeyTV: Tell me what i need to know: succinctly summarizing data with itemsets (MM, NT, JV), pp. 573–581.
KDIR-2011-NissanH #generative #information retrieval: Information Retrieval in the Service of Generating Narrative Explanation — What we Want from Gallura (EN, YHK), pp. 487–492.
KMIS-2011-VirtaW #information management: Sharing What You Know, Building Expertise — Information Sharing between Generations in a Business Organization (MV, GW), pp. 129–135.
SIGIR-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.
SIGIR-2011-GossenLN #difference #web: What are the real differences of children’s and adults’ web search (TG, TL, AN), pp. 1115–1116.
SIGIR-2011-ThomasJH #quality: What deliberately degrading search quality tells us about discount functions (PT, TJ, DH), pp. 1107–1108.
Onward-2011-Derk #perspective #programming language: What makes a programming language popular?: an essay from a historical perspective (MD), pp. 163–166.
OOPSLA-2011-SonMS #named #security: RoleCast: finding missing security checks when you do not know what checks are (SS, KSM, VS), pp. 1069–1084.
RE-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.
RE-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.
REFSQ-2011-BakalovaDHW #agile #requirements: Agile Requirements Prioritization: What Happens in Practice and What Is Described in Literature (ZB, MD, AH, RW), pp. 181–195.
FoSSaCS-2011-AxelsenG #question #source code: What Do Reversible Programs Compute? (HBA, RG), pp. 42–56.
CADE-2011-Ranta #logic: Translating between Language and Logic: What Is Easy and What Is Difficult (AR), pp. 5–25.
LICS-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.
JCDL-2010-AudenaertF #how: What humanists want: how scholars use source materials (NA, RF), pp. 283–292.
JCDL-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.
VLDB-2010-AbadiCCGPR #database #question: Cloud Databases: What’s New? (DA, MJC, SC, HGM, JMP, RR), p. 1657.
ITiCSE-2010-GurselG #student: What do promising high school students think about studying computing (DAG, BG), p. 325.
ITiCSE-2010-MainFH #quantum #student: What did qubits ever do for me: an answer for CS2 students (MM, RF, YH), pp. 209–213.
MSR-2010-RahmanBD #named #question #smell: Clones: What is that smell? (FR, CB, PTD), pp. 72–81.
ICALP-v2-2010-HofmannKS #functional #question: What Is a Pure Functional? (MH, AK, HS), pp. 199–210.
FDG-2010-LewisWW #debugging #game studies #taxonomy #video: What went wrong: a taxonomy of video game bugs (CL0, JW, NWF), pp. 108–115.
FDG-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.
CHI-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.
CHI-2010-HartmannMBK #error message #fault: What would other programmers do: suggesting solutions to error messages (BH, DM, JB, SRK), pp. 1019–1028.
CHI-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.
CHI-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.
CHI-2010-SauroL #question #testing #usability: Average task times in usability tests: what to report? (JS, JRL), pp. 2347–2350.
CHI-2010-Thom-SantelliCG #collaboration: What do you know?: experts, novices and territoriality in collaborative systems (JTS, DC, GG), pp. 1685–1694.
CHI-2010-ViewegHSP #microblog #twitter: Microblogging during two natural hazards events: what twitter may contribute to situational awareness (SV, ALH, KS, LP), pp. 1079–1088.
CSCW-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.
CSCW-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.
EDOC-2010-VoelzG #quality #question: What is Different in Quality Management for SOA? (DV, AG), pp. 47–56.
CIKM-2010-PiwowarskiFLR #information retrieval #quantum: What can quantum theory bring to information retrieval (BP, IF, ML, KvR), pp. 59–68.
RecSys-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.
OOPSLA-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.
AdaEurope-2010-Baker #manycore #question #realtime #reliability: What to Make of Multicore Processors for Reliable Real-Time Systems? (TPB), pp. 1–18.
RE-2010-Beatty #question: My Company Can’t Afford RE Training Right Now, What Do We Do? (JB), p. 387.
ICSE-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.
DAC-2010-GajskiAS #question #synthesis: What input-language is the best choice for high level synthesis (HLS)? (DG, TMA, SS), pp. 857–858.
DAC-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.
DAC-2010-Hiskens #grid #question #smarttech: What’s smart about the smart grid? (IAH), pp. 937–939.
DAC-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.
DATE-2010-Cota #embedded #problem #question #testing: Embedded software testing: What kind of problem is this? (ÉFC), p. 1486.
ICST-2010-WeyukerBO #debugging #question: We’re Finding Most of the Bugs, but What are We Missing? (EJW, RMB, TJO), pp. 313–322.
HT-2009-MeissDGRM #behaviour #web: What’s in a session: tracking individual behavior on the web (MM, JD, BG, JJR, FM), pp. 173–182.
JCDL-2009-KulesCBS #interface #question: What do exploratory searchers look at in a faceted search interface? (BK, RC, MB, TS), pp. 313–322.
JCDL-2009-McCownN #facebook #question: What happens when facebook is gone? (FM, MLN), pp. 251–254.
SIGMOD-2009-AngelKSS #question: What’s on the grapevine? (AA, NK, NS, DS), pp. 1047–1050.
SIGMOD-2009-MuellerT #database #named #question: FPGA: what’s in it for a database? (RM, JT), pp. 999–1004.
EDM-2009-MostowB #how #lessons learnt #why: Why, What, and How to Log? Lessons from LISTEN (JM, JB), pp. 269–278.
ITiCSE-2009-MitchellPH #question: Computing science: what do pupils think? (AM, HCP, JH), p. 353.
ITiCSE-2009-PargasB #question: What were they thinking? (RPP, SPB), pp. 134–138.
ICSM-2009-HindleGH #analysis #developer #topic: What’s hot and what’s not: Windowed developer topic analysis (AH, MWG, RCH), pp. 339–348.
ICSM-2009-Wang #developer #motivation #source code: What motivate software engineers to refactor source code? evidences from professional developers (YW), pp. 413–416.
MSR-2009-RastkarM #interactive #on the #question #recommendation: On what basis to recommend: Changesets or interactions? (SR, GCM), pp. 155–158.
FM-2009-BonzanniFFK #biology #formal method #question: What Can Formal Methods Bring to Systems Biology? (NB, KAF, WF, EK), pp. 16–22.
DiGRA-2009-Johansson #game studies #online #question: What Makes Online Collectible Card Games Fun to Play? (SJJ).
DiGRA-2009-KafaiBF #education #game studies: What Videogame Making Can Teach Us About Access and Ethics in Participatory Culture (YBK, WQB, DAF).
DiGRA-2009-MacCallum-Stewart #game studies #how #online: 'What sort of Fish was it?' How Players Understand their Narrative in Online Games (EMS).
DiGRA-2009-Niedenthal #game studies: What We Talk About When We Talk About Game Aesthetics (SN).
CHI-2009-BaoG #using: What’s “this” you say?: the use of local references on distant displays (PB, DG), pp. 1029–1032.
CHI-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.
CHI-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.
CHI-2009-KitturCS #topic #using #wiki: What’s in Wikipedia?: mapping topics and conflict using socially annotated category structure (AK, EHC, BS), pp. 1509–1512.
CHI-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.
CHI-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.
CHI-2009-ShenLD #video: What’s next?: emergent storytelling from video collection (EYTS, HL, GD), pp. 809–818.
CHI-2009-Thom-SantelliCG #authoring #collaboration: What’s mine is mine: territoriality in collaborative authoring (JTS, DC, GG), pp. 1481–1484.
DHM-2009-Marshall: What the Eyes Reveal: Measuring the Cognitive Workload of Teams (SPM), pp. 265–274.
HCD-2009-Go #design #question #usability: What Properties Make Scenarios Useful in Design for Usability? (KG), pp. 193–201.
HCI-NT-2009-GuoPS: What Do Users Want to See? A Content Preparation Study for Consumer Electronics (YG, RWP, GS), pp. 413–420.
HCI-NT-2009-Lew #experience: What Do Users Really Do? Experience Sampling in the 21st Century (GSL), pp. 314–319.
IDGD-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.
CIKM-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.
CIKM-2009-KementsietsidisW #evaluation #query #question: Provenance query evaluation: what’s so special about it? (AK, MW), pp. 681–690.
CIKM-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.
CIKM-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.
ECIR-2009-Rijke #question: Searching User Generated Content: What’s Next? (MdR), p. 2.
ECIR-2009-SandersonTAC: What Else Is There? Search Diversity Examined (MS, JT, TA, PDC), pp. 562–569.
KEOD-2009-Kop #concept #ontology #owl #question: What are Main Concepts in an OWL Domain Ontology? (CK), pp. 404–407.
SIGIR-2009-KapteinMK: Who said what to whom?: capturing the structure of debates (RK, MM, JK), pp. 831–832.
SIGIR-2009-ZhangL #query #question #web: What queries are likely to recur in web search? (DZ, JL), pp. 827–828.
MoDELS-2009-Mellor #modelling #question: Models. Models. Models. So What? (SJM), p. 1.
MoDELS-2009-Mellor #modelling #question: Models. Models. Models. So What? (SJM), p. 1.
ECOOP-2009-Jones #haskell #why: Classes, Jim, But Not as We Know Them — Type Classes in Haskell: What, Why, and Whither (SLPJ), p. 1.
RE-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.
SLE-2009-Bezivin #problem #question: If MDE Is the Solution, Then What Is the Problem? (JB), p. 2.
ESOP-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.
ECDL-2008-KeeganC #difference: What a Difference a Default Setting Makes (TTK, SJC), pp. 264–267.
ECDL-2008-RazikinGCL #question #social: Can Social Tags Help You Find What You Want? (KR, DHLG, AYKC, CSL), pp. 50–61.
HT-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.
SIGMOD-2008-HarizopoulosAMS: OLTP through the looking glass, and what we found there (SH, DJA, SM, MS), pp. 981–992.
VLDB-2008-BlottW #question #similarity: What’s wrong with high-dimensional similarity search? (SB, RW), p. 3.
ITiCSE-2008-CaspersenCDPST #education #question: What is masters level education in informatics? (MEC, LNC, GD, AP, SS, HT), p. 341.
ITiCSE-2008-ChinnV #gender #student: What students say about gender in hiring software professionals (DC, TV), p. 344.
ITiCSE-2008-DorgeS #question: What are information technology’s key qualifications? (CD, CS), pp. 296–300.
ITiCSE-2008-Hall #web #why: What is web science and why is it important to CSE (WH), pp. 1–2.
ICPC-2008-AlaliKM #commit #open source #repository: What’s a Typical Commit? A Characterization of Open Source Software Repositories (AA, HHK, JIM), pp. 182–191.
MSR-2008-HindleGH #commit #scalability: What do large commits tell us?: a taxonomical study of large commits (AH, DMG, RCH), pp. 99–108.
CHI-2008-ChauMF: What to do when search fails: finding information by association (DHC, BAM, AF), pp. 999–1008.
CHI-2008-NovNY: What drives content tagging: the case of photos on Flickr (ON, MN, CY), pp. 1097–1100.
CHI-2008-PetrelliWB #named #physics #question: AutoTypography: what can physical mementos tell us about digital memories? (DP, SW, JB), pp. 53–62.
CHI-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.
CSCW-2008-PriedhorskyT #how #why: The computational geowiki: what, why, and how (RP, LGT), pp. 267–276.
CSCW-2008-TolmieCRB #quote: “Are you watching this film or what?”: interruption and the juggling of cohorts (PT, AC, TR, SB), pp. 257–266.
ICEIS-DISI-2008-PennesiHRWS #why: WWW++ — Adding Why to What, When and Where (PP, MH, CR, CYW, SS), pp. 304–309.
ICEIS-SAIC-2008-BninaCNA #question #trust: What Can Context Do for Trust in Manets? (EBB, OC, CTN, HKBA), pp. 133–141.
ECIR-2008-Belkin #challenge #information retrieval: Some(What) Grand Challenges for Information Retrieval (NJB), p. 1.
ICML-2008-LiLW #framework #learning #self: Knows what it knows: a framework for self-aware learning (LL, MLL, TJW), pp. 568–575.
KR-2008-HinrichsG #finite #how #injection #logic: Injecting the How into the What: Investigating a Finite Classical Logic (TLH, MRG), pp. 92–192.
RE-2008-SimAA #experience #requirements: Marginal Notes on Amethodical Requirements Engineering: What Experts Learned from Experience (SES, TAA, BAA), pp. 105–114.
FSE-2008-BettenburgJSWPZ #debugging #question: What makes a good bug report? (NB, SJ, AS, CW, RP, TZ), pp. 308–318.
SAC-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.
DAC-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.
DAC-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.
FASE-2008-ClassenHS #perspective #requirements: What’s in a Feature: A Requirements Engineering Perspective (AC, PH, PYS), pp. 16–30.
FoSSaCS-2008-HabermehlIV #array #decidability #integer #question: What Else Is Decidable about Integer Arrays? (PH, RI, TV), pp. 474–489.
TAP-2008-WeyukerO #fault #predict #question: What Can Fault Prediction Do for YOU? (EJW, TJO), pp. 18–29.
ECSA-2007-Papazoglou #question: What’s in a Service? (MPP), pp. 11–28.
WICSA-2007-Muccini #architecture #testing: What Makes Software Architecture-Based Testing Distinguishable (HM), p. 29.
HT-2007-schraefel #question #semantics #web #why: What is an analogue for the semantic web and why is having one important? (MMCS), pp. 123–132.
JCDL-2007-LeeTS: Defining what digital curators do and what they need to know: the digccurr project (CAL, HRT, JCS), pp. 49–50.
PODS-2007-WhiteRGD #question: What is “next” in event processing? (WMW, MR, JG, AJD), pp. 263–272.
VLDB-2007-Amer-YahiaH #database #question #web: What does Web 2.0 have to do with databases? (SAY, AYH), p. 1443.
VLDB-2007-IvesDR #adaptation #how #query #question #why: Adaptive query processing: Why, How, When, and What Next? (ZGI, AD, VR), pp. 1426–1427.
ITiCSE-2007-LarssonAKE #evaluation #question: What impacts course evaluation? (EL, MA, DK, PE), p. 333.
MSR-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.
DLT-2007-Kunc #equation #question: What Do We Know About Language Equations? (MK), pp. 23–27.
DiGRA-2007-PepplerK #education #game studies #learning: What Videogame Making Can Teach Us About Literacy and Learning: Alternative Pathways into Participatory Culture (KAP, YBK).
CHI-2007-AndreasenNSS #empirical #testing #usability: What happened to remote usability testing?: an empirical study of three methods (MSA, HVN, SOS, JS), pp. 1405–1414.
CHI-2007-CutrellG #web: What are you looking for?: an eye-tracking study of information usage in web search (EC, ZG), pp. 407–416.
CHI-2007-LindgaardC #question #testing #usability: Usability testing: what have we overlooked? (GL, JC), pp. 1415–1424.
CHI-2007-ShehanE #human-computer #network #question: Home networking and HCI: what hath god wrought? (ES, WKE), pp. 547–556.
HCI-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.
HCI-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.
HCI-IDU-2007-EschenbrennerN #identification #information management: What Makes Them So Special?: Identifying Attributes of Highly Competent Information System Users (BE, FFHN), pp. 736–745.
HCI-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.
HCI-IPT-2007-DengZTDW #documentation: Improving Document Icon to Re-find Efficiently What You Need (CD, MZ, FT, GD, HW), pp. 49–52.
HIMI-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.
OCSC-2007-Bickmore #lessons learnt #smarttech #social: What Would Jiminy Cricket Do? Lessons from the First Social Wearable (TWB), pp. 12–21.
ICEIS-AIDSS-2007-SotoVPP #information management #question: Knowledge Management Systems with Reputation and Intuition — What for? (JPS, AV, JPR, MP), pp. 498–503.
ICEIS-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.
CIKM-2007-JonesKPT #privacy #query #quote: “I know what you did last summer”: query logs and user privacy (RJ, RK, BP, AT), pp. 909–914.
ICML-2007-Werner #algorithm #consistency #question: What is decreased by the max-sum arc consistency algorithm? (TW), pp. 1007–1014.
SIGIR-2007-LinYC #question: What emotions do news articles trigger in their readers? (KHYL, CY, HHC), pp. 733–734.
ASE-2007-Selic #automation: The embarrassing truth about software automation and what should be done about it (BS), p. 3.
DATE-2007-Wingen #design #question: What if you could design tomorrow’s system today? (NW), pp. 835–840.
ESOP-2007-MantelR #classification #security: Controlling the What and Where of Declassification in Language-Based Security (HM, AR), pp. 141–156.
ISSTA-2007-ChangPY #approach: Finding what’s not there: a new approach to revealing neglected conditions in software (RYC, AP, JY), pp. 163–173.
ECDL-2006-ShenVFF #library #question: What Is a Successful Digital Library? (RS, NSV, WF, EAF), pp. 208–219.
JCDL-2006-ChoiR: What do digital librarians do (YC, EMR), pp. 187–188.
SIGMOD-2006-DeshpandeHR #adaptation #how #query #why: Adaptive query processing: why, how, when, what next (AD, JMH, VR), pp. 806–807.
CSEET-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.
ITiCSE-2006-BoyleB #question: What don’t you know? (RDB, JB), p. 343.
ITiCSE-2006-ChenLMSS #question #student: What do beginning students know, and what can they do? (TYC, GL, RM, KS, BS), p. 329.
ICPC-2006-LawrieMFB #case study #identifier: What’s in a Name? A Study of Identifiers (DL, CM, HF, DB), pp. 3–12.
CHI-2006-WallB #feedback #graph #navigation: Feeling what you hear: tactile feedback for navigation of audio graphs (SAW, SAB), pp. 1123–1132.
CSCW-2006-Lee #analysis #social: What goes around comes around: an analysis of del.icio.us as social space (KJL), pp. 191–194.
ICPR-v1-2006-BoschMOM #approach #classification #question: Object and Scene Classification: what does a Supervised Approach Provide us? (AB, XM, AO, RM), pp. 773–777.
SEKE-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.
SIGIR-2006-CarmelYDP #query #question: What makes a query difficult? (DC, EYT, AD, DP), pp. 390–397.
SIGIR-2006-FrankowskiCSTR #privacy #risk management: You are what you say: privacy risks of public mentions (DF, DC, SS, LGT, JR), pp. 565–572.
RE-2006-AkkermansG #question #requirements: What is This Science Called Requirements Engineering? (HA, JG), pp. 266–271.
ICSE-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.
SAC-2006-SauvagnatHB #question #retrieval #using #xml: XML retrieval: what about using contextual relevance? (KS, LH, MB), pp. 1114–1115.
DAC-2006-SingerMBHK #question: The IC nanometer race — what will it take to win? (GS, PM, DB, FCH, HKK), pp. 77–78.
DATE-2006-DasBDC #design #model checking #question: What lies between design intent coverage and model checking? (SD, PB, PD, PPC), pp. 1217–1222.
VMCAI-2006-BradleyMS #array #decidability #question: What’s Decidable About Arrays? (ARB, ZM, HBS), pp. 427–442.
WICSA-2005-Koschke #architecture #reverse engineering: What Architects Should Know About Reverse Engineering and Rengineering (RK), pp. 4–10.
WICSA-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.
HT-2005-Moulthrop #hypermedia #problem: What the geeks know: hypertext and the problem of literacy (SM), pp. 227–231.
HT-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.
ICDAR-2005-AblameykoBP: . What Should the User Do? Inference Structures and Line Drawing Interpretation (SA, VB, TPP), pp. 760–764.
JCDL-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.
CSEET-2005-Selic #developer: What I Wish I Had Learned in School: Reflections on 30+ Years as a Software Developer (BS), p. 5.
ITiCSE-2005-AlmstrumL #question #women: What attracts women to CS? (VLA, MZL), p. 378.
ITiCSE-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.
ICSM-2005-Demeyer #morphism #performance #polymorphism #question: Refactor Conditionals into Polymorphism: What’s the Performance Cost of Introducing Virtual Calls? (SD), pp. 627–630.
IWPC-2005-HouWH #framework #question: What Can Programmer Questions Tell Us About Frameworks? (DH, KW, HJH), pp. 87–96.
SEFM-2005-Chalin #logic #question: Logical Foundations of Program Assertions: What do Practitioners Want? (PC), pp. 383–393.
DiGRA-2005-BeckerJ #game studies #learning #question: Games for Learning: Are Schools Ready for What's to Come? (KB, MJ).
DiGRA-2005-Bojin #experience #game studies: What Do We Learn When We Change the Way We Play? Augmenting the Computer Gameplay Experience (NB).
DiGRA-2005-Esposito05a #game studies: A Short and Simple Definition of What a Videogame Is (NE).
DiGRA-2005-HoshinoSB #game studies #question: The Dawn of Game Studies in Japan: What Held Japanese Game Studies Back? (RH, KS, AB).
DiGRA-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).
DiGRA-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).
CHI-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.
CHI-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.
CHI-2005-PatilL #configuration management #privacy: Who gets to know what when: configuring privacy permissions in an awareness application (SP, JL), pp. 101–110.
MoDELS-2005-MiliE #design pattern #problem #question #representation: Representing and Applying Design Patterns: What Is the Problem? (HM, GEB), pp. 186–200.
MoDELS-2005-MiliE #design pattern #problem #question #representation: Representing and Applying Design Patterns: What Is the Problem? (HM, GEB), pp. 186–200.
RE-2005-AlexanderRM #industrial #process #requirements: What Influences the Requirements Process in Industry? A Report on Industrial Practice (IFA, SR, NAMM), pp. 411–415.
ICSE-2005-MaurerM #agile: What you always wanted to know about agile methods but did not dare to ask (FM, GM), pp. 731–732.
ICSE-2005-ShawHO #design #education #re-engineering: Deciding what to design: closing a gap in software engineering education (MS, JDH, IO), pp. 607–608.
COCV-J-2005-Langmaack #question #reasoning: What Level of Mathematical Reasoning can Computer Science Demand of a Software Implementer? (HL), pp. 5–32.
DAC-2005-NassifZMMPV #exclamation: The Titanic: what went wrong! (SRN, PSZ, CM, MM, SDP, WV), pp. 349–350.
CADE-2005-Dowek #consistency #question: What Do We Know When We Know That a Theory Is Consistent? (GD), pp. 1–6.
HT-2004-Wardrip-Fruin #hypermedia: What hypertext is (NWF), pp. 126–127.
ITiCSE-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.
ITiCSE-2004-VeenML #education #question: What is lacking in curriculum schemes for computing/informatics? (MvV, FM, KL), pp. 186–190.
SIGITE-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.
SIGITE-2004-MiertschinW #mobile #question: Mobile computing in the freshman computer literacy course what impact? (SLM, CLW), pp. 149–152.
ICALP-2004-Hofmann #logic #question #type system: What Do Program Logics and Type Systems Have in Common? (MH0), pp. 4–7.
CHI-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.
ICEIS-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.
KR-2004-CalvaneseGLLR #query: What to Ask to a Peer: Ontolgoy-based Query Reformulation (DC, GDG, DL, ML, RR), pp. 469–478.
KR-2004-Denecker #analysis #logic programming: What’s in a Model? Epistemological Analysis of Logic Programming (MD), pp. 106–113.
KR-2004-Patel-Schneider #owl #question #why: What Is OWL (and Why Should I Care)? (PFPS), pp. 735–737.
SIGIR-2004-LarsonF #information retrieval: Geographic information retrieval (GIR): searching where and what (RRL, PF), p. 600.
SPLC-2004-Krueger #product line: Product Line Binding Times: What You Don?t Know Can Hurt You (CWK), pp. 305–306.
PEPM-2004-Morrisett #question: Invited talk: what’s the future for proof-carrying code? (JGM), p. 203.
PPDP-2004-Morrisett #question: Invited talk: what’s the future for proof-carrying code? (JGM), p. 5.
DAC-2004-BacchiniDBBNIY #named #verification: Verification: what works and what doesn’t (FB, RFD, BB, KB, KN, MI, EY), p. 274.
DAC-2004-DeoZBCGLRRS #question: What happened to ASIC?: Go (recon)figure? (ND, BZ, IB, JC, BG, PL, CBR, CR, RS), p. 185.
DAC-2004-LiuPP #library #power management #question: Practical repeater insertion for low power: what repeater library do we need? (XL, YP, MCP), pp. 30–35.
DATE-v2-2004-RajskiT #design #question #requirements: Nanometer Design: What are the Requirements for Manufacturing Test? (JR, KT), pp. 930–937.
HT-2003-Nurnberg #hypermedia #question: What is hypertext? (PJN), pp. 220–221.
PODS-2003-CormodeM: What’s hot and what’s not: tracking most frequent items dynamically (GC, SM), pp. 296–306.
CSEET-2003-Cowling #question: What Should Graduating Software Engineers Be Able To Do? (AJC), pp. 88–98.
CSEET-2003-GermainR #process #question #student: What Cognitive Activities Are Performed in Student Projects? (ÉG, PNR), p. 224–?.
ITiCSE-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.
ITiCSE-2003-SheardD #question #student: Influences on cheating practice of graduate students in IT courses: what are the factors? (JS, MD), pp. 45–49.
CHI-2003-FriedmanKH #hardware #online: Hardware companions?: what online AIBO discussion forums reveal about the human-robotic relationship (BF, PHKJ, JH), pp. 273–280.
CHI-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.
CHI-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.
ICEIS-v4-2003-Cox #communication #design: What Is the Value of Emotion in Communication? Implications for User Centred Design (RC), pp. 418–425.
ECIR-2003-HeeschR #feedback #image #question #retrieval: Relevance Feedback for Content-Based Image Retrieval: What Can Three Mouse Clicks Achieve? (DH, SMR), pp. 363–376.
SIGIR-2003-KampsMRS #question #retrieval #xml: XML retrieval: what to retrieve? (JK, MM, MdR, BS), pp. 409–410.
SIGIR-2003-SakaiK #performance #question #retrieval: Evaluating retrieval performance for Japanese question answering: what are best passages? (TS, TK), pp. 429–430.
UML-2003-Fowler #question #uml: What Is the Point of the UML? (MF), p. 325.
ASE-2003-MemonBN #effectiveness #question #testing #user interface: What Test Oracle Should I Use for Effective GUI Testing? (AMM, IB, AN), pp. 164–173.
ICSE-2003-Szyperski #component #how #question: Component Technology — What, Where, and How? (CAS), pp. 684–693.
ESOP-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.
TACAS-2003-Lee #case study #experience: What Are We Trying to Prove? Reflections on Experiences with Proof-Carrying Code (PL0), p. 1.
JCDL-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.
PODS-2002-ChuHG #optimisation #query #question: Least Expected Cost Query Optimization: What Can We Expect? (FCC, JYH, JG), pp. 293–302.
ITiCSE-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.
CSCW-2002-HandelH #chat #question: What is chat doing in the workplace? (MH, JDH), pp. 1–10.
ICPR-v2-2002-KakD #question: Robotic Vision: What Happened to the Visions of Yesterday? (ACK, GND), pp. 839–847.
KDD-2002-UgurelKG #automation #classification #source code: What’s the code?: automatic classification of source code archives (SU, RK, CLG), pp. 639–644.
RE-2002-Kovitz #ambiguity: Ambiguity and What to Do about It (BK), p. 213.
ASE-2002-OwenMC #finite #modelling #question: What Makes Finite-State Models More (or Less) Testable? (DO, TM, BC), pp. 237–240.
LDTA-2002-Consel #domain-specific language #how #why: Domain-Specific Languages: What, Why, How (CC), p. 1.
DAC-2002-BrodersenHKKLK #design #question: Nanometer design: what hurts next...? (RWB, AMH, JK, DK, MAL, MK), p. 242.
DAC-2002-RabaeyKBCSLH #question: What’s the next EDA driver? (JMR, JK, DB, RC, DS, LL, RH), p. 652.
DATE-2002-LewisBLWGT #configuration management #question: Reconfigurable SoC — What Will it Look Like? (JBL, IB, RL, CW, BG, YT), pp. 660–662.
ECDL-2001-FreestonH #development #question: What’s Holding Up the Development of Georeferenced DLs? (MF, LLH), p. 458.
PASTE-2001-Webber #invariant #question: What is a class invariant? (ABW), pp. 86–89.
CHI-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.
CIKM-2001-Rosenthal #documentation #question #security: What Can Researches Do to Improve Security of Data and Documents? (AR), p. 593.
KDD-2001-PadmanabhanZK #personalisation #semistructured data: Personalization from incomplete data: what you don’t know can hurt (BP, Z(Z, SOK), pp. 154–163.
SEKE-2001-Vegas #question #testing: What Information is Relevant when Selecting Testing Techniques? (SV), pp. 45–52.
TOOLS-USA-2001-Thompson #named #question: SOAP: What Is It and What Is It Good For? (PT), p. 364.
POPL-2001-BhargavanCMG #automaton #monitoring #network: What packets may come: automata for network monitoring (KB, SC, PJM, CAG), pp. 206–219.
SAS-2001-Schneider #security #why: Language-Based Security: What’s Needed and Why (FBS), p. 374.
RE-2001-Gonzales #question: Systems or Software: What Should the “S” in SRE Stand for? (RG), p. 281.
RE-2001-Greenspan #question #requirements: Extreme RE: What If There Is No Time for Requirements Engineering? (SJG), pp. 282–285.
RE-2001-Hooks #requirements: What Happens With Good Requirements Practices (IH), p. 268.
RE-2001-WesselsD #question #requirements: What Happens before Requirements Engineering? (BW, JED), pp. 298–299.
ICSE-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.
DATE-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.
PDP-2001-Appelt #analysis: What Groupware Functionality Do Users Really Use? Analysis of the Usage of the BSCW System (WA), p. 337–?.
ESOP-2001-AmtoftKP #question: What Are Polymorphically-Typed Ambients? (TA, AJK, SMPG), pp. 206–220.
CBSE-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.
HT-2000-Larsen #flexibility #hypermedia: Providing flexibility within hypertext systems: what we’ve learned at HT workshops, CyberMountain, and elsewhere (DL), pp. 268–269.
VLDB-2000-HinneburgAK #nearest neighbour #question: What Is the Nearest Neighbor in High Dimensional Spaces? (AH, CCA, DAK), pp. 506–515.
VLDB-2000-ManegoldBK #cpu #memory management #optimisation: What Happens During a Join? Dissecting CPU and Memory Optimization Effects (SM, PAB, MLK), pp. 339–350.
ITiCSE-2000-Carter #student: What the students said about plagiarsim (JC), p. 186.
CSMR-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.
ICSM-2000-Chapin00a #maintenance #question: Do We Know What Preventive Maintenance Is? (NC), pp. 15–17.
ICSM-2000-Kajko-Mattsson #exclamation #maintenance #question: Preventive Maintenance! Do We Know What It Is? (MKM), pp. 12–14.
ICSM-2000-Vehvilainen #maintenance #question: What Is Preventive Software Maintenance? (RV), p. 18–?.
CHI-2000-LeeKM #design #internet: What makes Internet users visit cyber stores again? key design factors for customer loyalty (JL, JK, JYM), pp. 305–312.
CHI-2000-WhittakerDHM #interface #named: Jotmail: a voicemail interface that enables you to see what was said (SW, RD, JH, UM), pp. 89–96.
ICEIS-2000-MooreICMS #adaptation #workflow: Who Does What? Matching Agents to Tasks in Adaptive Workflow (JPM, RI, PWHC, AM, JS), pp. 181–185.
TOOLS-EUROPE-2000-Reenskaug #collaboration #how #uml #why: The What, Why and How of the UML Collaboration (TR), p. 476.
PEPM-2000-LiuS #optimisation #question #recursion: From Recursion to Iteration: What are the Optimizations? (YAL, SDS), pp. 73–82.
ICRE-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.
ICRE-2000-Gause #question #requirements: Requirements Engineering: What Have We Accomplished? Where Are We Now? Where Are We Going? (DCG), pp. 195–196.
ICRE-2000-Mead00a #certification #requirements: What Do You Mean I’m Practicing without a License? Certification and Licensing of Requirements Engineering Professionals (NRM), p. 152.
FASE-2000-Kondoh #question #re-engineering: What is “Mathematicalness” in Software Engineering? (HK), pp. 163–177.
HT-1999-NurnbergA #hypermedia #research #web: What Was the Question? Reconciling Open Hypermedia and World Wide Web Research (PJN, HA), pp. 83–90.
SIGMOD-1999-CareyCNVDRSM #question: O-O, What’s Happening to DB2? (MJC, DDC, SN, BV, DD, SR, RS, NMM), pp. 511–512.
VLDB-1999-CareyCNVDRSM #question: O-O, What Have They Done to DB2? (MJC, DDC, SN, BV, DD, SR, RS, NMM), pp. 542–553.
VLDB-1999-DeRose #question #xml: What Do Those Weird XML Types Want, Anyway? (SJD), pp. 721–724.
VLDB-1999-JagadishLS #question: What can Hierarchies do for Data Warehouses? (HVJ, LVSL, DS), pp. 530–541.
CSEET-1999-McMillanR #re-engineering #student: What Leading Practitioners Say Should be Emphasized in Students’ Software Engineering Projects (WWM, SR), pp. 177–185.
ITiCSE-1999-Carter #collaboration #student: Collaboration or plagiarism: what happens when students work together (JC), pp. 52–55.
ITiCSE-1999-CarterJ #gender #programming #question: Gender and programming: what’s going on? (JC, TJ), pp. 1–4.
HCI-CCAD-1999-WhiteC #question #web: What are you looking at on the web: information or applications? (DW, YYC), pp. 76–79.
HCI-EI-1999-Canamero #human-computer #question: What Emotions are Necessary for HCI? (DC), pp. 838–842.
HCI-EI-1999-HansenS #question: 200, 000, 000, 000 Call Records — Now What Do We Do? (RSH, RKS), pp. 1158–1161.
ICEIS-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.
ICEIS-1999-ReisM #network: What’s in a Node?-Nodes and Agents in Logistic Networks (JR, NJM), pp. 285–291.
CIKM-1999-Giles #question #web: Searching the Web: Can You Find What You Want? (CLG), pp. 1–2.
KDD-1999-Sahar: Interestingness via What is Not Interesting (SS), pp. 332–336.
TOOLS-EUROPE-1999-Henderson-SellersB #question: What is This Thing Called Aggregation? (BHS, FB), pp. 236–250.
PLDI-1999-CraryHP #question #recursion: What is a Recursive Module? (KC, RH, SP), pp. 50–63.
SIGAda-1999-PautetT #distributed #question: What future for the distributed systems annex? (LP, ST), pp. 77–82.
DAC-1999-DeHonW #automation #configuration management #design #why: Reconfigurable Computing: What, Why, and Implications for Design Automation (AD, JW), pp. 610–615.
HPDC-1999-Weissman #fault tolerance #grid #question: Fault Tolerant Computing on the Grid: What are My Options? (JBW), pp. 351–352.
STOC-1999-CanettiO #question: Secure Computation with Honest-Looking Parties: What If Nobody Is Truly Honest? (RC, RO), pp. 255–264.
ECDL-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.
SIGMOD-1998-LacroixSC #exclamation #web: User-oriented smart-cache for the Web: What You Seek is What You Get! (ZL, AS, RC), pp. 572–574.
VLDB-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.
CSEET-1998-CarterBCR #industrial: What Industry Wants in Its New Hires (DC, MFB, RC, GR), pp. 126–127.
CHI-1998-WalkerFFMH #email #interface: What can I say? Evaluating a Spoken Language Interface to Email (MAW, JF, GDF, CM, DH), pp. 582–589.
ICPR-1998-Gimelfarb #interactive #modelling #question #segmentation: Supervised segmentation by pairwise interactions: do Gibbs models learn what we expect? (GLG), pp. 817–819.
KR-1998-Levesque98a: What Robots Can Do (HJL), p. 651.
OOPSLA-1998-DrossopoulouWE #java #question: What is Java Binary Compatibility? (SD, DW, SE), pp. 341–361.
ICSE-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.
DAC-1998-Dill #question #simulation #verification: What’s Between Simulation and Formal Verification? (DLD), pp. 328–329.
FASE-1998-Jones: Some Mistakes I Have and What I Have Learned from Them (CBJ), pp. 7–20.
ISSTA-1998-Hamlet #question #testing: What Can We Learn by Testing a Program? (RGH), pp. 50–52.
HT-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.
HT-1997-Golovchinsky #hypermedia #information retrieval #integration #query: What the Query Told the Link: The Integration of Hypertext and Information Retrieval (GG), pp. 67–74.
HT-1997-LaddCS #question #web: The World Wide Web: What Cost Simplicity? (BCL, MVC, PDS), pp. 210–211.
ITiCSE-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.
ITiCSE-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.
HCI-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.
HCI-CC-1997-SalimM #named #question: Groupware: What You See Is What You Need? (SSS, LAM), pp. 53–56.
HCI-SEC-1997-BlanchonF: Asking Users About What They Mean: Two Experiments & Results (HB, LF), pp. 609–612.
EDOC-1997-Kindel #black box #encapsulation #interface #multi #named: COM: what makes it work, black-box encapsulation through multiple, immutable interfaces (CK), pp. 68–77.
RE-1997-Hall #question #requirements #using: What’s the Use of Requirements Engineering? (AH), p. 2–?.
ESEC-FSE-1997-Maibaum #education #question: What We Teach Software Engineers in the University: Do We Take Engineering Seriously? (TSEM), pp. 40–50.
ESEC-FSE-1997-Uhl #industrial: What we Expect from Software Engineers in the Industry (JU), p. 51.
TAPSOFT-1997-Sanella #question: What Does the Future Hold for Theoretical Computer Science? (DS), pp. 15–19.
VLDB-1996-GuptaM #problem: What is the Data Warehousing Problem? (Are Materialized Views the Answer?) (AG, ISM), p. 602.
ITiCSE-1996-ProulxRF #education #how #question: Foundations of computer science: what are they and how do we teach them? (VKP, RR, HJF), pp. 42–48.
ICFP-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.
CSCW-1996-Bazzigaluppi #question: Groupware at Work: It’s Here Now, But Do We Know What It Is Yet? (GB), pp. 438–440.
AKDDM-1996-MatheusPM: Selecting and reporting What Is Interesting (CJM, GPS, DM), pp. 495–515.
ICPR-1996-FlorouM #3d #metric #question: What accuracy for 3D measurements with cameras? (GF, RM), pp. 354–358.
KR-1996-Fikes #named #ontology #question #research: Ontologies: What Are They, and Where’s The Research? (RF), pp. 652–653.
KR-1996-Mark #named #ontology #question #research: Ontologies: What Are They, and Where’s The Research? (WSM), pp. 654–655.
POPL-1996-Jim #question: What Are Principal Typings and What Are They Good For? (TJ), pp. 42–53.
DAC-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.
CADE-1996-Scott #automation #deduction #question: What Can We Hope to Achieve From Automated Deduction? (DSS), p. 245.
TLCA-1995-Bierman #category theory #linear #logic #question: What is a Categorical Model of Intuitionistic Linear Logic? (GMB), pp. 78–93.
CHI-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.
CHI-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.
STOC-1995-DiaconisS #algorithm #question: What do we know about the Metropolis algorithm? (PD, LSC), pp. 112–129.
STOC-1995-HenzingerKPV #automaton #decidability #hybrid #question: What’s decidable about hybrid automata? (TAH, PWK, AP, PV), pp. 373–382.
CHI-1994-WhittakerFD94a #communication #how #question: Informal workplace communication: what is it like and how might we support it? (SW, DF, ODJ), pp. 131–137.
TRI-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.
ICSE-1994-BrodmanJ #case study #experience: What Small Business and Small Organizations Say About the CMM: Experience Report (JGB, DLJ), pp. 331–340.
CADE-1994-Platek #proving #question: What is a Proof? (RP), p. 431.
SIGMOD-1993-Egenhofer #database #navigation #requirements: What’s Special about Spatial? Database Requirements for Vehicle Navigation in Geographic Space (MJE), pp. 398–402.
CSM-1993-Caldiera #maintenance #standard: Standards for Software Maintenance — What We Have and What We Need (GC), p. 103.
ICALP-1993-KannegantiC #higher-order #programming language #question: What is a Universal Higher-Order Programming Language? (RK, RC), pp. 682–695.
INTERCHI-1993-HerbslebK #design: Preserving knowledge in design projects: what designers need to know (JDH, EK), pp. 7–14.
TRI-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.
RE-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.
STOC-1993-NaorS #question: What can be computed locally? (MN, LJS), pp. 184–193.
SIGMOD-1992-Rosenthal: What Can We Do to Strengthen the Connection Between Theory and System Builders (AR), p. 101.
ICALP-1992-HenzingerMP #question: What Good Are Digital Clocks? (TAH, ZM, AP), pp. 545–558.
KR-1992-Reiter #reasoning #research: Twelve Years of Nonmonotonic Reasoning Research: Where (and What) Is the Beef (RR), p. 789.
OOPSLA-1992-LiuGG #learning #object-oriented #question: What Contributes to Successful Object-Oriented Learning? (CL, SG, BG), pp. 77–86.
TOOLS-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.
TRI-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.
HT-1991-ThuringHH #how: What’s Eliza Doing in the Chinese Room? Incoherent Hyperdocuments — and How to Avoid Them (MT, JMH, JH), pp. 161–177.
SEI-1991-RiedlWFKM #re-engineering: What We Have Learned About Software Engineering Expertise (TRR, JSW, JTF, GAK, JDM), pp. 261–270.
FPCA-1991-FrandsenS #implementation #performance #question #λ-calculus: What is an Efficient Implementation of the λ-calculus? (GSF, CS), pp. 289–312.
ECOOP-1991-PalsbergS #question #reuse #type safety: What is Type-Safe Code Reuse? (JP, MIS), pp. 325–341.
KBSE-1991-Sasso91a #question: Encouraging the Adoption of KBSE Technology: What Needs to Happen First? (WCS), pp. 237–238.
CHI-1990-CushmanOD #performance #question #requirements: Usable OCR: what are the minimum performance requirements? (WHC, PSO, CMD), pp. 145–152.
CHI-1990-Jacob #eye tracking #interactive: What you look at is what you get: eye movement-based interaction techniques (RJKJ), pp. 11–18.
CHI-1990-Winograd #education #human-computer #interactive: What can we teach about human-computer interaction? (plenary address) (TW), pp. 443–448.
CSCW-1990-MaloneC #coordination #design #how #question: What is Coordination Theory and How Can It Help Design Cooperative Work Systems? (TWM, KC), pp. 357–370.
SEKE-1990-VolovikMT #re-engineering: What Software Engineering Can Learn From Practitioners (DV, RM, WTT), pp. 216–221.
OOPSLA-ECOOP-1990-BockerH: What Tracers Are Made Of (HDB, JH), pp. 89–99.
CLP-1990-Reiter90 #database #question: What Should a Database Know? (RR), p. 765.
HT-1989-HalaszMMPS #named: Confessions — What’s Wrong with Our Systems (FGH, DLM, NKM, AP, BS), p. 399.
HT-1989-Lesk: What To Do When There’s Too Much Information (ML), pp. 305–318.
CHI-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.
CHI-1989-Moran #question: What is EuroParc? (TPM), pp. 51–52.
KR-1989-Lehmann #knowledge base #question: What Does a Conditional Knowledge Base Entail? (DJL), pp. 212–222.
KR-1989-Poole #reasoning: What the Lottery Paradox Tells Us About Default Reasoning (DP), pp. 333–340.
ML-1989-RuffD #question: What Good Are Experiments? (RAR, TGD), pp. 109–112.
ML-1989-VanLehn #problem: Discovering Problem Solving Strategies: What Humans Do and Machines Don’t (Yet) (KV), pp. 215–217.
ICSE-1989-Boehm #generative #process: What We Really Need Are Process Model Generators (BWB), p. 397.
PODS-1988-Reiter #database #question: What Should A Database Know? (RR), pp. 302–304.
SEI-1988-Werth #how #tool support #why: Software Tools at the University: Why, What and How (LHW), pp. 169–186.
ECOOP-1988-MadsenM #object-oriented #programming: What Object-Oriented Programming May Be — and What It Does Not Have To Be (OLM, BMP), pp. 1–20.
ECOOP-1988-WegnerZ #incremental #inheritance: Inheritance as an Incremental Modification Mechanism or What Like Is and Isn’t Like (PW, SBZ), pp. 55–77.
HCI-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.
HCI-CE-1987-Soloway #specification: I Can’t Tell What in the Code Implements What in the Specs (ES), pp. 317–328.
ECOOP-1987-Stroustrup #object-oriented #programming: What is “Object-Oriented Programming?” (BS), pp. 51–70.
CADE-1986-Eisinger #graph: What You Always Wanted to Know About Clause Graph Resolution (NE), pp. 316–336.
POPL-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.
DAC-1985-KowalskiT #automation #design #knowledge base: The VLSI design automation assistant: what’s in a knowledge base (TJK, DET), pp. 252–258.
POPL-1984-HalpernMT #question #semantics: The Semantics of Local Storage, or What Makes the Free-List Free? (JYH, ARM, BAT), pp. 245–257.
ICSE-1984-MaibaumT #on the: On What Exactly Is Going On When Software Is Developed Step-by-Step (TSEM, WMT), pp. 528–533.
DAC-1984-Smith #layout #tool support: Basic turorial layout tools — what really is there (RS), p. 219.
SIGIR-1982-Henrichs #information retrieval #question: The Growing Crisis of Traditional Information Retrieval Systems — What is to Follow? (NH), pp. 1–12.
ILPC-1982-Kurokawa82 #logic programming #re-engineering: Logic Programming — What Does it Bring to the Software Engineering (TK), pp. 134–138.
DAC-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.
VLDB-1980-BernsteinG #normalisation #question: What does Boyce-Codd Normal Form Do? (PAB, NG), pp. 245–259.
DAC-1980-Armstrong: A CAD user’s perspective what gets done right wrong and not at all (RAA), p. 517.
VLDB-1978-BrodieS #data type #question: What is the Use of Abstract Data Types? (MLB, JWS), pp. 140–141.
VLDB-1978-Johnson #question: What End-User Facilities do we Need? (FEJ), p. 126.
VLDB-1978-Sharman #metamodelling #question #semantics: What is a “Good” Semantic or Meta Model? (GS), p. 138.