BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
do (110)
about (67)
softwar (58)
can (52)
know (51)

Stem what$ (all stems)

611 papers:

DACDAC-2015-WolfF #architecture #continuation #question #what
What don’t we know about CPS architectures? (MW, EF), p. 4.
DocEngDocEng-2015-AtenciaDG #linked data #open data #question #what
What Is This Thing Called Linked Data? (MA, JD, PG), pp. 233–234.
DocEngDocEng-2015-Paoli #documentation #what
Documents as Data, Data as Documents: What we learned about Semi-Structured Information for our Open World of Cloud & Devices (JP), p. 1.
SIGMODSIGMOD-2015-CSKZYRPAKDRD #big data #industrial #what #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.
FASEFASE-2015-CzechJW #exclamation #verification #what
Just Test What You Cannot Verify! (MC, MCJ, HW), pp. 100–114.
ICPCICPC-2015-MinelliML #developer #how #what
I know what you did last summer: an investigation of how developers spend their time (RM, AM, ML), pp. 25–35.
ICSMEICSME-2015-KhadkaSKSHJDB #analysis #case study #legacy #what
Does software modernization deliver what it aimed for? A post modernization analysis of five software modernization case studies (RK, PS, BK, AS, JH, SJ, EvD, MB), pp. 477–486.
ICSMEICSME-2015-SharmaTL #question #re-engineering #twitter #what
What’s hot in software engineering Twitter space? (AS, YT, DL), pp. 541–545.
ICSMEICSME-2015-TianNLH #android #case study #what
What are the characteristics of high-rated apps? A case study on free Android Applications (YT, MN, DL, AEH), pp. 301–310.
MSRMSR-2015-WangPWG #comprehension #git #what
What Is the Gist? Understanding the Use of Public Gists on GitHub (WW, GPC, EW, DMG), pp. 314–323.
SANERSANER-2015-Mirakhorli #architecture #how #question #re-engineering #what #why
Software architecture reconstruction: Why? What? How? (MM), p. 595.
ICALPICALP-v1-2015-BienvenuDS #question #source code #what
What Percentage of Programs Halt? (LB, DD, AS), pp. 219–230.
CHICHI-2015-AbbarMW #twitter #what
You Tweet What You Eat: Studying Food Consumption Through Twitter (SA, YM, IW), pp. 3197–3206.
CHICHI-2015-AmmariKLS #how #online #what
Managing Children’s Online Identities: How Parents Decide what to Disclose about their Children Online (TA, PK, CL, SYS), pp. 1895–1904.
CHICHI-2015-BorstTR #problem #what
What Makes Interruptions Disruptive?: A Process-Model Account of the Effects of the Problem State Bottleneck on Task Interruption and Resumption (JPB, NAT, HvR), pp. 2971–2980.
CHICHI-2015-CramerJ #communication #question #what #why
Couples’ Communication Channels: What, When & Why? (HC, MLJ), pp. 709–712.
CHICHI-2015-GanglbauerFG #what #why
Why and what did we throw out?: Probing on Reflection through the Food Waste Diary (EG, GF, FG), pp. 1105–1114.
CHICHI-2015-GruningBO #question #what
Medium, Access, and Obsolescence: What Kinds of Objects are Lasting Objects? (JG, JB, MO), pp. 3433–3442.
CHICHI-2015-HangLH #authentication #exclamation #security #smarttech #what
I Know What You Did Last Week! Do You?: Dynamic Security Questions for Fallback Authentication on Smartphones (AH, ADL, HH), pp. 1383–1392.
CHICHI-2015-LapidesCCG #question #what
News Feed: What’s in it for Me? (PL, AC, MSTC, SG), pp. 163–172.
CHICHI-2015-MudliarR #gender #online
Offline Strangers, Online Friends: Bridging Classroom Gender Segregation with WhatsApp (PM, NR), pp. 3799–3808.
CHICHI-2015-PanS #human-computer #question #what
What if HCI Becomes a Fashion Driven Discipline? (YP, ES), pp. 2565–2568.
CHICHI-2015-ZhangAK #how #question #what #why
Mailing Lists: Why Are They Still Here, What’s Wrong With Them, and How Can We Fix Them? (AXZ, MSA, DRK), pp. 4009–4018.
CSCWCSCW-2015-Anya #design #exclamation #question #what
Bridge the Gap!: What Can Work Design in Crowdwork Learn from Work Design Theories? (OA), pp. 612–627.
CSCWCSCW-2015-MatthewsMCMHB #community #what
They Said What?: Exploring the Relationship Between Language Use and Member Satisfaction in Communities (TM, JUM, JC, MM, EMH, HB), pp. 819–825.
CSCWCSCW-2015-OlteanuVC #social #social media #what
What to Expect When the Unexpected Happens: Social Media Communications Across Crises (AO, SV, CC), pp. 994–1009.
CSCWCSCW-2015-TrainerCKH #community #question #what
From Personal Tool to Community Resource: What’s the Extra Work and Who Will Do It? (EHT, CC, AK, JDH), pp. 417–430.
HCIDUXU-DD-2015-HertleinHVSW #human-computer #usability #what
Practice What We Preach — Checking the Usability of HCI Conference Websites (FH, BH, MV, TS, CW), pp. 295–305.
HCIDUXU-IXD-2015-CookBGK #quote #what
“Keep What You’ve Earned”: Encouraging Sailors to Drink Responsibly (KC, EB, CG, TK), pp. 575–586.
HCIDUXU-IXD-2015-LinC15a #what
What Travelers Want: An Investigation into User Needs and User Wants on Display (TSL, CNC), pp. 496–504.
HCIDUXU-IXD-2015-WalterKWAB #adaptation #question #recommendation #what
What Are the Expectations of Users of an Adaptive Recommendation Service Which Aims to Reduce Driver Distraction? (NW, BK, CW, TA, KB), pp. 517–528.
HCIHCI-DE-2015-BevanCH #question #usability #what
ISO 9241-11 Revised: What Have We Learnt About Usability Since 1998? (NB, JC, SH), pp. 143–151.
HCIHCI-DE-2015-ChamunZMOS #approach #design #documentation #what
What About Document Folding? User Impressions and a Design Approach (RC, AdCAZ, IHM, JBSdO, MSS), pp. 307–319.
HCIHCI-IT-2015-JeongS #case study #how #smarttech #user interface #what
It’s not What It Speaks, but It’s How It Speaks: A Study into Smartphone Voice-User Interfaces (VUI) (JJ, DHS), pp. 284–291.
HCIHCI-UC-2015-ClarkeBK #experience #question #using #what
What Learnability Issues Do Primary Care Physicians Experience When Using CPOE? (MAC, JLB, MSK), pp. 373–383.
HCIHIMI-IKC-2015-AhangamaP15a #empirical #what
What Methodological Attributes Are Essential for Novice Users to Analytics? — An Empirical Study (SA, DCCP), pp. 77–88.
HCIHIMI-IKC-2015-BrunsVGZS #personalisation #recommendation #visual notation #what
What Should I Read Next? A Personalized Visual Publication Recommender System (SB, ACV, CG, MZ, US), pp. 89–100.
HCIHIMI-IKC-2015-GotzeB #comparison #what
Urban Driving: Where to Present What Types of Information — Comparison of Head-Down and Head-Up Displays (MG, KB), pp. 190–200.
HCIHIMI-IKD-2015-GareauKW #documentation #effectiveness #question #visualisation #what
An Exploration of the Effectiveness of Infographics in Contrast to Text Documents for Visualizing Census Data: What Works? (MG, RK, LW), pp. 161–171.
HCILCT-2015-ValdezBGSZ #complexity #visualisation #what
What Do My Colleagues Know? Dealing with Cognitive Complexity in Organizations Through Visualizations (ACV, SB, CG, US, MZ), pp. 449–459.
ICEISICEIS-v1-2015-AlmeidaHC #multi #question #what
What if Multiusers Wish to Reconcile Their Data? (DSdA, CSH, CDdAC), pp. 184–195.
ICEISICEIS-v2-2015-DutraPC #development #performance #question #what
What Are the Main Characteristics of High Performance Teams for Software Development? (ACSD, RP, TC), pp. 145–152.
KDDKDD-2015-Koller #named #question #what
MOOCS: What Have We Learned? (DK), p. 3.
SIGIRSIGIR-2015-Hawking #question #what
If SIGIR had an Academic Track, What Would Be In It? (DH), p. 1077.
AMTAMT-2015-SalayZC #question #reuse #what
Transformation Reuse: What is the Intent? (RS, SZ, MC), pp. 7–15.
POPLPOPL-2015-VafeiadisBCMN #compilation #memory management #optimisation #what
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.
SACSAC-2015-SakuraiM #debugging #object-oriented #source code
The omission finder for debugging what-should-have-happened bugs in object-oriented programs (KS, HM), pp. 1962–1969.
ESEC-FSEESEC-FSE-2015-GuJSZL #concurrent #thread #what
What change history tells us about thread synchronization (RG, GJ, LS, LZ, SL), pp. 426–438.
ICSEICSE-v1-2015-GaoLCMW #interactive #question #testing #what
Making System User Interactive Tests Repeatable: When and What Should We Control? (ZG, YL, MBC, AMM, ZW), pp. 55–65.
ICSEICSE-v1-2015-LiKZ #question #what
What Makes a Great Software Engineer? (PLL, AJK, JZ), pp. 700–710.
ICSEICSE-v2-2015-PetersM #re-engineering #what
Educating Software Engineering Managers — Revisited What Software Project Managers Need to Know Today (LP, AMM), pp. 353–359.
PLEASEPLEASE-2015-ChitchyanNG #product line #re-engineering #what
What Can Software Engineering Do for Sustainability: Case of Software Product Lines (RC, JN, IG), pp. 11–14.
SPLCSPLC-2015-BergerLRGS0CC #industrial #product line #what
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.
CSLCSL-2015-Klein0 #game studies #lookahead #what
What are Strategies in Delay Games? Borel Determinacy for Games with Lookahead (FK, MZ), pp. 519–533.
WICSAWICSA-2014-CostaPDM #architecture #question #rest #what
Evaluating a Representational State Transfer (REST) Architecture: What is the Impact of REST in My Architecture? (BC, PFP, FCD, PM), pp. 105–114.
DocEngDocEng-2014-FranzeMW #what
What academics want when reading digitally (JF, KM, MW), pp. 199–202.
DocEngDocEng-2014-HailpernVD #how #named #what
Pagination: it’s what you say, not how long it takes to say it (JMH, NDV, MD), pp. 147–156.
PODSPODS-2014-Libkin #how #semistructured data #what
Incomplete data: what went wrong, and how to fix it (LL), pp. 1–13.
VLDBVLDB-2014-MottinLVP #query #what
Exemplar Queries: Give me an Example of What You Need (DM, ML, YV, TP), pp. 365–376.
ITiCSEITiCSE-2014-EricssonW #mining #what
Mining job ads to find what skills are sought after from an employers’ perspective on IT graduates (ME, AW), p. 354.
ICPCICPC-2014-StefikHMAYS #design #empirical #programming language #what
What is the Foundation of Evidence of Human Factors Decisions in Language Design? An Empirical Study on Programming Language Workshops (AS, SH, MM, AAA, SKY, SS), pp. 223–231.
ICSMEICSME-2014-KononenkoZG #compilation #question #what
Compiling Clones: What Happens? (OK, CZ, MWG), pp. 481–485.
PLDIPLDI-2014-Palem #question #what
What exactly is inexact computation good for? (KVP), p. 1.
CHICHI-2014-AhmaniemiKH #gesture #question #what
What is a device bend gesture really good for? (TTA, JK, MH), pp. 3503–3512.
CHICHI-2014-BensonK #how #web #what #why
End-users publishing structured information on the web: an observational study of what, why, and how (EB, DRK), pp. 1265–1274.
CHICHI-2014-BrumbyCCF #behaviour #how #question #visual notation #what
How does knowing what you are looking for change visual search behavior? (DPB, ALC, JC, BF), pp. 3895–3898.
CHICHI-2014-Gilbert #performance #social #what
What if we ask a different question?: social inferences create product ratings faster (EG), pp. 2759–2762.
CHICHI-2014-HsiehCMN #comprehension #what
You read what you value: understanding personal values and reading interests (GH, JC, JM, JN), pp. 983–986.
CHICHI-2014-MasseyTTW #file system #question #what
PIM and personality: what do our personal file systems say about us? (CM, ST, CT, SW), pp. 3695–3704.
CHICHI-2014-MatthewsCWPZBS #community #enterprise #online #question #what
Goals and perceived success of online enterprise communities: what is important to leaders & members? (TM, JC, SW, AP, HZ, HB, BAS), pp. 291–300.
CHICHI-2014-NorvalAH #network #recommendation #social #what
What’s on your mind?: investigating recommendations for inclusive social networking and older adults (CN, JLA, VLH), pp. 3923–3932.
CHICHI-2014-TewariC #game studies #what
What did spot hide?: a question-answering game for preschool children (AT, JC), pp. 1807–1816.
CSCWCSCW-2014-ForteDMA #network #online #social #student #what
What do teens ask their online social networks?: social search practices among high school students (AF, MD, RMM, DEA), pp. 28–37.
CSCWCSCW-2014-OHaraMHRM
Everyday dwelling with WhatsApp (KO, MM, RHRH, SR, JM), pp. 1131–1143.
CSCWCSCW-2014-QuerciaOC #question #what
Aesthetic capital: what makes london look beautiful, quiet, and happy? (DQ, NKO, HC), pp. 945–955.
HCIDUXU-DI-2014-Hellweg #development #education #future of #game studies #what
Wanting the Unwanted — What Games Can Teach Us about the Future of Software Development (DH), pp. 711–719.
HCIDUXU-DI-2014-ShafiqICRAAR #analysis #case study #learning #smarttech #usability #user satisfaction #what
To What Extent System Usability Effects User Satisfaction: A Case Study of Smart Phone Features Analysis for Learning of Novice (MS, MI, JGC, ZR, MA, WA, SR), pp. 346–357.
HCIDUXU-ELAS-2014-DysonJ #interface #question #what
Examining the Interfaces to E-journal Articles: What Do Users Expect? (MCD, EMJ), pp. 164–172.
HCIHCI-AIMT-2014-RouxelPAC #gesture #what
What You Draw Is What You Search: The Analog Gesture (BR, FP, JYA, GC), pp. 139–147.
HCIHCI-AS-2014-KimC #what
The Gap between What a Service Provider Shows Off and What Users Really Watch (DK, JC), pp. 710–720.
HCIHCI-TMT-2014-SiliMMGP #automation #generative #question #user interface #what
A Practical Solution for the Automatic Generation of User Interfaces — What Are the Benefits of a Practical Solution for the Automatic Generation of User Interfaces? (MS, CCM, MM, MG, MP), pp. 445–456.
HCILCT-TRE-2014-LoureiroSBR #collaboration #question #what
Collaboration, Knowledge Sharing and Digital Environments: What about Argumentation and Questioning Skills? (MJ(L, FNdS, AB, AR), pp. 440–449.
HCISCSM-2014-SobierajK #communication #what
What Is Beautiful in Cyberspace? Communication with Attractive Avatars (SS, NCK), pp. 125–136.
HCISCSM-2014-TurnerH #network #social #what
What Does Your Profile Picture Say About You? The Accuracy of Thin-Slice Personality Judgments from Social Networking Sites Made at Zero-Acquaintance (MT, NH), pp. 506–516.
CAiSECAiSE-2014-EpureHDB #flexibility #mining #process #what
What Shall I Do Next? — Intention Mining for Flexible Process Enactment (EVE, CH, RD, SB), pp. 473–487.
ICEISICEIS-v1-2014-KahkonenMS #enterprise #integration #scalability #what
What Are the Factors Affecting ERP System Integration? — Observations from a Large Manufacturing Enterprise (TK, AM, KS), pp. 5–17.
CIKMCIKM-2014-Deolalikar14b #clustering #documentation #what
What is the Shape of a Cluster?: Structural Comparisons of Document Clusters (VD), pp. 1927–1930.
CIKMCIKM-2014-LiWH #twitter #what
What a Nasty Day: Exploring Mood-Weather Relationship from Twitter (JL, XW, EHH), pp. 1309–1318.
CIKMCIKM-2014-QuattroneNKT #what
Tell Me What You Want and I Will Tell Others Where You Have Been (AQ, EN, LK, ET), pp. 1783–1786.
ICPRICPR-2014-Al-HalahRS #learning #metric #semantics #similarity #what
What to Transfer? High-Level Semantics in Transfer Metric Learning for Action Similarity (ZAH, LR, RS), pp. 2775–2780.
KDDKDD-2014-ZhaoGHJWL #microblog #recommendation #what
We know what you want to buy: a demographic-based system for product recommendation on microblogs (WXZ, YG, YH, HJ, YW, XL), pp. 1935–1944.
KEODKEOD-2014-Aalst #mining #people #process #what
No Knowledge Without Processes — Process Mining as a Tool to Find Out What People and Organizations Really Do (WMPvdA), pp. 1–11.
KMISKMIS-2014-ToureMM14a #information management #modelling #towards #what
What If We Considered Awareness for Sustainable Knowledge Management? Towards a Model for Self Regulated Knowledge Management Systems Based on Acceptance Models of Technologies and Awareness (CET, CM, JCM), pp. 413–418.
RecSysRecSys-2014-LiuWW #what
Tell me where to go and what to do next, but do not bother me (HL, GW, GW), pp. 375–376.
SIGIRSIGIR-2014-NiuLGCG #data analysis #learning #rank #robust #what
What makes data robust: a data analysis in learning to rank (SN, YL, JG, XC, XG), pp. 1191–1194.
MODELSMoDELS-2014-ReggioLR #bibliography #uml #what
Who Knows/Uses What of the UML: A Personal Opinion Survey (GR, ML, FR), pp. 149–165.
MODELSMoDELS-2014-ReggioLR #bibliography #uml #what
Who Knows/Uses What of the UML: A Personal Opinion Survey (GR, ML, FR), pp. 149–165.
SACSAC-2014-VasconcelosAG #code review #predict #what
What makes your opinion popular?: predicting the popularity of micro-reviews in foursquare (MAV, JMA, MAG), pp. 598–603.
FSEFSE-2014-Jorgensen #question #re-engineering #what
Ten years with evidence-based software engineering. What is it? Has it had any impact? What’s next? (MJ), p. 3.
SPLCSPLC-2014-Hubaux #product line #research #what
What research in software product line engineering is not solving in configuration (AH), p. 19.
PPoPPPPoPP-2014-Rubin #compilation #question #research #what
Heterogeneous computing: what does it mean for compiler research? (NR), pp. 315–316.
ICTSSICTSS-2014-Deak #bibliography #testing #what
What Characterizes a Good Software Tester? — A Survey in Four Norwegian Companies (AD), pp. 161–172.
DATEDATE-2013-Vigouroux #design #question #what
What designs for coming supercomputers? (XV), p. 469.
DRRDRR-2013-Smith #what
History of the Tesseract OCR engine: what worked and what didn’t (RWS).
HTHT-2013-GuerreiroG #exclamation #quote #what
“Tell me what I want to know!”: the effect of relationship closeness on the relevance of profile attributes (JG, DG), pp. 230–235.
ICDARICDAR-2013-Newell #identification #question #what
What Should We Be Comparing for Writer Identification? (AJN), pp. 418–422.
SIGMODSIGMOD-2013-MullerKLM #named #what
WOW: what the world of (data) warehousing can learn from the World of Warcraft (RM, TK, GML, JM), pp. 961–964.
VLDBVLDB-2013-ChirkovaY #question #what
Big and Useful: What’s in the Data for Me? (RC, JY), pp. 1390–1391.
CSEETCSEET-2013-ChimalakondaN #adaptation #education #learning #personalisation #re-engineering #what
What makes it hard to teach software engineering to end users? some directions from adaptive and personalized learning (SC, KVN), pp. 324–328.
CSEETCSEET-2013-Vallino #question #re-engineering #student #what
What should students learn in their first (and often only) software engineering course? (JV), pp. 335–337.
CSMRCSMR-2013-AnicheOG #case study #industrial #open source #quality #testing #what
What Do the Asserts in a Unit Test Tell Us about Code Quality? A Study on Open Source and Industrial Projects (MFA, GAO, MAG), pp. 111–120.
MSRMSR-2013-AllamanisS #stack overflow #topic #what #why
Why, when, and what: analyzing stack overflow questions by topic, type, and code (MA, CAS), pp. 53–56.
MSRMSR-2013-HamasakiKYCFI #bibliography #code review #dataset #repository #what
Who does what during a code review? datasets of OSS peer review repositories (KH, RGK, NY, AECC, KF, HI), pp. 49–52.
MSRMSR-2013-Murphy #development #what
What is software development productivity, anyway? (keynote) (GCM), p. 1.
MSRMSR-2013-NadiDTHL #how #linux #question #variability #what
Linux variability anomalies: what causes them and how do they get fixed? (SN, CD, RT, RCH, DL), pp. 111–120.
WCREWCRE-2013-LiXPZ #developer #how #question #what
What help do developers seek, when and how? (HL, ZX, XP, WZ), pp. 142–151.
CHICHI-2013-BardzellB #design #question #what
What is “critical” about critical design? (JB, SB), pp. 3297–3306.
CHICHI-2013-GrahamSPBD #architecture #distributed #game studies #what
Villains, architects and micro-managers: what tabula rasa teaches us about game orchestration (TCNG, IS, MP, QB, RD), pp. 705–714.
CHICHI-2013-JacobsBSGPG #what
A conversation between trees: what data feels like in the forest (RJ, SB, MS, MG, DP, GG), pp. 129–138.
CHICHI-2013-KhovanskayaBCVG #approach #design #quote #what
“Everybody knows what you’re doing”: a critical design approach to personal informatics (VDK, EPSB, DC, SV, GG), pp. 3403–3412.
CHICHI-2013-KukkaOKGO #interactive #visual notation #what
What makes you click: exploring visual signals to entice interaction on public displays (HK, HO, VK, JG, TO), pp. 1699–1708.
CHICHI-2013-PaneelsOBC #exclamation #usability #what
Listen to it yourself!: evaluating usability of what’s around me? for the blind (SAP, AO, JRB, JRC), pp. 2107–2116.
CHICHI-2013-ParkerMGACJM #health #online #what
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.
CHICHI-2013-PiorkowskiFKBSBJ
The whats and hows of programmers’ foraging diets (DP, SDF, IK, MMB, CS, RKEB, JJ), pp. 3063–3072.
CSCWCSCW-2013-HarperLTBGSOW #question #what
What is a file? (RHRH, SEL, ET, RB, PG, GS, WO, EW), pp. 1125–1136.
CSCWCSCW-2013-HemphillOS #question #twitter #what
What’s congress doing on twitter? (LH, JO, MS), pp. 877–886.
CSCWCSCW-2013-PageKK #social #social media #web #what
What a tangled web we weave: lying backfires in location-sharing social media (XP, BPK, AK), pp. 273–284.
CSCWCSCW-2013-PanLCL #process #social #what
To answer or not: what non-qa social activities can tell (YP, LL, CYC, QL), pp. 1253–1263.
HCIDHM-SET-2013-SaparovaBLKMY #health #how #information management #problem #question #usability #what
Usability Problems in Patient- and Clinician-Oriented Health Information Systems: What Are They and How Do They Differ? (DS, JB, YL, FK, YM, BY), pp. 276–285.
HCIDUXU-PMT-2013-Matthiessen #design #education #experience #industrial #interactive #what
Interactive Design and the Human Experience: What Can Industrial Design Teach Us (NM), pp. 100–106.
HCIHIMI-HSM-2013-CastronovoMM #interface #what
What, Where, and When? Intelligent Presentation Management for Automotive Human Machine Interfaces and Its Application (SC, AM, CAM), pp. 460–469.
HCIHIMI-HSM-2013-MoodyW #mobile #security #what
Security, But at What Cost? — An Examination of Security Notifications within a Mobile Application (GM, DW), pp. 391–399.
HCIOCSC-2013-SaY #motivation #people #social #what
What Motivates People Use Social Tagging (NS, XY), pp. 86–93.
ICEISICEIS-J-2013-KahkonenMS #enterprise #integration #question #what
What Do We Know About ERP Integration? (TK, AM, KS), pp. 51–67.
ICEISICEIS-v3-2013-BuchdidB #human-computer #what #word
HCI in Context — What the Words Reveal about It (SBB, MCCB), pp. 134–142.
CIKMCIKM-2013-KamathC #learning #predict #what
Spatio-temporal meme prediction: learning what hashtags will be popular where (KYK, JC), pp. 1341–1350.
CIKMCIKM-2013-MoffatTS #effectiveness #metric #modelling #what
Users versus models: what observation tells us about effectiveness metrics (AM, PT, FS), pp. 659–668.
KDDKDD-2013-YuanCMSM #topic #twitter #what
Who, where, when and what: discover spatio-temporal topics for twitter users (QY, GC, ZM, AS, NMT), pp. 605–613.
KDIRKDIR-KMIS-2013-GirdauskieneS #what
Assessing Environmental Dimensions for Creativity and Knowledge Creation — What Features of Task, Group and Time do make an Impact on Creativity and Knowledge Creation in a Creative Organization (LG, AS), pp. 532–538.
RecSysRecSys-2013-BabasCT #personalisation #recommendation #what
You are what you consume: a bayesian method for personalized recommendations (KB, GC, ET), pp. 221–228.
RecSysRecSys-2013-PeraN #personalisation #recommendation #what
What to read next?: making personalized book recommendations for K-12 users (MSP, YKN), pp. 113–120.
SEKESEKE-2013-BurnayJF #matter #problem #requirements #what #why
Context Factors: What they are and why they matter for Requirements Problems (CB, IJ, SF), pp. 30–35.
SIGIRSIGIR-2013-McCreadieMO #what
News vertical search: when and what to display to users (RM, CM, IO), pp. 253–262.
SIGIRSIGIR-2013-Rodriguez-VaamondeTF #documentation #image #using #web #what
What can pictures tell us about web pages?: improving document search using images (SRV, LT, AWF), pp. 849–852.
ECOOPECOOP-2013-TemperoYN #inheritance #java #what
What Programmers Do with Inheritance in Java (EDT, HYY, JN), pp. 577–601.
OnwardOnward-2013-RossoJ #analysis #concept #design #git #what
What’s wrong with git?: a conceptual design analysis (SPDR, DJ), pp. 37–52.
REER-BR-2013-Finkelstein #re-engineering #what
The Next 10 Years: the shape of software to come and what if means for software engineering (AF).
REFSQREFSQ-2013-DanevaBH #architecture #case study #experience #quality #question #requirements #what
Software Architects’ Experiences of Quality Requirements: What We Know and What We Do Not Know? (MD, LB, AH), pp. 1–17.
ICSEICSE-2013-PolikarpovaF0WM #question #specification #what
What good are strong specifications? (NP, CAF, YP, YW, BM), pp. 262–271.
PLEASEPLEASE-2013-ChimalakondaN #education #product line #question #what
What makes it hard to apply software product lines to educational technologies? (SC, KVN), pp. 17–20.
SOSPSOSP-2013-ElphinstoneH #kernel #question #what
From L3 to seL4 what have we learnt in 20 years of L4 microkernels? (KE, GH), pp. 133–150.
CSLCSL-2013-ChatterjeeCT #decidability #markov #process #what
What is Decidable about Partially Observable Markov Decision Processes with ω-Regular Objectives (KC, MC, MT), pp. 165–180.
ASEASE-2012-ThungLLJRD #debugging #detection #empirical #fault #tool support #what
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.
CASECASE-2012-HoNNH #question #what
What can be inferred from a tactile arrayed sensor in autonomous in-hand manipulation? (VAH, TN, AN, SH), pp. 461–468.
DACDAC-2012-PalemA #exclamation #what
What to do about the end of Moore’s law, probably! (KVP, LA), pp. 924–929.
PODSPODS-2012-Chaudhuri #big data #data transformation #research #what
What next?: a half-dozen data management research goals for big data and the cloud (SC), pp. 1–4.
VLDBVLDB-2012-DasTADY #analysis #framework #what
Who Tags What? An Analysis Framework (MD, ST, SAY, GD, CY), pp. 1567–1578.
ITiCSEITiCSE-2012-FidotenS #bibliography #what
What do computer scientists do?: a survey of CS and non-CS liberal arts faculty (HF, JS), pp. 279–284.
ITiCSEITiCSE-2012-SharonK #student #what
Grade inflation, what students value, and the necessity of suffering (TS, PK), pp. 116–121.
ESOPESOP-2012-AtigBBM #decidability #memory management #modelling #question #what
What’s Decidable about Weak Memory Models? (MFA, AB, SB, MM), pp. 26–46.
ICSMEICSM-2012-NasehiSMB #case study #programming #stack overflow #what
What makes a good code example?: A study of programming Q&A in StackOverflow (SMN, JS, FM, CB), pp. 25–34.
ICSMEICSM-2012-ZhangPXZ #developer #what #why
Cloning practices: Why developers clone and what can be changed (GZ, XP, ZX, WZ), pp. 285–294.
ICSMEICSM-2012-ZouG #algorithm #automation #case study #detection #industrial #what #why
An industrial case study of Coman’s automated task detection algorithm: What Worked, What Didn’t, and Why (LZ, MWG), pp. 6–14.
MSRMSR-2012-BirdN #development #distributed #open source #scalability #what
Who? Where? What? Examining distributed development in two large open source projects (CB, NN), pp. 237–246.
MSRMSR-2012-TianALLL #community #microblog #question #re-engineering #what
What does software engineering community microblog about? (YT, PA, INL, DL, EPL), pp. 247–250.
SCAMSCAM-2012-VinjuG #complexity #control flow #metric #what
What Does Control Flow Really Look Like? Eyeballing the Cyclomatic Complexity Metric (JJV, MWG), pp. 154–163.
WCREWCRE-2012-CleveH #question #what
What Do Foreign Keys Actually Mean? (AC, JLH), pp. 299–307.
FMFM-2012-Wassyng #question #what
Who Are We, and What Are We Doing Here? (AW), pp. 7–9.
CHICHI-2012-FitchettC #named #predict #what
AccessRank: predicting what users will do next (SF, AC), pp. 2239–2242.
CHICHI-2012-Gaver #design #question #research #what
What should we expect from research through design? (WWG), pp. 937–946.
CHICHI-2012-KripleanTMBK #web #what
Is this what you meant?: promoting listening on the web with reflect (TK, MT, JTM, AB, AK), pp. 1559–1568.
CHICHI-2012-PetrieP #comparison #interactive #problem #usability #what
What do users really care about?: a comparison of usability problems found by users and experts on highly interactive websites (HP, CP), pp. 2107–2116.
CSCWCSCW-2012-Baba #question #what
Science, technology and society revisited: what is happening to anthropology and ethnography? (MLB), pp. 5–6.
CSCWCSCW-2012-FugelstadDMKMTS #community #online #predict #what
What makes users rate (share, tag, edit...)?: predicting patterns of participation in online communities (PF, PD, JFM, JK, CAM, LGT, MS), pp. 969–978.
CSCWCSCW-2012-Nagar #community #online #process #what
What do you think?: the structuring of an online community as a collective-sensemaking process (YN), pp. 393–402.
CSCWCSCW-2012-XuB #case study #community #interactive #online #scalability #what
What do you think?: a case study of benefit, expectation, and interaction in a large online critique community (AX, BPB), pp. 295–304.
CIKMCIKM-2012-BiyaniCSM #exclamation #online #thread #what
I want what i need!: analyzing subjectivity of online forum threads (PB, CC, AS, PM), pp. 2495–2498.
CIKMCIKM-2012-Diaz-AvilesDGSN #online #recommendation #topic #twitter #what
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter (EDA, LD, ZG, LST, WN), pp. 1592–1596.
CIKMCIKM-2012-MeccaPRS #data transformation #question #what
What is the IQ of your data transformation system? (GM, PP, SR, DS), pp. 872–881.
ICPRICPR-2012-Gao #what
What entropy tells about man-made structures (JG), pp. 250–253.
RecSysRecSys-2012-Lamere #question #what
I’ve got 10 million songs in my pocket: now what? (PL), pp. 207–208.
SIGIRSIGIR-2012-HongLYZZ #automation #novel #what
What reviews are satisfactory: novel features for automatic helpfulness voting (YH, JL, JMY, QZ, GZ), pp. 495–504.
SIGIRSIGIR-2012-Sakai #evaluation #information retrieval #mobile #towards #what
Towards zero-click mobile IR evaluation: knowing what and knowing when (TS), pp. 1157–1158.
MODELSMoDELS-2012-ArandaDB #modelling #question #what
Transition to Model-Driven Engineering — What Is Revolutionary, What Remains the Same? (JA, DD, AB), pp. 692–708.
MODELSMoDELS-2012-ArandaDB #modelling #question #what
Transition to Model-Driven Engineering — What Is Revolutionary, What Remains the Same? (JA, DD, AB), pp. 692–708.
RERE-2012-GrossD #exclamation #requirements #specification #what
What you need is what you get!: The vision of view-based requirements specifications (AG, JD), pp. 171–180.
RERE-2012-MaglyasNS #question #what
What do practitioners mean when they talk about product management? (AM, UN, KS), pp. 261–266.
SACSAC-2012-Zaytsev #bnf #what
BNF was here: what have we done about the unnecessary diversity of notation for syntactic definitions (VZ), pp. 1910–1915.
FSEFSE-2012-BirdZ #analysis #branch
Assessing the value of branches with what-if analysis (CB, TZ), p. 45.
ICSEICSE-2012-Braithwaite #how #industrial #programming #what
Software as an engineering material: How the affordances of programming have changed and what to do about it (Invited industrial talk) (KB), p. 998.
ICSEICSE-2012-BudgenDBH #education #question #what
What scope is there for adopting evidence-informed teaching in SE? (DB, SD, PB, NH), pp. 1205–1214.
ICSEICSE-2012-Wolff #architecture #industrial #what
Software architecture — What does it mean in industry? (Invited industrial talk) (EW), p. 999.
ICSEICSE-2012-ZhouM #community #what
What make long term contributors: Willingness and opportunity in OSS community (MZ, AM), pp. 518–528.
ICSTICST-2012-ChenLYS #question #testing #user interface #what
When a GUI Regression Test Failed, What Should be Blamed? (JC, ML, KY, BS), pp. 467–470.
ISSTAISSTA-2012-CoughlinCDS #source code #what
Measuring enforcement windows with symbolic trace interpretation: what well-behaved programs say (DC, BYEC, AD, JGS), pp. 276–286.
LICSLICS-2012-Levin #internet #what
Turing’s Password: What Internet Cannot Leak (LAL), p. 11.
VLDBVLDB-2011-HaasMST #modelling
Data is Dead... Without What-If Models (PJH, PPM, PGS, WCT), pp. 1486–1489.
VLDBVLDB-2011-HerodotouB #cost analysis #optimisation #pipes and filters #profiling #source code
Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs (HH, SB), pp. 1111–1122.
VLDBVLDB-2011-IdreosMKG #adaptation #in memory #what
Merging What’s Cracked, Cracking What’s Merged: Adaptive Indexing in Main-Memory Column-Stores (SI, SM, HAK, GG), pp. 585–597.
ITiCSEITiCSE-2011-AmbrosioM #education #matter #what
What matters most when teaching CS1 (APA, SWM), p. 385.
ITiCSEITiCSE-2011-Hu #what
Computational thinking: what it might mean and what we might do about it (CH), pp. 223–227.
FoSSaCSFoSSaCS-2011-AxelsenG #question #source code #what
What Do Reversible Programs Compute? (HBA, RG), pp. 42–56.
ICSMEICSM-2011-Kemmerer #how #what
How to steal a botnet and what can happen when you do (RAK), p. 1.
MSRMSR-2011-BernardiSZDP #question #topic #what
What topics do Firefox and Chrome contributors discuss? (MLB, CS, QZ, DD, MDP), pp. 234–237.
MSRMSR-2011-Whitehead #data mining #game studies #mining #what
Fantasy, farms, and freemium: what game data mining teaches us about retention, conversion, and virality (keynote abstract) (JW), p. 1.
SCAMSCAM-2011-SfayhiS #analysis #interactive #visualisation #what
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.
CHICHI-2011-JunuzovicIHZTB #bibliography #multimodal #using #what
What did i miss?: in-meeting review using multimodal accelerated instant replay (air) conferencing (SJ, KI, RH, ZZ, JCT, CB), pp. 513–522.
CHICHI-2011-MaratheS #question #what
What drives customization?: control or identity? (SM, SSS), pp. 781–790.
CHICHI-2011-ZadehBKC #challenge #design #what
What’s in a move?: normal disruption and a design challenge (RZ, ADB, SBK, JNC), pp. 2897–2906.
CSCWCSCW-2011-BalakrishnanKCZ #integration #matter #research #what #why
Research team integration: what it is and why it matters (ADB, SBK, JNC, RZ), pp. 523–532.
CSCWCSCW-2011-GergleC #collaboration #eye tracking #mobile #using #what
See what I’m saying?: using Dyadic Mobile Eye tracking to study collaborative reference (DG, ATC), pp. 435–444.
CSCWCSCW-2011-MinamikawaY #estimation #what
Blog tells what kind of personality you have: egogram estimation from Japanese weblog (AM, HY), pp. 217–220.
HCIDHM-2011-WelkePRJ #analysis #how #modelling #validation #what
What Is Human? How the Analysis of Brain Dynamics Can Help to Improve and Validate Driver Models (SW, JP, MR, TJ), pp. 513–522.
HCIDUXU-v1-2011-BedekarK #research #what
What Sustainability Brings to the Research Table (NB, SLK), pp. 363–367.
HCIDUXU-v1-2011-PrabhalaLG #people #question #what #word
Ethnography, Ethnography or Ethnography? What Happens When the Same Word Means Different Things to Different People? (SP, DL, SG), pp. 102–110.
HCIDUXU-v2-2011-Zeller #design #what
What You See Is What You Don’t Get: Addressing Implications of Information Technology through Design Fiction (LZ), pp. 329–336.
HCIHCI-ITE-2011-UllahLORM #case study #collaboration #distributed #interactive #what
What You Feel Is What I Do: A Study of Dynamic Haptic Interaction in Distributed Collaborative Virtual Environment (SU, XL, SO, PR, MM), pp. 140–147.
HCIHCI-MIIE-2011-WangZYZSP #what
Believe What You Hear, Not What You See — Vision Interferes with Auditory Route Guidance in Complex Environment (YW, HZ, LY, KZ, XS, TP), pp. 346–354.
HCIHCI-UA-2011-EverardJM #learning #question #student #what
Are MIS Students Learning What They Need to Land a Job? (AE, BMJ, SM), pp. 235–236.
HCIHCI-UA-2011-FangZ #game studies #question #what
Extraversion and Computer Game Play: Who Plays What Games? (XF, MZ), pp. 659–667.
HCIHCI-UA-2011-Furukawa #design #injection #question #what
What Label Design of Ampule for Injection, Do You Want? (HF), pp. 159–166.
HCIHIMI-v2-2011-ChellaliB #locality #question #what
What Maps and What Displays for Remote Situation Awareness and ROV Localization? (RC, KB), pp. 364–372.
HCIHIMI-v2-2011-TakadamaOSMOIHS #order #question #what
What Kinds of Human Negotiation Skill Can Be Acquired by Changing Negotiation Order of Bargaining Agents? (KT, AO, KS, HM, MO, YI, KH, HS), pp. 335–344.
HCIOCSC-2011-AhmadL11a #question #what
Interpreting User-Generated Content: What Makes a Blog Believeable? (RA, WGL), pp. 81–89.
CAiSECAiSE-2011-MohanA #comprehension #what
What Methodology Attributes Are Critical for Potential Users? Understanding the Effect of Human Needs (KM, FA), pp. 314–328.
CIKMCIKM-2011-AgrawalBA #information management #network #social #what
Information diffusion in social networks: observing and affecting what society cares about (DA, CB, AEA), pp. 2609–2610.
CIKMCIKM-2011-PandeyABHCRZ #behaviour #learning #what
Learning to target: what works for behavioral targeting (SP, MA, AB, AOH, PC, AR, MZ), pp. 1805–1814.
CIKMCIKM-2011-Pasca #query #using #web #what
Asking what no one has asked before: using phrase similarities to generate synthetic web search queries (MP), pp. 1347–1352.
CIKMCIKM-2011-TorresW #how #web #what
What and how children search on the web (SDT, IW), pp. 393–402.
ECIRECIR-2011-ElsweilerBR #case study #email #what
What Makes Re-finding Information Difficult? A Study of Email Re-finding (DE, MB, IR), pp. 568–579.
KDDKDD-2011-MampaeyTV #what
Tell me what i need to know: succinctly summarizing data with itemsets (MM, NT, JV), pp. 573–581.
KDIRKDIR-2011-NissanH #generative #information retrieval #what
Information Retrieval in the Service of Generating Narrative Explanation — What we Want from Gallura (EN, YHK), pp. 487–492.
KMISKMIS-2011-VirtaW #information management #what
Sharing What You Know, Building Expertise — Information Sharing between Generations in a Business Organization (MV, GW), pp. 129–135.
SIGIRSIGIR-2011-CuiWLOYS #predict #ranking #social #what
Who should share what?: item-level social influence prediction for users and posts ranking (PC, FW, SL, MO, SY, LS), pp. 185–194.
SIGIRSIGIR-2011-GossenLN #difference #web #what
What are the real differences of children’s and adults’ web search (TG, TL, AN), pp. 1115–1116.
SIGIRSIGIR-2011-ShouCCZMZ #cyber-physical #named
What-you-retrieve-is-what-you-see: a preliminary cyber-physical search engine (LS, KC, GC, CZ, YM, XZ), pp. 1273–1274.
SIGIRSIGIR-2011-ThomasJH #quality #what
What deliberately degrading search quality tells us about discount functions (PT, TJ, DH), pp. 1107–1108.
OnwardOnward-2011-Derk #perspective #programming language #what
What makes a programming language popular?: an essay from a historical perspective (MD), pp. 163–166.
OOPSLAOOPSLA-2011-SonMS #named #security #what
RoleCast: finding missing security checks when you do not know what checks are (SS, KSM, VS), pp. 1069–1084.
RERE-2011-Waldmann #agile #constraints #development #requirements #what
There’s never enough time: Doing requirements under resource constraints, and what requirements engineering can learn from agile development (BW), pp. 301–305.
RERE-2011-WeverM #analysis #effectiveness #question #what
What are the day-to-day factors that are preventing business analysts from effective business analysis? (AW, NAMM), pp. 293–298.
REFSQREFSQ-2011-BakalovaDHW #agile #requirements #what
Agile Requirements Prioritization: What Happens in Practice and What Is Described in Literature (ZB, MD, AH, RW), pp. 181–195.
CADECADE-2011-Ranta #logic #what
Translating between Language and Logic: What Is Easy and What Is Difficult (AR), pp. 5–25.
LICSLICS-2011-BresolinMSS #decidability #logic #what
What’s Decidable about Halpern and Shoham’s Interval Logic? The Maximal Fragment ABBL (DB, AM, PS, GS), pp. 387–396.
RTARTA-2011-Tison #automaton #constraints #question #similarity #term rewriting #what
Tree Automata, (Dis-)Equality Constraints and Term Rewriting: What’s New? (ST), pp. 1–2.
TLCATLCA-2011-Tison #automaton #constraints #question #similarity #term rewriting #what
Tree Automata, (Dis-)Equality Constraints and Term Rewriting — What’s New? (ST), pp. 3–5.
DACDAC-2010-GajskiAS #question #synthesis #what
What input-language is the best choice for high level synthesis (HLS)? (DG, TMA, SS), pp. 857–858.
DACDAC-2010-HarmsCDHUWY #design #experience #question #what
What will make your next design experience a much better one? (TH, JAC, RD, RAH, DU, GW, JY), p. 730.
DACDAC-2010-Hiskens #grid #question #smarttech #what
What’s smart about the smart grid? (IAH), pp. 937–939.
DACDAC-2010-NsBNPSGB #design #future of #power management #question #what
What’s cool for the future of ultra low power designs? (NN, JB, KN, VP, TS, AG, SB), pp. 523–524.
DATEDATE-2010-Cota #embedded #problem #question #testing #what
Embedded software testing: What kind of problem is this? (ÉFC), p. 1486.
VLDBVLDB-2010-AbadiCCGPR #database #question #what
Cloud Databases: What’s New? (DA, MJC, SC, HGM, JMP, RR), p. 1657.
ITiCSEITiCSE-2010-GurselG #student #what
What do promising high school students think about studying computing (DAG, BG), p. 325.
ITiCSEITiCSE-2010-MainFH #quantum #student #what
What did qubits ever do for me: an answer for CS2 students (MM, RF, YH), pp. 209–213.
MSRMSR-2010-RahmanBD #named #question #smell #what
Clones: What is that smell? (FR, CB, PTD), pp. 72–81.
ICALPICALP-v2-2010-HofmannKS #functional #question #what
What Is a Pure Functional? (MH, AK, HS), pp. 199–210.
CHICHI-2010-BaileyH #case study #idea #pipes and filters #scalability #what
What’s your idea?: a case study of a grassroots innovation pipeline within a large software company (BPB, EH), pp. 2065–2074.
CHICHI-2010-HartmannMBK #error message #fault #what
What would other programmers do: suggesting solutions to error messages (BH, DM, JB, SRK), pp. 1019–1028.
CHICHI-2010-LiNLDC #process #reuse #web #what
Here’s what i did: sharing and reusing web activity with ActionShot (IL, JN, TAL, CD, AC), pp. 723–732.
CHICHI-2010-MorrisTP #behaviour #bibliography #network #people #social #what #why
What do people ask their social networks, and why?: a survey study of status message q&a behavior (MRM, JT, KP), pp. 1739–1748.
CHICHI-2010-SauroL #question #testing #usability #what
Average task times in usability tests: what to report? (JS, JRL), pp. 2347–2350.
CHICHI-2010-Thom-SantelliCG #collaboration #what
What do you know?: experts, novices and territoriality in collaborative systems (JTS, DC, GG), pp. 1685–1694.
CHICHI-2010-ViewegHSP #microblog #twitter #what
Microblogging during two natural hazards events: what twitter may contribute to situational awareness (SV, ALH, KS, LP), pp. 1079–1088.
CSCWCSCW-2010-SetlockF #cost analysis #tool support #what
What’s it worth to you?: the costs and affordances of CMC tools to asian and american users (LDS, SRF), pp. 341–350.
CSCWCSCW-2010-StarbirdPHV #microblog #social #what
Chatter on the red: what hazards threat reveals about the social life of microblogged information (KS, LP, ALH, SV), pp. 241–250.
AdaEuropeAdaEurope-2010-Baker #manycore #question #realtime #reliability #what
What to Make of Multicore Processors for Reliable Real-Time Systems? (TPB), pp. 1–18.
EDOCEDOC-2010-VoelzG #quality #question #what
What is Different in Quality Management for SOA? (DV, AG), pp. 47–56.
ICEISICEIS-DISI-2010-CaronD #analysis #case study
What-if Analysis in OLAP — With a Case Study in Supermarket Sales Data (EC, HD), pp. 208–213.
CIKMCIKM-2010-PiwowarskiFLR #information retrieval #quantum #what
What can quantum theory bring to information retrieval (BP, IF, ML, KvR), pp. 59–68.
RecSysRecSys-2010-ZhaoZYZZF #recommendation #social #what
Who is talking about what: social map-based recommendation for content-centric social websites (SZ, MXZ, QY, XZ, WZ, RF), pp. 143–150.
OOPSLAOOPSLA-2010-ReichenbachISAG #garbage collection #what
What can the GC compute efficiently?: a language for heap assertions at GC time (CR, NI, YS, EA, SZG), pp. 256–269.
RERE-2010-Beatty #question #what
My Company Can’t Afford RE Training Right Now, What Do We Do? (JB), p. 387.
ICSEICSE-2010-MusilSWB #education #game studies #prototype #what
Synthesized essence: what game jams teach about prototyping of new software products (JM, AS, DW, SB), pp. 183–186.
ICSTICST-2010-WeyukerBO #debugging #question #what
We’re Finding Most of the Bugs, but What are We Missing? (EJW, RMB, TJO), pp. 313–322.
HTHT-2009-MeissDGRM #behaviour #web #what
What’s in a session: tracking individual behavior on the web (MM, JD, BG, JJR, FM), pp. 173–182.
SIGMODSIGMOD-2009-AngelKSS #question #what
What’s on the grapevine? (AA, NK, NS, DS), pp. 1047–1050.
SIGMODSIGMOD-2009-MuellerT #database #named #question #what
FPGA: what’s in it for a database? (RM, JT), pp. 999–1004.
ITiCSEITiCSE-2009-MitchellPH #question #what
Computing science: what do pupils think? (AM, HCP, JH), p. 353.
ITiCSEITiCSE-2009-PargasB #question #what
What were they thinking? (RPP, SPB), pp. 134–138.
ESOPESOP-2009-Eber #contract #design #programming language #question #specification #tool support #what
The Financial Crisis, a Lack of Contract Specification Tools: What Can Finance Learn from Programming Language Design? (JME), pp. 205–206.
ICSMEICSM-2009-HindleGH #analysis #developer #topic #what
What’s hot and what’s not: Windowed developer topic analysis (AH, MWG, RCH), pp. 339–348.
ICSMEICSM-2009-Wang #developer #motivation #source code #what
What motivate software engineers to refactor source code? evidences from professional developers (YW), pp. 413–416.
MSRMSR-2009-RastkarM #interactive #on the #question #recommendation #what
On what basis to recommend: Changesets or interactions? (SR, GCM), pp. 155–158.
FMFM-2009-BonzanniFFK #biology #formal method #question #what
What Can Formal Methods Bring to Systems Biology? (NB, KAF, WF, EK), pp. 16–22.
CHICHI-2009-BaoG #what
What’s “this” you say?: the use of local references on distant displays (PB, DG), pp. 1029–1032.
CHICHI-2009-BuscherCM #eye tracking #predict #using #web #what
What do you see when you’re surfing?: using eye tracking to predict salient regions of web pages (GB, EC, MRM), pp. 21–30.
CHICHI-2009-GaverBKBJ #design #how #what
Anatomy of a failure: how we knew when our design went wrong, and what we learned from it (WWG, JB, TK, AB, NJ), pp. 2213–2222.
CHICHI-2009-KitturCS #topic #using #what #wiki
What’s in Wikipedia?: mapping topics and conflict using socially annotated category structure (AK, EHC, BS), pp. 1509–1512.
CHICHI-2009-Ljungblad #what
Passive photography from a creative perspective: “If I would just shoot the same thing for seven days, it’s like... What’s the point?” (SL), pp. 829–838.
CHICHI-2009-SchechterER #approach #authentication #social #what
It’s not what you know, but who you know: a social approach to last-resort authentication (SES, SE, RWR), pp. 1983–1992.
CHICHI-2009-ShenLD #video #what
What’s next?: emergent storytelling from video collection (EYTS, HL, GD), pp. 809–818.
CHICHI-2009-Thom-SantelliCG #authoring #collaboration #what
What’s mine is mine: territoriality in collaborative authoring (JTS, DC, GG), pp. 1481–1484.
HCIDHM-2009-Marshall #what
What the Eyes Reveal: Measuring the Cognitive Workload of Teams (SPM), pp. 265–274.
HCIHCD-2009-Go #design #question #usability #what
What Properties Make Scenarios Useful in Design for Usability? (KG), pp. 193–201.
HCIHCI-NT-2009-GuoPS #what
What Do Users Want to See? A Content Preparation Study for Consumer Electronics (YG, RWP, GS), pp. 413–420.
HCIHCI-NT-2009-Lew #experience #what
What Do Users Really Do? Experience Sampling in the 21st Century (GSL), pp. 314–319.
HCIIDGD-2009-EugeneHMBRL #authentication #design #process #what
This Is Who I Am and This Is What I Do: Demystifying the Process of Designing Culturally Authentic Technology (WE, LH, KM, QB, YAR, SL), pp. 19–28.
CIKMCIKM-2009-BeckerBGJP #web #what
What happens after an ad click?: quantifying the impact of landing pages in web advertising (HB, AZB, EG, VJ, BP), pp. 57–66.
CIKMCIKM-2009-KementsietsidisW #evaluation #query #question #what
Provenance query evaluation: what’s so special about it? (AK, MW), pp. 681–690.
CIKMCIKM-2009-QianLLXSS #community #development #topic #what
What’s behind topic formation and development: a perspective of community core groups (TQ, QL, BL, HX, JS, PCYS), pp. 1843–1846.
CIKMCIKM-2009-SunLL #case study #category theory #classification #performance #predict #what
What makes categories difficult to classify?: a study on predicting classification performance for categories (AS, EPL, YL), pp. 1891–1894.
ECIRECIR-2009-Rijke #question #what
Searching User Generated Content: What’s Next? (MdR), p. 2.
ECIRECIR-2009-SandersonTAC #what
What Else Is There? Search Diversity Examined (MS, JT, TA, PDC), pp. 562–569.
KEODKEOD-2009-Kop #concept #ontology #owl #question #what
What are Main Concepts in an OWL Domain Ontology? (CK), pp. 404–407.
SIGIRSIGIR-2009-KapteinMK #what
Who said what to whom?: capturing the structure of debates (RK, MM, JK), pp. 831–832.
SIGIRSIGIR-2009-ZhangL #query #question #web #what
What queries are likely to recur in web search? (DZ, JL), pp. 827–828.
MODELSMoDELS-2009-Mellor #modelling #question #what
Models. Models. Models. So What? (SJM), p. 1.
MODELSMoDELS-2009-Mellor #modelling #question #what
Models. Models. Models. So What? (SJM), p. 1.
ECOOPECOOP-2009-Jones #haskell #what #why
Classes, Jim, But Not as We Know Them — Type Classes in Haskell: What, Why, and Whither (SLPJ), p. 1.
RERE-2009-WnukRK #comprehension #industrial #scalability #visualisation #what
What Happened to Our Features? Visualization and Understanding of Scope Change Dynamics in a Large-Scale Industrial Setting (KW, BR, LK), pp. 89–98.
SLESLE-2009-Bezivin #problem #question #what
If MDE Is the Solution, Then What Is the Problem? (JB), p. 2.
DACDAC-2008-HaritanHYPWNWM #challenge #design #exclamation #manycore #question #what
Multicore design is the challenge! what is the solution? (EH, TH, HY, PGP, WW, AN, DW, MM), pp. 128–130.
DACDAC-2008-SparksWBLCPHR #industrial #what
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.
HTHT-2008-JatowtKOT #documentation #interactive #modelling #towards #what
What can history tell us?: towards different models of interaction with document histories (AJ, YK, HO, KT), pp. 5–14.
SIGMODSIGMOD-2008-HarizopoulosAMS #what
OLTP through the looking glass, and what we found there (SH, DJA, SM, MS), pp. 981–992.
VLDBVLDB-2008-BlottW #question #similarity #what
What’s wrong with high-dimensional similarity search? (SB, RW), p. 3.
ITiCSEITiCSE-2008-CaspersenCDPST #education #question #what
What is masters level education in informatics? (MEC, LNC, GD, AP, SS, HT), p. 341.
ITiCSEITiCSE-2008-ChinnV #gender #student #what
What students say about gender in hiring software professionals (DC, TV), p. 344.
ITiCSEITiCSE-2008-DorgeS #question #what
What are information technology’s key qualifications? (CD, CS), pp. 296–300.
ITiCSEITiCSE-2008-Hall #web #what #why
What is web science and why is it important to CSE (WH), pp. 1–2.
FASEFASE-2008-ClassenHS #perspective #requirements #what
What’s in a Feature: A Requirements Engineering Perspective (AC, PH, PYS), pp. 16–30.
FoSSaCSFoSSaCS-2008-HabermehlIV #array #decidability #integer #question #what
What Else Is Decidable about Integer Arrays? (PH, RI, TV), pp. 474–489.
CSMRCSMR-2008-PapastefanatosAVV #analysis #database #evolution #named
Hecataeus: A What-If Analysis Tool for Database Schema Evolution (GP, FA, YV, PV), pp. 326–328.
ICPCICPC-2008-AlaliKM #commit #open source #repository #what
What’s a Typical Commit? A Characterization of Open Source Software Repositories (AA, HHK, JIM), pp. 182–191.
MSRMSR-2008-HindleGH #commit #scalability #what
What do large commits tell us?: a taxonomical study of large commits (AH, DMG, RCH), pp. 99–108.
CHICHI-2008-ChauMF #what
What to do when search fails: finding information by association (DHC, BAM, AF), pp. 999–1008.
CHICHI-2008-NovNY #what
What drives content tagging: the case of photos on Flickr (ON, MN, CY), pp. 1097–1100.
CHICHI-2008-PetrelliWB #named #physics #question #what
AutoTypography: what can physical mementos tell us about digital memories? (DP, SW, JB), pp. 53–62.
CHICHI-2008-SubrahmaniyanBGBWNBDF #debugging #testing #what
Testing vs. code inspection vs. what else?: male and female end users’ debugging strategies (NS, LB, VG, MMB, SW, VN, KB, RD, XZF), pp. 617–626.
CSCWCSCW-2008-PriedhorskyT #how #what #why
The computational geowiki: what, why, and how (RP, LGT), pp. 267–276.
CSCWCSCW-2008-TolmieCRB #quote #what
“Are you watching this film or what?”: interruption and the juggling of cohorts (PT, AC, TR, SB), pp. 257–266.
ICEISICEIS-DISI-2008-PennesiHRWS #what #why
WWW++ — Adding Why to What, When and Where (PP, MH, CR, CYW, SS), pp. 304–309.
ICEISICEIS-SAIC-2008-BninaCNA #question #trust #what
What Can Context Do for Trust in Manets? (EBB, OC, CTN, HKBA), pp. 133–141.
ECIRECIR-2008-Belkin #challenge #information retrieval #what
Some(What) Grand Challenges for Information Retrieval (NJB), p. 1.
ICMLICML-2008-LiLW #framework #learning #self #what
Knows what it knows: a framework for self-aware learning (LL, MLL, TJW), pp. 568–575.
KRKR-2008-HinrichsG #finite #how #injection #logic #what
Injecting the How into the What: Investigating a Finite Classical Logic (TLH, MRG), pp. 92–192.
RERE-2008-SimAA #experience #requirements #what
Marginal Notes on Amethodical Requirements Engineering: What Experts Learned from Experience (SES, TAA, BAA), pp. 105–114.
SACSAC-2008-AnagnostopoulosAH #adaptation #data type #multi #what
Deciding what to observe next: adaptive variable selection for regression in multivariate data streams (CA, NMA, DJH), pp. 961–965.
FSEFSE-2008-BettenburgJSWPZ #debugging #question #what
What makes a good bug report? (NB, SJ, AS, CW, RP, TZ), pp. 308–318.
TAPTAP-2008-WeyukerO #fault #predict #question #what
What Can Fault Prediction Do for YOU? (EJW, TJO), pp. 18–29.
ECSAECSA-2007-Papazoglou #question #what
What’s in a Service? (MPP), pp. 11–28.
WICSAWICSA-2007-Muccini #architecture #testing #what
What Makes Software Architecture-Based Testing Distinguishable (HM), p. 29.
ASEASE-2007-Selic #automation #what
The embarrassing truth about software automation and what should be done about it (BS), p. 3.
DATEDATE-2007-Wingen #design #question #what
What if you could design tomorrow’s system today? (NW), pp. 835–840.
HTHT-2007-schraefel #question #semantics #web #what #why
What is an analogue for the semantic web and why is having one important? (MMCS), pp. 123–132.
PODSPODS-2007-WhiteRGD #question #what
What is “next” in event processing? (WMW, MR, JG, AJD), pp. 263–272.
VLDBVLDB-2007-Amer-YahiaH #database #question #web #what
What does Web 2.0 have to do with databases? (SAY, AYH), p. 1443.
VLDBVLDB-2007-IvesDR #adaptation #how #query #question #what #why
Adaptive query processing: Why, How, When, and What Next? (ZGI, AD, VR), pp. 1426–1427.
ITiCSEITiCSE-2007-LarssonAKE #evaluation #question #what
What impacts course evaluation? (EL, MA, DK, PE), p. 333.
ESOPESOP-2007-MantelR #classification #security #what
Controlling the What and Where of Declassification in Language-Based Security (HM, AR), pp. 141–156.
MSRMSR-2007-RigbyH #analysis #developer #what
What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List (PCR, AEH), p. 23.
DLTDLT-2007-Kunc #equation #question #what
What Do We Know About Language Equations? (MK), pp. 23–27.
CHICHI-2007-AndreasenNSS #empirical #testing #usability #what
What happened to remote usability testing?: an empirical study of three methods (MSA, HVN, SOS, JS), pp. 1405–1414.
CHICHI-2007-CutrellG #web #what
What are you looking for?: an eye-tracking study of information usage in web search (EC, ZG), pp. 407–416.
CHICHI-2007-LindgaardC #question #testing #usability #what
Usability testing: what have we overlooked? (GL, JC), pp. 1415–1424.
CHICHI-2007-ShehanE #human-computer #network #question #what
Home networking and HCI: what hath god wrought? (ES, WKE), pp. 547–556.
HCIHCI-AS-2007-Furukawa #challenge #effectiveness #fault #injection #question #what
Challenge for Preventing Medication Errors -Learn from Errors- : What Is the Most Effective Label Display to Prevent Medication Error for Injectable Drug ? (HF), pp. 437–442.
HCIHCI-AS-2007-LiuLS #behaviour #comprehension #design #game studies #online #what
What Makes Game Players Want to Play More? A Mathematical and Behavioral Understanding of Online Game Design (DL, XL, RS), pp. 284–293.
HCIHCI-IDU-2007-EschenbrennerN #identification #information management #what
What Makes Them So Special?: Identifying Attributes of Highly Competent Information System Users (BE, FFHN), pp. 736–745.
HCIHCI-IDU-2007-HwangS #detection #problem #usability #what
What Makes Evaluators to Find More Usability Problems?: A Meta-analysis for Individual Detection Rates (WH, GS), pp. 499–507.
HCIHCI-IPT-2007-DengZTDW #documentation #what
Improving Document Icon to Re-find Efficiently What You Need (CD, MZ, FT, GD, HW), pp. 49–52.
HCIHIMI-IIE-2007-VuGNSCCP #online #privacy #question #what
Examining User Privacy Practices While Shopping Online: What Are Users Looking for? (KPLV, FPG, DN, JS, BC, VC, RWP), pp. 792–801.
HCIOCSC-2007-Bickmore #lessons learnt #smarttech #social #what
What Would Jiminy Cricket Do? Lessons from the First Social Wearable (TWB), pp. 12–21.
ICEISICEIS-AIDSS-2007-SotoVPP #information management #question #what
Knowledge Management Systems with Reputation and Intuition — What for? (JPS, AV, JPR, MP), pp. 498–503.
ICEISICEIS-HCI-2007-MelguizoBDBB #memory management #recommendation #what
What a Proactive Recommendation System Needs — Relevance, Non-Intrusiveness, and a New Long-Term Memory (MCPM, TB, AD, LB, AvdB), pp. 86–91.
CIKMCIKM-2007-JonesKPT #privacy #query #quote #what
“I know what you did last summer”: query logs and user privacy (RJ, RK, BP, AT), pp. 909–914.
ICMLICML-2007-Werner #algorithm #consistency #question #what
What is decreased by the max-sum arc consistency algorithm? (TW), pp. 1007–1014.
SIGIRSIGIR-2007-LinYC #question #what
What emotions do news articles trigger in their readers? (KHYL, CY, HHC), pp. 733–734.
ISSTAISSTA-2007-ChangPY #approach #what
Finding what’s not there: a new approach to revealing neglected conditions in software (RYC, AP, JY), pp. 163–173.
DACDAC-2006-SingerMBHK #question #what
The IC nanometer race — what will it take to win? (GS, PM, DB, FCH, HKK), pp. 77–78.
DATEDATE-2006-DasBDC #design #model checking #question #what
What lies between design intent coverage and model checking? (SD, PB, PD, PPC), pp. 1217–1222.
SIGMODSIGMOD-2006-DeshpandeHR #adaptation #how #query #what #why
Adaptive query processing: why, how, when, what next (AD, JMH, VR), pp. 806–807.
CSEETCSEET-2006-FornaroHT #design #student #what
What Clients Want — What Students Do: Reflections on Ten Years of Sponsored Senior Design Projects (RJF, MRH, ALT), pp. 226–236.
ITiCSEITiCSE-2006-BoyleB #question #what
What don’t you know? (RDB, JB), p. 343.
ITiCSEITiCSE-2006-ChenLMSS #question #student #what
What do beginning students know, and what can they do? (TYC, GL, RM, KS, BS), p. 329.
ICPCICPC-2006-LawrieMFB #case study #identifier #what
What’s in a Name? A Study of Identifiers (DL, CM, HF, DB), pp. 3–12.
CHICHI-2006-WallB #feedback #graph #navigation #what
Feeling what you hear: tactile feedback for navigation of audio graphs (SAW, SAB), pp. 1123–1132.
CSCWCSCW-2006-Lee #analysis #social #what
What goes around comes around: an analysis of del.icio.us as social space (KJL), pp. 191–194.
ICPRICPR-v1-2006-BoschMOM #approach #classification #question #what
Object and Scene Classification: what does a Supervised Approach Provide us? (AB, XM, AO, RM), pp. 773–777.
SEKESEKE-2006-FarenhorstBDLV #architecture #domain model #question #what
What’s in Constructing a Domain Model for Sharing Architectural Knowledge? (RF, RCdB, RD, PL, HvV), pp. 108–113.
SIGIRSIGIR-2006-CarmelYDP #query #question #what
What makes a query difficult? (DC, EYT, AD, DP), pp. 390–397.
SIGIRSIGIR-2006-FrankowskiCSTR #privacy #risk management #what
You are what you say: privacy risks of public mentions (DF, DC, SS, LGT, JR), pp. 565–572.
RERE-2006-AkkermansG #question #requirements #what
What is This Science Called Requirements Engineering? (HA, JG), pp. 266–271.
SACSAC-2006-SauvagnatHB #question #retrieval #using #what #xml
XML retrieval: what about using contextual relevance? (KS, LH, MB), pp. 1114–1115.
ICSEICSE-2006-MikulovicH #communication #development #distributed #how #quote #requirements #what
“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.
VMCAIVMCAI-2006-BradleyMS #array #decidability #question #what
What’s Decidable About Arrays? (ARB, ZM, HBS), pp. 427–442.
WICSAWICSA-2005-Koschke #architecture #reverse engineering #what
What Architects Should Know About Reverse Engineering and Rengineering (RK), pp. 4–10.
WICSAWICSA-2005-LungZG #architecture #what
Reflection on Software Architecture Practices — What Works, What Remains to Be Seen, and What Are the Gaps (CHL, MZ, NG), pp. 221–222.
DACDAC-2005-NassifZMMPV #exclamation #what
The Titanic: what went wrong! (SRN, PSZ, CM, MM, SDP, WV), pp. 349–350.
HTHT-2005-Moulthrop #hypermedia #problem #what
What the geeks know: hypertext and the problem of literacy (SM), pp. 227–231.
HTHT-2005-YamamotoNNAM #authoring #hypermedia #what
What is the space for?: the role of space in authoring hypertext representations (YY, KN, YN, MA, RM), pp. 117–125.
ICDARICDAR-2005-AblameykoBP #what
. What Should the User Do? Inference Structures and Line Drawing Interpretation (SA, VB, TPP), pp. 760–764.
CSEETCSEET-2005-Selic #developer #what
What I Wish I Had Learned in School: Reflections on 30+ Years as a Software Developer (BS), p. 5.
ITiCSEITiCSE-2005-AlmstrumL #question #what #women
What attracts women to CS? (VLA, MZL), p. 378.
ITiCSEITiCSE-2005-MurphyT #data type #student #what
Do computer science students know what they know?: a calibration study of data structure knowledge (LM, JDT), pp. 148–152.
ICSMEICSM-2005-Demeyer #morphism #performance #polymorphism #question #what
Refactor Conditionals into Polymorphism: What’s the Performance Cost of Introducing Virtual Calls? (SD), pp. 627–630.
IWPCIWPC-2005-HouWH #framework #question #what
What Can Programmer Questions Tell Us About Frameworks? (DH, KW, HJH), pp. 87–96.
SEFMSEFM-2005-Chalin #logic #question #what
Logical Foundations of Program Assertions: What do Practitioners Want? (PC), pp. 383–393.
CHICHI-2005-ConsolvoSMLTP #people #social #what #why
Location disclosure to social relations: why, when, & what people want to share (SC, IES, TM, AL, JT, PP), pp. 81–90.
CHICHI-2005-OviattLC #difference #integration #multimodal #question #what #why
Individual differences in multimodal integration patterns: what are they and why do they exist? (SLO, RL, RC), pp. 241–249.
CHICHI-2005-PatilL #configuration management #privacy #what
Who gets to know what when: configuring privacy permissions in an awareness application (SP, JL), pp. 101–110.
MODELSMoDELS-2005-MiliE #design pattern #problem #question #representation #what
Representing and Applying Design Patterns: What Is the Problem? (HM, GEB), pp. 186–200.
MODELSMoDELS-2005-MiliE #design pattern #problem #question #representation #what
Representing and Applying Design Patterns: What Is the Problem? (HM, GEB), pp. 186–200.
RERE-2005-AlexanderRM #industrial #process #requirements #what
What Influences the Requirements Process in Industry? A Report on Industrial Practice (IFA, SR, NAMM), pp. 411–415.
ICSEICSE-2005-MaurerM #agile #what
What you always wanted to know about agile methods but did not dare to ask (FM, GM), pp. 731–732.
ICSEICSE-2005-ShawHO #design #education #re-engineering #what
Deciding what to design: closing a gap in software engineering education (MS, JDH, IO), pp. 607–608.
COCVCOCV-J-2005-Langmaack #question #reasoning #what
What Level of Mathematical Reasoning can Computer Science Demand of a Software Implementer? (HL), pp. 5–32.
CADECADE-2005-Dowek #consistency #question #what
What Do We Know When We Know That a Theory Is Consistent? (GD), pp. 1–6.
DACDAC-2004-BacchiniDBBNIY #named #verification #what
Verification: what works and what doesn’t (FB, RFD, BB, KB, KN, MI, EY), p. 274.
DACDAC-2004-DeoZBCGLRRS #question #what
What happened to ASIC?: Go (recon)figure? (ND, BZ, IB, JC, BG, PL, CBR, CR, RS), p. 185.
DACDAC-2004-LiuPP #library #power management #question #what
Practical repeater insertion for low power: what repeater library do we need? (XL, YP, MCP), pp. 30–35.
DATEDATE-v2-2004-RajskiT #design #question #requirements #what
Nanometer Design: What are the Requirements for Manufacturing Test? (JR, KT), pp. 930–937.
HTHT-2004-Wardrip-Fruin #hypermedia #what
What hypertext is (NWF), pp. 126–127.
ITiCSEITiCSE-2004-Ben-AriBBH #education #question #research #what
What do we mean by theoretically sound research in computer science education? (MBA, AB, SB, CH), pp. 230–231.
ITiCSEITiCSE-2004-VeenML #education #question #what
What is lacking in curriculum schemes for computing/informatics? (MvV, FM, KL), pp. 186–190.
PEPMPEPM-2004-Morrisett #question #what
Invited talk: what’s the future for proof-carrying code? (JGM), p. 203.
ICALPICALP-2004-Hofmann #logic #question #type system #what
What Do Program Logics and Type Systems Have in Common? (MH0), pp. 4–7.
CHICHI-2004-BellottiDGFBD #design #towards #what
What a to-do: studies of task management towards the design of a personal task list manager (VB, BD, NG, PF, DGB, ND), pp. 735–742.
ICEISICEIS-v3-2004-Nobre04a #what
Computer Ethics: What are we Talking About? Possible Contributions from Philosophy of Action, Critical Realism and Modern Hermeneutics (ÂLN), pp. 683–687.
KRKR-2004-CalvaneseGLLR #query #what
What to Ask to a Peer: Ontolgoy-based Query Reformulation (DC, GDG, DL, ML, RR), pp. 469–478.
KRKR-2004-Denecker #analysis #logic programming #what
What’s in a Model? Epistemological Analysis of Logic Programming (MD), pp. 106–113.
KRKR-2004-Patel-Schneider #owl #question #what #why
What Is OWL (and Why Should I Care)? (PFPS), pp. 735–737.
SIGIRSIGIR-2004-LarsonF #information retrieval #what
Geographic information retrieval (GIR): searching where and what (RRL, PF), p. 600.
PPDPPPDP-2004-Morrisett #question #what
Invited talk: what’s the future for proof-carrying code? (JGM), p. 5.
SPLCSPLC-2004-Krueger #product line #what
Product Line Binding Times: What You Don?t Know Can Hurt You (CWK), pp. 305–306.
ASEASE-2003-MemonBN #effectiveness #question #testing #user interface #what
What Test Oracle Should I Use for Effective GUI Testing? (AMM, IB, AN), pp. 164–173.
HTHT-2003-Nurnberg #hypermedia #question #what
What is hypertext? (PJN), pp. 220–221.
PODSPODS-2003-CormodeM #what
What’s hot and what’s not: tracking most frequent items dynamically (GC, SM), pp. 296–306.
CSEETCSEET-2003-Cowling #question #what
What Should Graduating Software Engineers Be Able To Do? (AJC), pp. 88–98.
CSEETCSEET-2003-GermainR #process #question #student #what
What Cognitive Activities Are Performed in Student Projects? (ÉG, PNR), p. 224–?.
ITiCSEITiCSE-2003-MurrayHKMWST #case study #education #experience #ide #java #what
Experiences with IDEs and Java teaching: what works and what doesn’t (KAM, JMH, MK, TM, PJW, NCS, JAT), pp. 215–216.
ITiCSEITiCSE-2003-SheardD #question #student #what
Influences on cheating practice of graduate students in IT courses: what are the factors? (JS, MD), pp. 45–49.
ESOPESOP-2003-Meadows #analysis #encryption #evolution #protocol #requirements #specification #what
What Makes a Cryptographic Protocol Secure? The Evolution of Requirements Specification in Formal Cryptographic Protocol Analysis (CM), pp. 10–21.
TACASTACAS-2003-Lee #case study #experience #what
What Are We Trying to Prove? Reflections on Experiences with Proof-Carrying Code (PL0), p. 1.
CHICHI-2003-FriedmanKH #hardware #online #what
Hardware companions?: what online AIBO discussion forums reveal about the human-robotic relationship (BF, PHKJ, JH), pp. 273–280.
CHICHI-2003-Ho-ChingML #design #evaluation #what
Can you see what i hear?: the design and evaluation of a peripheral sound display for the deaf (FWlHC, JM, JAL), pp. 161–168.
CHICHI-2003-JackoSSBEEKMZ #feedback #multimodal #performance #question #visual notation #what
Older adults and visual impairment: what do exposure times and accuracy tell us about performance gains associated with multimodal feedback? (JAJ, IUS, FS, LB, PJE, VKE, TK, KPM, BSZ), pp. 33–40.
ICEISICEIS-v4-2003-Cox #communication #design #what
What Is the Value of Emotion in Communication? Implications for User Centred Design (RC), pp. 418–425.
ECIRECIR-2003-HeeschR #feedback #image #question #retrieval #what
Relevance Feedback for Content-Based Image Retrieval: What Can Three Mouse Clicks Achieve? (DH, SMR), pp. 363–376.
SIGIRSIGIR-2003-KampsMRS #question #retrieval #what #xml
XML retrieval: what to retrieve? (JK, MM, MdR, BS), pp. 409–410.
SIGIRSIGIR-2003-SakaiK #performance #question #retrieval #what
Evaluating retrieval performance for Japanese question answering: what are best passages? (TS, TK), pp. 429–430.
UMLUML-2003-Fowler #question #uml #what
What Is the Point of the UML? (MF), p. 325.
ICSEICSE-2003-Szyperski #component #how #question #what
Component Technology — What, Where, and How? (CAS), pp. 684–693.
ASEASE-2002-OwenMC #finite #modelling #question #what
What Makes Finite-State Models More (or Less) Testable? (DO, TM, BC), pp. 237–240.
DACDAC-2002-BrodersenHKKLK #design #question #what
Nanometer design: what hurts next...? (RWB, AMH, JK, DK, MAL, MK), p. 242.
DACDAC-2002-RabaeyKBCSLH #question #what
What’s the next EDA driver? (JMR, JK, DB, RC, DS, LL, RH), p. 652.
DATEDATE-2002-LewisBLWGT #configuration management #question #what
Reconfigurable SoC — What Will it Look Like? (JBL, IB, RL, CW, BG, YT), pp. 660–662.
PODSPODS-2002-ChuHG #optimisation #query #question #what
Least Expected Cost Query Optimization: What Can We Expect? (FCC, JYH, JG), pp. 293–302.
ITiCSEITiCSE-2002-CarboneS #education #learning #question #student #what
A studio-based teaching and learning model in IT: what do first year students think? (AC, JS), pp. 213–217.
ITiCSEITiCSE-2002-DagdilelisSE #behaviour #what
What they really do?: attempting (once again) to model novice programmers’ behavior (VD, MS, GE), p. 244.
CSCWCSCW-2002-HandelH #chat #question #what
What is chat doing in the workplace? (MH, JDH), pp. 1–10.
ICPRICPR-v2-2002-KakD #question #what
Robotic Vision: What Happened to the Visions of Yesterday? (ACK, GND), pp. 839–847.
KDDKDD-2002-UgurelKG #automation #classification #source code #what
What’s the code?: automatic classification of source code archives (SU, RK, CLG), pp. 639–644.
RERE-2002-Kovitz #ambiguity #what
Ambiguity and What to Do about It (BK), p. 213.
LDTALDTA-2002-Consel #domain-specific language #how #what #why
Domain-Specific Languages: What, Why, How (CC), p. 1.
DATEDATE-2001-YeungHMMZ #integration #question #standard #what
Standard bus vs. bus wrapper: what is the best solution for future SoC integration? (CY, AH, GM, JM, JZ), pp. 776–777.
CSEETCSEET-2001-BagertHHLMM #programming #re-engineering #student #what
Programming Skills of Software Engineering Students: What Is Required? (Panel) (DJB, TBH, GWH, MJL, MM, SM), p. 39–?.
ESOPESOP-2001-AmtoftKP #question #what
What Are Polymorphically-Typed Ambients? (TA, AJK, SMPG), pp. 206–220.
PASTEPASTE-2001-Webber #invariant #question #what
What is a class invariant? (ABW), pp. 86–89.
SASSAS-2001-Schneider #security #what #why
Language-Based Security: What’s Needed and Why (FBS), p. 374.
CHICHI-2001-FoggMLOVFPRSST #scalability #web #what
What makes Web sites credible?: a report on a large quantitative study (BJF, JM, OL, AO, CV, NF, JP, AR, JS, PS, MT), pp. 61–68.
CIKMCIKM-2001-Rosenthal #documentation #question #security #what
What Can Researches Do to Improve Security of Data and Documents? (AR), p. 593.
KDDKDD-2001-PadmanabhanZK #personalisation #semistructured data #what
Personalization from incomplete data: what you don’t know can hurt (BP, Z(Z, SOK), pp. 154–163.
SEKESEKE-2001-Vegas #question #testing #what
What Information is Relevant when Selecting Testing Techniques? (SV), pp. 45–52.
TOOLSTOOLS-USA-2001-Thompson #named #question #what
SOAP: What Is It and What Is It Good For? (PT), p. 364.
POPLPOPL-2001-BhargavanCMG #automaton #monitoring #network #what
What packets may come: automata for network monitoring (KB, SC, PJM, CAG), pp. 206–219.
RERE-2001-Gonzales #question #what
Systems or Software: What Should the “S” in SRE Stand for? (RG), p. 281.
RERE-2001-Greenspan #question #requirements #what
Extreme RE: What If There Is No Time for Requirements Engineering? (SJG), pp. 282–285.
RERE-2001-Hooks #requirements #what
What Happens With Good Requirements Practices (IH), p. 268.
RERE-2001-WesselsD #question #requirements #what
What Happens before Requirements Engineering? (BW, JED), pp. 298–299.
ICSEICSE-2001-ModesittBW #bibliography #re-engineering #source code #what
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.
CBSECBSE-2000-Hall #case study #component #education #question #what
Educational Case Study–What is the Model of an Ideal Component? Must it be an Object? (PH), p. 8.
ASEASE-2000-MenziesS #assessment #case study #query #risk management #scalability
Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment (TM, ES), p. 165–?.
HTHT-2000-Larsen #flexibility #hypermedia #what
Providing flexibility within hypertext systems: what we’ve learned at HT workshops, CyberMountain, and elsewhere (DL), pp. 268–269.
VLDBVLDB-2000-HinneburgAK #nearest neighbour #question #what
What Is the Nearest Neighbor in High Dimensional Spaces? (AH, CCA, DAK), pp. 506–515.
VLDBVLDB-2000-ManegoldBK #cpu #memory management #optimisation #what
What Happens During a Join? Dissecting CPU and Memory Optimization Effects (SM, PAB, MLK), pp. 339–350.
ITiCSEITiCSE-2000-Carter #student #what
What the students said about plagiarsim (JC), p. 186.
FASEFASE-2000-Kondoh #question #re-engineering #what
What is “Mathematicalness” in Software Engineering? (HK), pp. 163–177.
CSMRCSMR-2000-JohnstoneSW #assembly #challenge #compilation #control flow #what
What Assembly Language Programmers Get Up To: Control Flow Challenges in Reverse Compilation (AJ, ES, TW), pp. 83–92.
ICSMEICSM-2000-Chapin00a #maintenance #question #what
Do We Know What Preventive Maintenance Is? (NC), pp. 15–17.
ICSMEICSM-2000-Kajko-Mattsson #exclamation #maintenance #question #what
Preventive Maintenance! Do We Know What It Is? (MKM), pp. 12–14.
ICSMEICSM-2000-Vehvilainen #maintenance #question #what
What Is Preventive Software Maintenance? (RV), p. 18–?.
PEPMPEPM-2000-LiuS #optimisation #question #recursion #what
From Recursion to Iteration: What are the Optimizations? (YAL, SDS), pp. 73–82.
CHICHI-2000-LeeKM #design #internet #what
What makes Internet users visit cyber stores again? key design factors for customer loyalty (JL, JK, JYM), pp. 305–312.
CHICHI-2000-WhittakerDHM #interface #named #what
Jotmail: a voicemail interface that enables you to see what was said (SW, RD, JH, UM), pp. 89–96.
ICEISICEIS-2000-MooreICMS #adaptation #what #workflow
Who Does What? Matching Agents to Tasks in Adaptive Workflow (JPM, RI, PWHC, AM, JS), pp. 181–185.
TOOLSTOOLS-EUROPE-2000-Reenskaug #collaboration #how #uml #what #why
The What, Why and How of the UML Collaboration (TR), p. 476.
REICRE-2000-AntonA #certification #requirements #what
What Do You Mean I’ve Been Practicing without a License? Certification and Licensing of Requirements Engineering Professionals (AIA, JMA), p. 151.
REICRE-2000-Gause #question #requirements #what
Requirements Engineering: What Have We Accomplished? Where Are We Now? Where Are We Going? (DCG), pp. 195–196.
REICRE-2000-Mead00a #certification #requirements #what
What Do You Mean I’m Practicing without a License? Certification and Licensing of Requirements Engineering Professionals (NRM), p. 152.
DACDAC-1999-DeHonW #automation #configuration management #design #what #why
Reconfigurable Computing: What, Why, and Implications for Design Automation (AD, JW), pp. 610–615.
HTHT-1999-NurnbergA #hypermedia #research #web #what
What Was the Question? Reconciling Open Hypermedia and World Wide Web Research (PJN, HA), pp. 83–90.
SIGMODSIGMOD-1999-CareyCNVDRSM #question #what
O-O, What’s Happening to DB2? (MJC, DDC, SN, BV, DD, SR, RS, NMM), pp. 511–512.
VLDBVLDB-1999-CareyCNVDRSM #question #what
O-O, What Have They Done to DB2? (MJC, DDC, SN, BV, DD, SR, RS, NMM), pp. 542–553.
VLDBVLDB-1999-DeRose #question #what #xml
What Do Those Weird XML Types Want, Anyway? (SJD), pp. 721–724.
VLDBVLDB-1999-JagadishLS #question #what
What can Hierarchies do for Data Warehouses? (HVJ, LVSL, DS), pp. 530–541.
CSEETCSEET-1999-McMillanR #re-engineering #student #what
What Leading Practitioners Say Should be Emphasized in Students’ Software Engineering Projects (WWM, SR), pp. 177–185.
ITiCSEITiCSE-1999-Carter #collaboration #student #what
Collaboration or plagiarism: what happens when students work together (JC), pp. 52–55.
ITiCSEITiCSE-1999-CarterJ #gender #programming #question #what
Gender and programming: what’s going on? (JC, TJ), pp. 1–4.
PLDIPLDI-1999-CraryHP #question #recursion #what
What is a Recursive Module? (KC, RH, SP), pp. 50–63.
STOCSTOC-1999-CanettiO #what
Secure Computation with Honest-Looking Parties: What If Nobody Is Truly Honest? (Extended Abstract) (RC, RO), pp. 255–264.
HCIHCI-CCAD-1999-WhiteC #question #web #what
What are you looking at on the web: information or applications? (DW, YYC), pp. 76–79.
HCIHCI-EI-1999-Canamero #human-computer #question #what
What Emotions are Necessary for HCI? (DC), pp. 838–842.
HCIHCI-EI-1999-HansenS #question #what
200, 000, 000, 000 Call Records — Now What Do We Do? (RSH, RKS), pp. 1158–1161.
AdaSIGAda-1999-PautetT #distributed #question #what
What future for the distributed systems annex? (LP, ST), pp. 77–82.
ICEISICEIS-1999-JarvisSMMC #adaptation #what #workflow
What Right Do You Have To Do That?-Infusing Adaptive Workflow Technology with Knowledfe about the Organisational and Autority Context of a Task (PJ, JS, AM, JPM, PWHC), pp. 240–247.
ICEISICEIS-1999-ReisM #network #what
What’s in a Node?-Nodes and Agents in Logistic Networks (JR, NJM), pp. 285–291.
CIKMCIKM-1999-Giles #question #web #what
Searching the Web: Can You Find What You Want? (CLG), pp. 1–2.
KDDKDD-1999-Sahar #what
Interestingness via What is Not Interesting (SS), pp. 332–336.
TOOLSTOOLS-EUROPE-1999-Henderson-SellersB #question #what
What is This Thing Called Aggregation? (BHS, FB), pp. 236–250.
HPDCHPDC-1999-Weissman #fault tolerance #grid #question #what
Fault Tolerant Computing on the Grid: What are My Options? (JBW), pp. 351–352.
DACDAC-1998-Dill #simulation #verification #what
What’s Between Simulation and Formal Verification? (Extended Abstract) (DLD), pp. 328–329.
SIGMODSIGMOD-1998-ChaudhuriN #analysis
AutoAdmin “What-if” Index Analysis Utility (SC, VRN), pp. 367–378.
SIGMODSIGMOD-1998-LacroixSC #exclamation #web #what
User-oriented smart-cache for the Web: What You Seek is What You Get! (ZL, AS, RC), pp. 572–574.
VLDBVLDB-1998-BlottKS #communication #how #question #what
Information, Communication, and Money: For What Can We Charge and How Can We Meter It? (SB, HFK, AS), p. 697.
CSEETCSEET-1998-CarterBCR #industrial #what
What Industry Wants in Its New Hires (DC, MFB, RC, GR), pp. 126–127.
FASEFASE-1998-Jones #what
Some Mistakes I Have and What I Have Learned from Them (CBJ), pp. 7–20.
CHICHI-1998-WalkerFFMH #email #interface #what
What can I say? Evaluating a Spoken Language Interface to Email (MAW, JF, GDF, CM, DH), pp. 582–589.
ICPRICPR-1998-Gimelfarb #interactive #modelling #question #segmentation #what
Supervised segmentation by pairwise interactions: do Gibbs models learn what we expect? (GLG), pp. 817–819.
KRKR-1998-Levesque98a #what
What Robots Can Do (HJL), p. 651.
OOPSLAOOPSLA-1998-DrossopoulouWE #java #question #what
What is Java Binary Compatibility? (SD, DW, SE), pp. 341–361.
ICSEICSE-1998-RothermelLDB #source code #testing #visual notation #what
What You See Is What You Test: A Methodology for Testing Form-Based Visual Programs (GR, LL, CD, MMB), pp. 198–207.
ISSTAISSTA-1998-Hamlet #question #testing #what
What Can We Learn by Testing a Program? (RGH), pp. 50–52.
HTHT-1997-Chuat #hypermedia #using #what
Using Hypertext for Textual Genetics, or, What is Suitable in a Hypertext System for an Information Gardening Application (CC), pp. 230–231.
HTHT-1997-Golovchinsky #hypermedia #information retrieval #integration #query #what
What the Query Told the Link: The Integration of Hypertext and Information Retrieval (GG), pp. 67–74.
HTHT-1997-LaddCS #question #web #what
The World Wide Web: What Cost Simplicity? (BCL, MVC, PDS), pp. 210–211.
ITiCSEITiCSE-1997-Lawhead97a #distance #learning #web #what
The Web and distance learning (panel): what is appropriate and what is not (PBL), p. 144.
ITiCSEITiCSE-1997-Moser #game studies #learning #what #why
A fantasy adventure game as a learning environment: why learning to program is so difficult and what can be done about it (RM), pp. 114–116.
ITiCSEITiCSE-WGR-1997-LawheadABCCDDFS #distance #learning #web #what
The Web and distance learning: what is appropriate and what is not (report of the ITiCSE 1997 working group on the web and distance learning) (PBL, EA, CGB, LC, DC, JD, MD, ERF, KS), pp. 27–37.
HCIHCI-CC-1997-Blanchard #how #human-computer #interactive #question #standard #what
International Standards on Human-Computer Interaction: What is Out There and How Will it be Implemented? (HEB), pp. 599–602.
HCIHCI-CC-1997-SalimM #named #question #what
Groupware: What You See Is What You Need? (SSS, LAM), pp. 53–56.
HCIHCI-SEC-1997-BlanchonF #what
Asking Users About What They Mean: Two Experiments & Results (HB, LF), pp. 609–612.
EDOCEDOC-1997-Kindel #black box #encapsulation #interface #multi #named #what
COM: what makes it work, black-box encapsulation through multiple, immutable interfaces (CK), pp. 68–77.
RERE-1997-Hall #question #requirements #what
What’s the Use of Requirements Engineering? (AH), p. 2–?.
ESECESEC-FSE-1997-Maibaum #education #question #what
What We Teach Software Engineers in the University: Do We Take Engineering Seriously? (TSEM), pp. 40–50.
ESECESEC-FSE-1997-Uhl #industrial #what
What we Expect from Software Engineers in the Industry (Abstract) (JU), p. 51.
DACDAC-1996-KantrowitzN #analysis #correctness #simulation #verification #what
I’m Done Simulating: Now What? Verification Coverage Analysis and Correctness Checking of the DECchip 21164 Alpha Microprocessor (MK, LMN), pp. 325–330.
VLDBVLDB-1996-GuptaM #problem #what
What is the Data Warehousing Problem? (Are Materialized Views the Answer?) (AG, ISM), p. 602.
ITiCSEITiCSE-1996-ProulxRF #education #how #question #what
Foundations of computer science: what are they and how do we teach them? (VKP, RR, HJF), pp. 42–48.
ICFPICFP-1996-LawallM #cost analysis #question #what #λ-calculus
Optimality and Inefficiency: What Isn’t a Cost Model of the λ Calculus? (JLL, HGM), pp. 92–101.
CSCWCSCW-1996-Bazzigaluppi #question #what
Groupware at Work: It’s Here Now, But Do We Know What It Is Yet? (GB), pp. 438–440.
KDDAKDDM-1996-MatheusPM #what
Selecting and reporting What Is Interesting (CJM, GPS, DM), pp. 495–515.
ICPRICPR-1996-FlorouM #3d #metric #question #what
What accuracy for 3D measurements with cameras? (GF, RM), pp. 354–358.
KRKR-1996-Fikes #named #ontology #question #research #what
Ontologies: What Are They, and Where’s The Research? (RF), pp. 652–653.
KRKR-1996-Mark #named #ontology #question #research #what
Ontologies: What Are They, and Where’s The Research? (WSM), pp. 654–655.
POPLPOPL-1996-Jim #question #what
What Are Principal Typings and What Are They Good For? (TJ), pp. 42–53.
CADECADE-1996-Scott #automation #deduction #what
What Can We Hope to Achieve From Automated Deduction? (Abstract) (DSS), p. 245.
STOCSTOC-1995-DiaconisS #algorithm #question #what
What do we know about the Metropolis algorithm? (PD, LSC), pp. 112–129.
STOCSTOC-1995-HenzingerKPV #automaton #decidability #hybrid #question #what
What’s decidable about hybrid automata? (TAH, PWK, AP, PV), pp. 373–382.
CHICHI-1995-OlsonOM #design #question #realtime #video #what
What Mix of Video and Audio is Useful for Small Groups Doing Remote Real-Time Design Work? (JSO, GMO, DKM), pp. 362–368.
CHICHI-1995-RoeslerM #data access #online #taxonomy #what
What Help Do Users Need?: Taxonomies for On-Line Information Needs and Access Methods (AWR, SGM), pp. 437–441.
TLCATLCA-1995-Bierman #category theory #linear #logic #question #what
What is a Categorical Model of Intuitionistic Linear Logic? (GMB), pp. 78–93.
CHICHI-1994-WhittakerFD94a #communication #how #question #what
Informal workplace communication: what is it like and how might we support it? (SW, DF, ODJ), pp. 131–137.
AdaTRI-Ada-1994-SitaramanFFFHMW #education #question #what
What Changes Are Needed For Undergraduate CS Curricula to Educate “Software Engineers”? (MS, MBF, GAF, WBF, JEH, DFM, BWW), p. 220.
ICSEICSE-1994-BrodmanJ #case study #experience #what
What Small Business and Small Organizations Say About the CMM: Experience Report (JGB, DLJ), pp. 331–340.
CADECADE-1994-Platek #proving #what
What is a Proof? (Abstract) (RP), p. 431.
SIGMODSIGMOD-1993-Egenhofer #database #navigation #requirements #what
What’s Special about Spatial? Database Requirements for Vehicle Navigation in Geographic Space (Extended Abstract) (MJE), pp. 398–402.
ICSMECSM-1993-Caldiera #maintenance #standard #what
Standards for Software Maintenance — What We Have and What We Need (GC), p. 103.
STOCSTOC-1993-NaorS #question #what
What can be computed locally? (MN, LJS), pp. 184–193.
ICALPICALP-1993-KannegantiC #higher-order #programming language #question #what
What is a Universal Higher-Order Programming Language? (RK, RC), pp. 682–695.
CHIINTERCHI-1993-HerbslebK #design #what
Preserving knowledge in design projects: what designers need to know (JDH, EK), pp. 7–14.
AdaTRI-Ada-1993-Brett #ada #compilation #implementation #what
Smart Recompilation: What Is It?, Its Benefits for the User, and Its Implementation in the DEC Ada Compilation System (BRB), pp. 277–287.
RERE-1993-KuwanaH #empirical #representation #requirements #what
Representing knowledge in requirements engineering: an empirical study of what software engineers need to know (EK, JDH), pp. 273–276.
SIGMODSIGMOD-1992-Rosenthal #what
What Can We Do to Strengthen the Connection Between Theory and System Builders (AR), p. 101.
ICALPICALP-1992-HenzingerMP #question #what
What Good Are Digital Clocks? (TAH, ZM, AP), pp. 545–558.
AdaTRI-Ada-C-1992-Beidler #component #education #tool support #what
Building on the Booch Components: What Can Be Learned When Modifying Real World Software Tools for Educational Use (JB), pp. 157–164.
KRKR-1992-Reiter #reasoning #research #what
Twelve Years of Nonmonotonic Reasoning Research: Where (and What) Is the Beef (RR), p. 789.
OOPSLAOOPSLA-1992-LiuGG #learning #object-oriented #question #what
What Contributes to Successful Object-Oriented Learning? (CL, SG, BG), pp. 77–86.
TOOLSTOOLS-USA-1992-Odberg #database #object-oriented #query #what
What “What” is and isn’t: On Query Languages for Object-Oriented Databases, or: Closing the Gap — Again (EO), pp. 13–24.
ASEKBSE-1991-Sasso91a #question #what
Encouraging the Adoption of KBSE Technology: What Needs to Happen First? (WCS), pp. 237–238.
HTHT-1991-ThuringHH #how #what
What’s Eliza Doing in the Chinese Room? Incoherent Hyperdocuments — and How to Avoid Them (MT, JMH, JH), pp. 161–177.
CSEETSEI-1991-RiedlWFKM #re-engineering #what
What We Have Learned About Software Engineering Expertise (TRR, JSW, JTF, GAK, JDM), pp. 261–270.
FPCAFPCA-1991-FrandsenS #implementation #performance #question #what #λ-calculus
What is an Efficient Implementation of the λ-calculus? (GSF, CS), pp. 289–312.
ECOOPECOOP-1991-PalsbergS #question #reuse #type safety #what
What is Type-Safe Code Reuse? (JP, MIS), pp. 325–341.
CHICHI-1990-CushmanOD #performance #question #requirements #what
Usable OCR: what are the minimum performance requirements? (WHC, PSO, CMD), pp. 145–152.
CHICHI-1990-Jacob #eye tracking #interactive #what
What you look at is what you get: eye movement-based interaction techniques (RJKJ), pp. 11–18.
CHICHI-1990-Winograd #education #human-computer #interactive #what
What can we teach about human-computer interaction? (plenary address) (TW), pp. 443–448.
CSCWCSCW-1990-MaloneC #coordination #design #how #question #what
What is Coordination Theory and How Can It Help Design Cooperative Work Systems? (TWM, KC), pp. 357–370.
SEKESEKE-1990-VolovikMT #re-engineering #what
What Software Engineering Can Learn From Practitioners (DV, RM, WTT), pp. 216–221.
OOPSLAOOPSLA-ECOOP-1990-BockerH #what
What Tracers Are Made Of (HDB, JH), pp. 89–99.
ICLPCLP-1990-Reiter90 #database #question #what
What Should a Database Know? (RR), p. 765.
HTHT-1989-HalaszMMPS #named #what
Confessions — What’s Wrong with Our Systems (FGH, DLM, NKM, AP, BS), p. 399.
HTHT-1989-Lesk #what
What To Do When There’s Too Much Information (ML), pp. 305–318.
CHICHI-1989-BlackBMC #effectiveness #learning #online #question #what
On-line tutorials: What kind of inference leads to the most effective learning? (JBB, JSB, MM, JMC), pp. 81–83.
CHICHI-1989-Moran #question #what
What is EuroParc? (TPM), pp. 51–52.
KRKR-1989-Lehmann #knowledge base #question #what
What Does a Conditional Knowledge Base Entail? (DJL), pp. 212–222.
KRKR-1989-Poole #reasoning #what
What the Lottery Paradox Tells Us About Default Reasoning (DP), pp. 333–340.
ICMLML-1989-RuffD #question #what
What Good Are Experiments? (RAR, TGD), pp. 109–112.
ICMLML-1989-VanLehn #problem #what
Discovering Problem Solving Strategies: What Humans Do and Machines Don’t (Yet) (KV), pp. 215–217.
ICSEICSE-1989-Boehm #generative #process #what
What We Really Need Are Process Model Generators (BWB), p. 397.
PODSPODS-1988-Reiter #database #question #what
What Should A Database Know? (RR), pp. 302–304.
CSEETSEI-1988-Werth #how #tool support #what #why
Software Tools at the University: Why, What and How (LHW), pp. 169–186.
ECOOPECOOP-1988-MadsenM #object-oriented #programming #what
What Object-Oriented Programming May Be — and What It Does Not Have To Be (OLM, BMP), pp. 1–20.
ECOOPECOOP-1988-WegnerZ #incremental #inheritance #what
Inheritance as an Incremental Modification Mechanism or What Like Is and Isn’t Like (PW, SBZ), pp. 55–77.
HCIHCI-CE-1987-Salvendy #development #human-computer #interactive #research #what
What We Know and What We Should Know About Human-Computer Interaction: Strategies for Research and Development (GS), pp. 13–19.
HCIHCI-CE-1987-Soloway #specification #what
I Can’t Tell What in the Code Implements What in the Specs (ES), pp. 317–328.
ECOOPECOOP-1987-Stroustrup #object-oriented #programming #what
What is “Object-Oriented Programming?” (BS), pp. 51–70.
CADECADE-1986-Eisinger #graph #what
What You Always Wanted to Know About Clause Graph Resolution (NE), pp. 316–336.
DACDAC-1985-KowalskiT #automation #design #knowledge base #what
The VLSI design automation assistant: what’s in a knowledge base (TJK, DET), pp. 252–258.
POPLPOPL-1985-Lamport #concurrent #specification #what #why
What It Means for a Concurrent Program to Satisfy a Specification: Why No One Has Specified Priority (LL), pp. 78–83.
DACDAC-1984-Smith #layout #tool support #what
Basic turorial layout tools — what really is there (RS), p. 219.
POPLPOPL-1984-HalpernMT #question #semantics #what
The Semantics of Local Storage, or What Makes the Free-List Free? (JYH, ARM, BAT), pp. 245–257.
ICSEICSE-1984-MaibaumT #on the #what
On What Exactly Is Going On When Software Is Developed Step-by-Step (TSEM, WMT), pp. 528–533.
SIGIRSIGIR-1982-Henrichs #information retrieval #question #what
The Growing Crisis of Traditional Information Retrieval Systems — What is to Follow? (NH), pp. 1–12.
ICLPILPC-1982-Kurokawa82 #logic programming #re-engineering #what
Logic Programming — What Does it Bring to the Software Engineering (TK), pp. 134–138.
DACDAC-1981-Burdick #design #formal method #process #what
What to do when the seat of your pants wears out — the formalization of the VLSI design process (EB), pp. 708–709.
DACDAC-1980-Armstrong #what
A CAD user’s perspective what gets done right wrong and not at all (Position Paper) (RAA), p. 517.
VLDBVLDB-1980-BernsteinG #normalisation #question #what
What does Boyce-Codd Normal Form Do? (PAB, NG), pp. 245–259.
VLDBVLDB-1978-BrodieS #data type #question #what
What is the Use of Abstract Data Types? (MLB, JWS), pp. 140–141.
VLDBVLDB-1978-Johnson #question #what
What End-User Facilities do we Need? (FEJ), p. 126.
VLDBVLDB-1978-Sharman #metamodelling #question #semantics #what
What is a “Good” Semantic or Meta Model? (GS), p. 138.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.