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Tag #why

317 papers:

ASPLOSASPLOS-2020-0002PJ #how #performance
Why GPUs are Slow at Executing NFAs and How to Make them Faster (HL0, SP, AJ), pp. 251–265.
EDMEDM-2019-DingL
Why Deep Knowledge Tracing has less Depth than Anticipated (XD, ECL).
CHI-PLAYCHI-PLAY-2019-CaiWF #game studies #online
Who Purchases and Why?: Explaining Motivations for In-game Purchasing in the Online Survival Game Fortnite (JC, DYW, GF), pp. 391–396.
CHI-PLAYCHI-PLAY-2019-WohnJESSD #comprehension #people #question
Understanding Digital Patronage: Why Do People Subscribe to Streamers on Twitch? (DYW, PJ, PE, JSSJ, MS, PD), pp. 99–110.
ICMLICML-2019-BrutzkusG #modelling #problem
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem (AB, AG), pp. 822–830.
ESEC-FSEESEC-FSE-2019-DavisMCSL #empirical #regular expression
Why aren't regular expressions a lingua franca? an empirical study on the re-use and portability of regular expressions (JCD, LGMI, CAC, FS, DL), pp. 443–454.
ICSE-2019-AlamiCW #code review #community #open source #overview #question
Why does code review work for open source software communities? (AA, MLC, AW), pp. 1073–1083.
ICSE-2019-BarcombSR0 #community #question #volunteer
Why do episodic volunteers stay in FLOSS communities? (AB, KJS, DR, BF0), pp. 948–954.
ICSTICST-2019-BorgesZ #automation #resource management
Why Does this App Need this Data? Automatic Tightening of Resource Access (NPBJ, AZ), pp. 449–456.
JCDLJCDL-2018-Strasser #communication #matter #open source
Open Source Tech for Scholarly Communication: Why It Matters (CS), p. 5.
ICSMEICSME-2018-SawantHVSB #motivation
Why are Features Deprecated? An Investigation Into the Motivation Behind Deprecation (AAS, GH, GV, SS, AB), pp. 13–24.
MSRMSR-2018-WangLL0X #android #empirical #game studies #scalability
Why are Android apps removed from Google Play?: a large-scale empirical study (HW, HL, LL0, YG0, GX), pp. 231–242.
SANERSANER-2018-BritoXHV #api #developer #how #java
Why and how Java developers break APIs (AB, LX, ACH, MTV), pp. 255–265.
CHI-PLAYCHI-PLAY-2018-Ferguson #game studies
Sex, Lies and Videogames: Why Videogames Still Struggle to Overcome Moral Panic (CJF), p. 1.
DiGRADiGRA-2018-Gianmarco #game studies
Quilting the meaning: gameplay as catalyst of signification and why to co-op in game studies (TGG).
DiGRADiGRA-2018-ToftedahlBE #game studies #how #locality #question
Localization from an Indie Game Production Perspective - Why, When and How? (MT, PB, HE).
FDGFDG-2018-KumariDK #design #game studies
Why game designers should study magic (SK, SD, GK), p. 8.
CoGVS-Games-2018-RappNL #artificial reality #overview
The Impact of Pokémon Go and Why It's Not about Augmented Reality - Results from a Qualitative Survey (DR, FN, MEL), pp. 1–2.
POPLPOPL-2018-MajumdarN #debugging #effectiveness #question #random testing #testing
Why is random testing effective for partition tolerance bugs? (RM, FN), p. 24.
ICSE-2018-SpadiniASBB #code review #developer #how #overview #testing
When testing meets code review: why and how developers review tests (DS, MFA, MADS, MB, AB), pp. 677–687.
ICSE-2018-VendomeGPBVP #debugging #matter
To distribute or not to distribute?: why licensing bugs matter (CV, DMG, MDP, GB, MLV, DP), pp. 268–279.
IJCARIJCAR-2018-MelquiondR #algorithm #framework #proving
A Why3 Framework for Reflection Proofs and Its Application to GMP's Algorithms (GM, RRH), pp. 178–193.
EDMEDM-2017-HuRB #standard
Why data standards are critical for EDM and AIED (XH, RR, AB).
SANERSANER-2017-XavierHV #api #developer
Why do we break APIs? First answers from developers (LX, ACH, MTV), pp. 392–396.
ICMLICML-2017-OsbandR #learning #question
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? (IO, BVR), pp. 2701–2710.
KDDKDD-2017-JohariKPW #matter #testing #what
Peeking at A/B Tests: Why it matters, and what to do about it (RJ, PK, LP, DW0), pp. 1517–1525.
MoDELSMoDELS-2017-MaozPRS #component #question #satisfiability #specification
Why is My Component and Connector Views Specification Unsatisfiable? (SM, NP, JOR, RS), pp. 134–144.
OOPSLAOOPSLA-2017-CogumbreiroSMSV #concurrent #parallel #source code
Deadlock avoidance in parallel programs with futures: why parallel tasks should not wait for strangers (TC, RS, FM, VS, VTV, MG), p. 26.
ASEASE-2017-TomasdottirAD #developer #how #javascript
Why and how JavaScript developers use linters (KFT, MFA, AvD), pp. 578–589.
ESEC-FSEESEC-FSE-2017-AbdalkareemNWMS #case study #developer #empirical
Why do developers use trivial packages? an empirical case study on npm (RA, ON, SW, SM, ES), pp. 385–395.
ESEC-FSEESEC-FSE-2017-CoelhoV #open source
Why modern open source projects fail (JC, MTV), pp. 186–196.
ESEC-FSEESEC-FSE-2017-NelsonDDK #power of
The power of “why” and “why not”: enriching scenario exploration with provenance (TN, ND, DJD, SK), pp. 106–116.
ECSAECSA-2016-RostN #architecture #developer #documentation #effectiveness
Task-Specific Architecture Documentation for Developers - Why Separation of Concerns in Architecture Documentation is Counterproductive for Developers (DR, MN), pp. 102–110.
ICSMEICSME-2016-ShimagakiKMPU #case study #commit #comparative #industrial #open source
Why are Commits Being Reverted?: A Comparative Study of Industrial and Open Source Projects (JS, YK, SM, DP, NU), pp. 301–311.
IFM-2016-AmeriF #verification
Why Just Boogie? - Translating Between Intermediate Verification Languages (MA, CAF), pp. 79–95.
CIKMCIKM-2016-OuCC #question
Influence Maximization for Complementary Goods: Why Parties Fail to Cooperate? (HCO, CKC, MSC), pp. 1713–1722.
CIKMCIKM-2016-TsukudaHG #modelling #order
Why Did You Cover That Song?: Modeling N-th Order Derivative Creation with Content Popularity (KT, MH, MG), pp. 2239–2244.
ICMLICML-2016-ArpitZNG #question #representation
Why Regularized Auto-Encoders learn Sparse Representation? (DA, YZ, HQN0, VG), pp. 136–144.
ICMLICML-2016-Shalev-ShwartzW #how
Minimizing the Maximal Loss: How and Why (SSS, YW), pp. 793–801.
ICMLICML-2016-SimsekAK #problem
Why Most Decisions Are Easy in Tetris - And Perhaps in Other Sequential Decision Problems, As Well (ÖS, SA, AK), pp. 1757–1765.
KDDKDD-2016-Ribeiro0G #classification #predict #quote #trust
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier (MTR, SS0, CG), pp. 1135–1144.
AdaEuropeAdaEurope-2016-Burns #ada #physics #power of #programming language
Why the Expressive Power of Programming Languages Such as Ada Is Needed for Future Cyber Physical Systems (AB), pp. 3–11.
FSEFSE-2016-Herbsleb #coordination #how #research
Building a socio-technical theory of coordination: why and how (outstanding research award) (JDH), pp. 2–10.
FSEFSE-2016-SilvaTV #git
Why we refactor? confessions of GitHub contributors (DS, NT, MTV), pp. 858–870.
ICSE-2016-NadiKMB #api #developer #encryption #java #question
Jumping through hoops: why do Java developers struggle with cryptography APIs? (SN, SK, MM, EB), pp. 935–946.
ICSTICST-2016-HammoudiRT #question #testing #web
Why do Record/Replay Tests of Web Applications Break? (MH, GR, PT), pp. 180–190.
WICSAWICSA-2015-NaabBLHEMCK #architecture #case study #design #ecosystem #experience #mobile #prototype #scalability
Why Data Needs more Attention in Architecture Design — Experiences from Prototyping a Large-Scale Mobile App Ecosystem (MN, SB, TL, SH, AE, DM, RC, FK), pp. 75–84.
JCDLJCDL-2015-ChenSTL #question #social #social media
Why Do Social Media Users Share Misinformation? (XC, SCJS, YLT, CSL), pp. 111–114.
SIGMODSIGMOD-2015-CSKZYRPAKDRD #big data #industrial #what
Why Big Data Industrial Systems Need Rules and What We Can Do About It (PSGC, CS, KGK, HZ, FY, NR, SP, EA, GK, RD, VR, AD), pp. 265–276.
EDMEDM-2015-Rau #equation #how #learning
Why Do the Rich Get Richer? A Structural Equation Model to Test How Spatial Skills Affect Learning with Representations (MAR), pp. 350–357.
ICSMEICSME-2015-CodobanRDB #case study #developer #how #lens
Software history under the lens: A study on why and how developers examine it (MC, SSR, DD, BB), pp. 1–10.
ICSMEICSME-2015-NittaM #abstraction
Delta extraction: An abstraction technique to comprehend why two objects could be related (NN, TM), pp. 61–70.
ICSMEICSME-2015-VendomeVBPGP #developer
When and why developers adopt and change software licenses (CV, MLV, GB, MDP, DMG, DP), pp. 31–40.
MSRMSR-2015-LinW #fine-grained
Why Power Laws? An Explanation from Fine-Grained Code Changes (ZL, JW), pp. 68–75.
MSRMSR-2015-SlagWB #stack overflow
One-Day Flies on StackOverflow — Why the Vast Majority of StackOverflow Users Only Posts Once (RS, MdW, AB), pp. 458–461.
SANERSANER-2015-AmmerlaanVZ #refactoring
Old habits die hard: Why refactoring for understandability does not give immediate benefits (EA, WV, AZ), pp. 504–507.
SANERSANER-2015-Mirakhorli #architecture #how #question #re-engineering #what
Software architecture reconstruction: Why? What? How? (MM), p. 595.
CHICHI-2015-CramerJ #communication #question #what
Couples’ Communication Channels: What, When & Why? (HC, MLJ), pp. 709–712.
CHICHI-2015-GanglbauerFG #what
Why and what did we throw out?: Probing on Reflection through the Food Waste Diary (EG, GF, FG), pp. 1105–1114.
CHICHI-2015-ZhangAK #how #question #what
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-MatthiesenB #development #framework #legacy #perspective
Why Replacing Legacy Systems Is So Hard in Global Software Development: An Information Infrastructure Perspective (SM, PB), pp. 876–890.
HCIHCI-UC-2015-Obwegeser #development #matter
Entrepreneurial IS Development: Why Techniques Matter and Methods Don’t (NO), pp. 218–225.
HCISCSM-2015-MillsF #effectiveness #framework #how #platform
A Computational Study of How and Why reddit.com was an Effective Platform in the Campaign Against SOPA (RM, AF), pp. 229–241.
KDDKDD-2015-RongCM #identification #modelling #social
Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events (YR, HC, ZM), pp. 1015–1024.
LOPSTRLOPSTR-2015-AmadiniGM #challenge
Why CP Portfolio Solvers Are (under)Utilized? Issues and Challenges (RA, MG, JM), pp. 349–364.
ESEC-FSEESEC-FSE-2015-BellerGPZ #developer #how #ide
When, how, and why developers (do not) test in their IDEs (MB, GG, AP, AZ), pp. 179–190.
ICSEICSE-v1-2015-LavalleeR #case study #developer #quality
Why Good Developers Write Bad Code: An Observational Case Study of the Impacts of Organizational Factors on Software Quality (ML, PNR), pp. 677–687.
ICSEICSE-v1-2015-TufanoPBOPLP #smell
When and Why Your Code Starts to Smell Bad (MT, FP, GB, RO, MDP, ADL, DP), pp. 403–414.
HTHT-2014-TanakaTT #classification #twitter
Why you follow: a classification scheme for twitter follow links (AT, HT, KT), pp. 324–326.
VLDBVLDB-2014-AlucOD #database #design #matter #rdf
Workload Matters: Why RDF Databases Need a New Design (GA, MTÖ, KD), pp. 837–840.
ITiCSEITiCSE-2014-BainB #programming #question
Why is programming so hard to learn? (GB, IB), p. 356.
ICSMEICSME-2014-KerzaziKA #automation #empirical
Why Do Automated Builds Break? An Empirical Study (NK, FK, BA), pp. 41–50.
SCAMSCAM-2014-LozanoNJ
Explaining Why Methods Change Together (AL, CN, VJ), pp. 185–194.
ICALPICALP-v1-2014-IaconoO
Why Some Heaps Support Constant-Amortized-Time Decrease-Key Operations, and Others Do Not (JI, ÖÖ), pp. 637–649.
CHICHI-2014-BensonK #how #web #what
End-users publishing structured information on the web: an observational study of what, why, and how (EB, DRK), pp. 1265–1274.
CHICHI-2014-Schoenebeck #how #social #social media #twitter
Giving up Twitter for Lent: how and why we take breaks from social media (SYS), pp. 773–782.
CHICHI-2014-ShayIRC #case study #experience #quote
“My religious aunt asked why i was trying to sell her viagra”: experiences with account hijacking (RS, II, RWR, SC), pp. 2657–2666.
CSCWCSCW-2014-XiaoWM #development #security #social #tool support
Social influences on secure development tool adoption: why security tools spread (SX, JW, ERMH), pp. 1095–1106.
ICEISICEIS-v1-2014-Dietz #enterprise
Why ERP Systems Will Keep Failing (JLGD), p. IX.
KDDKDD-2014-BarbieriBM #predict
Who to follow and why: link prediction with explanations (NB, FB, GM), pp. 1266–1275.
HILTHILT-2014-BaggeH #algebra #api #specification
Specification of generic APIs, or: why algebraic may be better than pre/post (AHB, MH), pp. 71–80.
VLDBVLDB-2013-Bress #gpu #hybrid #performance #query
Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS (SB), pp. 1398–1403.
ITiCSEITiCSE-2013-KnoxF #matter #question
Why does place matter? (DK, SF), pp. 171–176.
ITiCSEITiCSE-2013-Kurkovsky #mobile #question
Mobile computing and robotics in one course: why not? (SK), pp. 64–69.
MSRMSR-2013-AllamanisS #stack overflow #topic #what
Why, when, and what: analyzing stack overflow questions by topic, type, and code (MA, CAS), pp. 53–56.
MSRMSR-2013-ShokripourAKZ #debugging #recommendation
Why so complicated? simple term filtering and weighting for location-based bug report assignment recommendation (RS, JA, ZMK, SZ), pp. 2–11.
CHICHI-2013-KangBK #design #internet #people #policy
Why do people seek anonymity on the internet?: informing policy and design (RK, SB, SBK), pp. 2657–2666.
CHICHI-2013-MarcuTCGRSDK #comprehension #education
Why do they still use paper?: understanding data collection and use in Autism education (GM, KT, QC, JG, GR, KJS, AKD, SBK), pp. 3177–3186.
CHICHI-2013-RauARR #design #interactive #learning
Why interactive learning environments can have it all: resolving design conflicts between competing goals (MAR, VA, NR, SR), pp. 109–118.
CSCWCSCW-2013-BuhlerNH #chat #how #video
How and why teenagers use video chat (TB, CN, SH), pp. 759–768.
CSCWCSCW-2013-JacksonSB #policy
Why CSCW needs science policy (and vice versa) (SJJ, SBS, AGB), pp. 1113–1124.
HCIDUXU-WM-2013-Lopez-OrnelasAZ #interface #question #web
Geospatial Web Interfaces, Why Are They So “Complicated”? (ÉLO, RAM, JSZH), pp. 231–237.
KDDKDD-2013-FuLLFHS #feedback #mobile #people
Why people hate your app: making sense of user feedback in a mobile app store (BF, JL, LL, CF, JIH, NMS), pp. 1276–1284.
SEKESEKE-2013-BurnayJF #matter #problem #requirements #what
Context Factors: What they are and why they matter for Requirements Problems (CB, IJ, SF), pp. 30–35.
ECOOPECOOP-2013-TasharofiDJ #concurrent #developer #modelling #question #scala
Why Do Scala Developers Mix the Actor Model with other Concurrency Models? (ST, PD, REJ), pp. 302–326.
OnwardOnward-2013-Aldrich #power of
The power of interoperability: why objects are inevitable (JA), pp. 101–116.
RERE-2013-VogelsanagF #challenge #dependence #empirical #requirements
Why feature dependencies challenge the requirements engineering of automotive systems: An empirical study (AV, SF), pp. 267–272.
ICSEICSE-2013-JohnsonSMB #debugging #developer #question #static analysis #tool support
Why don’t software developers use static analysis tools to find bugs? (BJ, YS, ERMH, RWB), pp. 672–681.
ICSEICSE-2013-RahmanD #how #metric #process
How, and why, process metrics are better (FR, PTD), pp. 432–441.
ICSEICSE-2013-RastkarM #question
Why did this code change? (SR, GCM), pp. 1193–1196.
ASPLOSASPLOS-2013-CheckowayS #api
Iago attacks: why the system call API is a bad untrusted RPC interface (SC, HS), pp. 253–264.
ASPLOSASPLOS-2013-OliveiraFDHS
Why you should care about quantile regression (ABdO, SF, AD, MH, PFS), pp. 207–218.
ESOPESOP-2013-FilliatreP #named #proving #source code
Why3 — Where Programs Meet Provers (JCF, AP), pp. 125–128.
LICSLICS-2013-Fontaine #consistency #query #question
Why is it Hard to Obtain a Dichotomy for Consistent Query Answering? (GF), pp. 550–559.
ICSTSAT-2013-Clarke
Turing’s Computable Real Numbers and Why They Are Still Important Today (EMC), p. 18.
SIGITESIGITE-2012-Thompson #community #development #education
Why tenure is not a private sector term: a look at the role of educational institutions in a changing world of commercialization, investing, and community development (RT), pp. 1–2.
CSMRCSMR-2012-TollO #game studies #question
Why is Unit-testing in Computer Games Difficult? (DT, TO), pp. 373–378.
ICSMEICSM-2012-ZhangPXZ #developer #what
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
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-ArthoSCTZ #question
Why do software packages conflict? (CA, KS, RDC, RT, SZ), pp. 141–150.
CHICHI-2012-LeonUSWBC #behaviour #evaluation #online #tool support #usability
Why Johnny can’t opt out: a usability evaluation of tools to limit online behavioral advertising (PGL, BU, RS, YW, RB, LFC), pp. 589–598.
CSCWCSCW-2012-DongF #communication
One piece at a time: why video-based communication is better for negotiation and conflict resolution (WD, WTF), pp. 167–176.
CIKMCIKM-2012-BlancoCLPS #exclamation #recommendation
You should read this! let me explain you why: explaining news recommendations to users (RB, DC, CL, RP, FS), pp. 1995–1999.
HILTHILT-2012-Leino12a #proving #using #verification
Program proving using intermediate verification languages (IVLs) like boogie and why3 (KRML), pp. 25–26.
REFSQREFSQ-2012-Lauesen
Why the Electronic Land Registry Failed (SL), pp. 1–15.
REFSQREFSQ-2012-MahauxMH #how #people #requirements
Choose Your Creativity: Why and How Creativity in Requirements Engineering Means Different Things to Different People (MM, AM, PH), pp. 101–116.
ICSEICSE-2012-Johnson #case study #question #static analysis #tool support #using
A study on improving static analysis tools: Why are we not using them? (BJ), pp. 1607–1609.
ISMMISMM-2012-OCallahan #memory management #question #using #web
Why is your web browser using so much memory? (RO), pp. 1–2.
ICLPICLP-2012-BaralVL #how #knowledge base
Answering Why and How questions with respect to a frame-based knowledge base: a preliminary report (CB, NHV, SL), pp. 26–36.
WICSAWICSA-2011-Smet #architecture #health #question
The Dutch Nationwide Electronic Health Record: Why the Centralised Services Architecture? (KdS), pp. 181–186.
CHICHI-2011-ChettyHBOSG #internet #network
Why is my internet slow?: making network speeds visible (MC, DH, AB, UO, BS, REG), pp. 1889–1898.
CHICHI-2011-DabbishMG #self
Why do i keep interrupting myself?: environment, habit and self-interruption (LD, GM, VMG), pp. 3127–3130.
CHICHI-2011-LindqvistCWHZ #people
I’m the mayor of my house: examining why people use foursquare — a social-driven location sharing application (JL, JC, JW, JIH, JZ), pp. 2409–2418.
CSCWCSCW-2011-BalakrishnanKCZ #integration #matter #research #what
Research team integration: what it is and why it matters (ADB, SBK, JNC, RZ), pp. 523–532.
HCIDUXU-v1-2011-Innes #design #enterprise
Why Enterprises Can’t Innovate: Helping Companies Learn Design Thinking (JI), pp. 442–448.
HCIDUXU-v1-2011-Pratschke #human-computer #image #matter #visual notation
Why History Matters: Visual Innovation and the Role of Image Theory in HCI (MP), pp. 277–284.
HCIDUXU-v1-2011-SirotkinM #difference #experience #in the cloud #user interface
The New Experience for Business: Why User Experience Is the Differentiation Strategy in the Cloud Context (AS, BM), pp. 491–499.
HCIHCI-UA-2011-AbrahamJ #comprehension #perspective
An Enriched Understanding of Why the Environment and Individual Characteristics Are Important in Understanding Technology Utilization in Healthcare: An Evolutionary Psychology Perspective (CA, IAJ), pp. 141–150.
HCIHCI-UA-2011-Loiacono-MelloDTP #case study #generative
Why Virtual Job Recruitment Is Not Well Accepted by Generation Y? — A Case Study on Second Life (ETLM, SD, BT, OVP), pp. 245–254.
CIKMCIKM-2011-LangeN #metric #similarity
Frequency-aware similarity measures: why Arnold Schwarzenegger is always a duplicate (DL, FN), pp. 243–248.
CIKMCIKM-2011-YangZKL #how #learning #question
Can irrelevant data help semi-supervised learning, why and how? (HY, SZ, IK, MRL), pp. 937–946.
SIGIRSIGIR-2011-GuoWZAD #comprehension #predict
Why searchers switch: understanding and predicting engine switching rationales (QG, RWW, YZ, BA, STD), pp. 335–344.
OOPSLAOOPSLA-2011-YangBFSM #matter
Why nothing matters: the impact of zeroing (XY, SMB, DF, JBS, KSM), pp. 307–324.
AdaSIGAda-2011-Carlisle #ada
Why i came back to Ada (MCC), pp. 37–38.
ICSEICSE-2011-StreitP #how #quality
Why software quality improvement fails: (and how to succeed nevertheless) (JS, MP), pp. 726–735.
CGOCGO-2011-Leroy #compilation #how #question #verification
Formally verifying a compiler: Why? How? How far? (XL).
DACDAC-2011-Heiser #embedded #question
Virtualizing embedded systems: why bother? (GH), pp. 901–905.
DACDAC-2011-Hu #how
New sub-20nm transistors: why and how (CH), pp. 460–463.
ICSTICST-2011-Sun #debugging #question
Why are Bug Reports Invalid? (JS), pp. 407–410.
JCDLJCDL-2010-MakriBC #behaviour #what
This is what I’m doing and why: reflections on a think-aloud study of dl users’ information behaviour (SM, AB, ALC), pp. 349–352.
CSEETCSEET-2010-Thompson #effectiveness #industrial #re-engineering
Why Better Industrial/Academic Links Are Needed If There is to Be an Effective Software Engineering Workforce (JBT), pp. 105–112.
SCAMSCAM-2010-Harman #analysis #source code
Why Source Code Analysis and Manipulation Will Always be Important (MH), pp. 7–19.
CHICHI-2010-AhlstromCGI #design #modelling
Why it’s quick to be square: modelling new and existing hierarchical menu designs (DA, AC, CG, PI), pp. 1371–1380.
CHICHI-2010-DearmanT #exclamation
Why users of yahoo!: answers do not answer questions (DD, KNT), pp. 329–332.
CHICHI-2010-HsiehKH #how
Why pay?: exploring how financial incentives are used for question & answer (GH, REK, SEH), pp. 305–314.
CHICHI-2010-MorrisTP #behaviour #network #overview #people #social #what
What do people ask their social networks, and why?: a survey study of status message q&a behavior (MRM, JT, KP), pp. 1739–1748.
CSCWCSCW-2010-BardramH #case study #coordination
Why the plan doesn’t hold: a study of situated planning, articulation and coordination work in a surgical ward (JEB, TRH), pp. 331–340.
SOFTVISSOFTVIS-2010-Booch #developer #diagrams #question
Why don’t developers draw diagrams? (GB), pp. 3–4.
ICEISICEIS-HCI-2010-PereiraBS #question #social
A Framework-informed Discussion on Social Software — Why Some Social Software Fail and Others do Not? (RP, MCCB, SRPdS), pp. 149–154.
ECIRECIR-2010-AnderkaSP #bound #similarity
Cross-Language High Similarity Search: Why No Sub-linear Time Bound Can Be Expected (MA, BS, MP), pp. 640–644.
KDDKDD-2010-AttenbergP #classification #learning #modelling
Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance (JA, FJP), pp. 423–432.
SASSAS-2010-Lesens #question #static analysis #using
Using Static Analysis in Space: Why Doing so? (DL), pp. 51–70.
RERE-2010-LiuLP #overview #requirements
Why Requirements Engineering Fails: A Survey Report from China (LL, TL, FP), pp. 317–322.
LDTALDTA-2009-BaggeH10 #concept #matter
Interfacing Concepts: Why Declaration Style Shouldn’t Matter (AHB, MH), pp. 37–50.
DATEDATE-2010-Horowitz #design
Why design must change: Rethinking digital design (MH), p. 791.
FASEFASE-2010-Harman #optimisation
Why the Virtual Nature of Software Makes It Ideal for Search Based Optimization (MH), pp. 1–12.
SIGMODSIGMOD-2009-ChapmanJ #question
Why not? (AC, HVJ), pp. 523–534.
SIGMODSIGMOD-2009-DasguptaZDC #database #how #privacy #question
Privacy preservation of aggregates in hidden databases: why and how? (AD, NZ, GD, SC), pp. 153–164.
EDMEDM-2009-MostowB #how #lessons learnt #what
Why, What, and How to Log? Lessons from LISTEN (JM, JB), pp. 269–278.
ITiCSEITiCSE-2009-DeePBP #case study #experience #women
Why are we still here?: experiences of successful women in computing (HMD, KEP, RDB, RP), pp. 233–237.
CHICHI-2009-HerringCKB #comprehension #design #exclamation #how
Getting inspired!: understanding how and why examples are used in creative design practice (SRH, CCC, JK, BPB), pp. 87–96.
CHICHI-2009-LimDA
Why and why not explanations improve the intelligibility of context-aware intelligent systems (BYL, AKD, DA), pp. 2119–2128.
CHICHI-2009-NylanderLB #internet #people
At home and with computer access: why and where people use cell phones to access the internet (SN, TL, AB), pp. 1639–1642.
CHICHI-2009-OdomPSB #comprehension #design #interactive
Understanding why we preserve some things and discard others in the context of interaction design (WO, JP, ES, EB), pp. 1053–1062.
CHICHI-2009-YataniCJT #comprehension #development #diagrams #how #open source
Understanding how and why open source contributors use diagrams in the development of Ubuntu (KY, EC, CJ, KNT), pp. 995–1004.
CHICHI-2009-ZhouAZ #maintenance
I just don’t know why it’s gone: maintaining informal information use in inpatient care (XZ, MSA, KZ), pp. 2061–2070.
HCIHCD-2009-KohNTTWH #analysis
Why Taking Medicine Is a Chore — An Analysis of Routine and Contextual Factors in the Home (WKK, JN, OYT, ZT, AHYW, MGH), pp. 452–461.
HCIOCSC-2009-BrandtzaegH #network #people #social
Why People Use Social Networking Sites (PBB, JH), pp. 143–152.
ECOOPECOOP-2009-Jones #haskell #what
Classes, Jim, But Not as We Know Them — Type Classes in Haskell: What, Why, and Whither (SLPJ), p. 1.
CSEETCSEET-2008-DeKoenigsberg #how #open source #student
How Successful Open Source Projects Work, and How and Why to Introduce Students to the Open Source World (GD), pp. 274–276.
ITiCSEITiCSE-2008-Hall #web #what
What is web science and why is it important to CSE (WH), pp. 1–2.
CSCWCSCW-2008-PriedhorskyT #how #what
The computational geowiki: what, why, and how (RP, LGT), pp. 267–276.
ICEISICEIS-DISI-2008-PennesiHRWS #what
WWW++ — Adding Why to What, When and Where (PP, MH, CR, CYW, SS), pp. 304–309.
ICEISICEIS-ISAS2-2008-Nobre #design #social
Why Heidegger? — Critical Insights for IS Design from Pragmatism and from Social Semiotics (ÂLN), pp. 435–441.
ICSEICSE-2008-KoM #behaviour #debugging
Debugging reinvented: asking and answering why and why not questions about program behavior (AJK, BAM), pp. 301–310.
ICSEICSE-2008-NiggemannS #modelling
Models for model’s sake: why explicit system models are also an end to themselves (ON, JS), pp. 561–570.
DACDAC-2008-Haensch #3d #integration #question
Why should we do 3D integration? (WH), pp. 674–675.
HTHT-2007-schraefel #question #semantics #web #what
What is an analogue for the semantic web and why is having one important? (MMCS), pp. 123–132.
SIGMODSIGMOD-2007-GrustRT #off the shelf #xpath
Why off-the-shelf RDBMSs are better at XPath than you might expect (TG, JR, JT), pp. 949–958.
VLDBVLDB-2007-IvesDR #adaptation #how #query #question #what
Adaptive query processing: Why, How, When, and What Next? (ZGI, AD, VR), pp. 1426–1427.
VLDBVLDB-2007-PossNW #analysis
Why You Should Run TPC-DS: A Workload Analysis (MP, RON, DW), pp. 1138–1149.
CSEETCSEET-2007-WilliamsL #question
Lab Partners: If They’re Good Enough for the Natural Sciences, Why Aren’t They Good Enough for Us? (LW, LL), pp. 72–82.
HaskellHaskell-2007-Mainland #haskell
Why it's nice to be quoted: quasiquoting for haskell (GM), pp. 73–82.
CHICHI-2007-AmesN #mobile #online
Why we tag: motivations for annotation in mobile and online media (MA, MN), pp. 971–980.
CHICHI-2007-CherubiniVDK #developer #how
Let’s go to the whiteboard: how and why software developers use drawings (MC, GV, RD, AJK), pp. 557–566.
CHICHI-2007-KalnikaiteW #memory management #people
Software or wetware?: discovering when and why people use digital prosthetic memory (VK, SW), pp. 71–80.
HCIHCI-IDU-2007-FujimuraSMKSIMOWFT #case study
Why Does IT Support Enjoyment of Elderly Life? — Case Studies Performed in Japan (KF, HS, TM, KK, KiS, YI, SM, KO, TW, YF, TT), pp. 756–764.
HCIHCI-IDU-2007-Karjalainen #analysis
Why It Is Difficult to Use a Simple Device: An Analysis of a Room Thermostat (SK), pp. 544–548.
SPLCSPLC-2007-TischerMKG #product line
Why does it take that long? Establishing Product Lines in the Automotive Domain (CT, AM, MK, LG), pp. 269–274.
SACSAC-2007-Savoy #topic
Why do successful search systems fail for some topics (JS), pp. 872–877.
CAVCAV-2007-FilliatreM #deduction #framework #platform #verification
The Why/Krakatoa/Caduceus Platform for Deductive Program Verification (JCF, CM), pp. 173–177.
SIGMODSIGMOD-2006-DeshpandeHR #adaptation #how #query #what
Adaptive query processing: why, how, when, what next (AD, JMH, VR), pp. 806–807.
CSEETCSEET-2006-Budgen #nondeterminism
Why should they believe us? Determinism, non-determinism and evidence (DB), p. 4.
CHICHI-2006-DhamijaTH
Why phishing works (RD, JDT, MAH), pp. 581–590.
CHICHI-2006-MyersWKC #user interface
Answering why and why not questions in user interfaces (BAM, DAW, AJK, DHC), pp. 397–406.
CAiSECAiSE-2006-HaggmarkA #analysis #logic #principle
Why Software Engineers Do Not Keep to the Principle of Separating Business Logic from Display: A Method Rationale Analysis (MH, PJÅ), pp. 399–413.
EDOCEDOC-2006-MutschlerBR #empirical #industrial #information management
Why Process-Orientation is Scarce: An Empirical Study of Process-oriented Information Systems in the Automotive Industry (BM, JB, MR), pp. 433–440.
SIGIRSIGIR-2006-TrotmanL06a #query
Why structural hints in queries do not help XML-retrieval (AT, ML), pp. 711–712.
POPLPOPL-2006-McKinna #dependent type #matter
Why dependent types matter (JM), p. 1.
AdaSIGAda-2006-Taft #ada #exclamation #using
Why you should be using Ada 2005 now! (STT), p. 75.
TACASTACAS-2006-GurfinkelC #abstraction #question
Why Waste a Perfectly Good Abstraction? (AG, MC), pp. 212–226.
ICLPICLP-2006-Lam #datalog #question #source code
Why Use Datalog to Analyze Programs? (MSL), p. 1.
VLDBVLDB-2005-Olstad #database #query
Why Search Engines are Used Increasingly to Offload Queries from Databases (BO), p. 1.
ITiCSEITiCSE-2005-BiancoT #process #question
Why are children left out of the CS rethinking process? (GMB, ST), p. 352.
ITiCSEITiCSE-2005-Penha-Lopes #open source #question
Why use an open source e-voting system? (JMPL), p. 412.
DiGRADiGRA-2005-Bittanti #game studies #quote
“Making Sense of Manhunt” or “Why We Play: The Seductions of Violent Entertainment” (MB).
DiGRADiGRA-2005-FicocelliG #development #game studies #question
B.Sc. Computer Game Development ... Why not? (LF, DG).
DiGRADiGRA-2005-Haines #game studies #question #women
Why are there so few women working in games? (LH).
DiGRADiGRA-2005-McGonigal #collaboration #design #distributed #exclamation #game studies
SuperGaming! Distributed Design for Massively Collaborative Play, or, Why I Love Bees (JM).
CHICHI-2005-ConsolvoSMLTP #people #social #what
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
Individual differences in multimodal integration patterns: what are they and why do they exist? (SLO, RL, RC), pp. 241–249.
ICEISICEIS-v5-2005-Murano #effectiveness #feedback #user interface
Why Anthropomorphic User Interface Feedback can be Effective and Preferred by Users (PM), pp. 12–19.
ICMLICML-2005-RosellHRP #learning
Why skewing works: learning difficult Boolean functions with greedy tree learners (BR, LH, SR, DP), pp. 728–735.
SIGIRSIGIR-2005-BastM #retrieval
Why spectral retrieval works (HB, DM), pp. 11–18.
RERE-2005-BerryDFGHW #question #requirements
To do or not to do: If the requirements engineering payoff is so good, why aren’t more companies doing it? (DMB, DD, AF, DCG, RH, AW), p. 447.
RERE-2005-SvetinovicBG #analysis #concept #identification #object-oriented #student
Concept Identification in Object-Oriented Domain Analysis: Why Some Students Just Don’t Get It (DS, DMB, MWG), pp. 189–198.
ICSEICSE-2005-Siegel #architecture #design #distributed #modelling #question
Why use the model driven architecture to design and build distributed applications? (JS), p. 37.
DATEDATE-2005-MellorWM #uml
Why Systems-on-Chip Needs More UML like a Hole in the Head (SJM, JRW, CM), pp. 834–835.
PPoPPPPoPP-2005-Hanrahan #hardware #performance #question
Why is graphics hardware so fast? (PH), p. 1.
ITiCSEITiCSE-WGR-2004-LeBlancD #education
Bioinformatics and computing curricula 2001: why computer science is well positioned in a post-genomic world (MDL, BDD), pp. 64–68.
ICFPICFP-2004-NeergaardM #type system
Types, potency, and idempotency: why nonlinearity and amnesia make a type system work (PMN, HGM), pp. 138–149.
KDDKDD-2004-JensenNG #classification #relational
Why collective inference improves relational classification (DJ, JN, BG), pp. 593–598.
KRKR-2004-Patel-Schneider #owl #question #what
What Is OWL (and Why Should I Care)? (PFPS), pp. 735–737.
SIGIRSIGIR-2004-Buckley04a #information retrieval
Why current IR engines fail (CB), pp. 584–585.
DATEDATE-v1-2004-KretzschmarNM #power management
Why Transition Coding for Power Minimization of On-Chip Buses Does Not Work (CK, AKN, DM), pp. 512–517.
STOCSTOC-2004-Wigderson #question
Depth through breadth, or why should we attend talks in other areas? (AW), p. 579.
CAVCAV-2004-Metzner #analysis #model checking
Why Model Checking Can Improve WCET Analysis (AM), pp. 334–347.
VMCAIVMCAI-2004-Wilhelm
Why AI + ILP Is Good for WCET, but MC Is Not, Nor ILP Alone (RW), pp. 309–322.
ITiCSEITiCSE-2003-BarkerG03a #experience #student
Why project courses sometimes widen the experience gap among students (LJB, KGD), p. 258.
DiGRADiGRA-2003-Myers
The attack of the backstories (and why they won't win) (DM).
RERE-2003-DeraitusM #requirements
Customer Requirements and User Requirements: Why the Discrepancies (MD, AM), p. 279.
ICSEICSE-2003-Fairbanks #architecture #case study #developer #experience #modelling
Why Can’t They Create Architecture Models Like “Developer X”? An Experience Report (GF), pp. 548–552.
JCDLJCDL-2002-SeadleDG
Why watermark?: the copyright need for an engineering solution (MSS, JRD, AG), pp. 324–325.
ITiCSEITiCSE-2002-HabermanA #recursion #student
The case of base cases: why are they so difficult to recognize? student difficulties with recursion (BH, HA), pp. 84–88.
ICALPICALP-2002-HitchcockL #complexity #strict
Why Computational Complexity Requires Stricter Martingales (JMH, JHL), pp. 549–560.
ICGTICGT-2002-Harel #behaviour #requirements
Can Behavioral Requirements Be Executed? (And Why Would We Want to Do So?) (DH), pp. 6–7.
CSCWCSCW-2002-BradnerM #distance #matter #persuasion
Why distance matters: effects on cooperation, persuasion and deception (EB, GM), pp. 226–235.
ICPRICPR-v2-2002-AltyncayD #classification #multi #normalisation #problem #question
Why Does Output Normalization Create Problems in Multiple Classifier Systems? (HA, MD), pp. 775–778.
SEKESEKE-2002-JorgensenM #development #how #predict #question
Combination of software development effort prediction intervals: why, when and how? (MJ, KM), pp. 425–428.
LDTALDTA-2002-Consel #domain-specific language #how #what
Domain-Specific Languages: What, Why, How (CC), p. 1.
DACDAC-2002-SeryBD #question
Life is CMOS: why chase the life after? (GS, SB, VD), pp. 78–83.
LCTESLCTES-SCOPES-2002-Fettweis #exclamation #named
DSPs: why don’t they just go away! (GF), p. 93.
WICSAWICSA-2001-BaragryR #architecture
Why We Need A Different View of Software Architecture (JB, KR), p. 125–?.
ICDARICDAR-2001-HuKLWN
Why Table Ground-Truthing is Hard (JH, RSK, DPL, GTW, GN), pp. 129–133.
JCDLJCDL-2001-CunninghamKR #library
An ethnographic study of technical support workers: why we didn’t build a tech support digital library (SJC, CK, NR), pp. 189–198.
ITiCSEITiCSE-2001-Kaczmarczyk #assessment #distance #education #student
Accreditation and student assessment in distance education: why we all need to pay attention (LCK), pp. 113–116.
ICALPICALP-2001-Nielsen #modelling #partial order #question
Modelling with Partial Orders — Why and Why Not? (MN), pp. 61–63.
CAiSECAiSE-2001-PerssonS #case study #enterprise #modelling
Why Enterprise Modelling? An Explorative Study into Current Practice (AP, JS), pp. 465–468.
SIGIRSIGIR-2001-TurpinH
Why Batch and User Evaluations Do Not Give the Same Results (AT, WRH), pp. 225–231.
SASSAS-2001-Schneider #security #what
Language-Based Security: What’s Needed and Why (FBS), p. 374.
STOCSTOC-2001-SpielmanT #algorithm #analysis #polynomial
Smoothed analysis of algorithms: why the simplex algorithm usually takes polynomial time (DAS, SHT), pp. 296–305.
IFMIFM-2000-Schulte #formal method #question
Why Doesn’t Anyone Use Formal Methods? (WS), pp. 297–298.
CHICHI-2000-EspinosaCRKSL #tool support
Coming to the wrong decision quickly: why awareness tools must be matched with appropriate tasks (JAE, JJC, LRG, REK, WLS, GL), pp. 392–399.
CAiSECAiSE-2000-KaindlM #question #research
Why Is It So Difficult to Introduce RE Research Results into Mainstream RE Practice? (HK, JM), pp. 7–12.
ICEISICEIS-2000-Vaast #how #question
Exploring Intranets: Why and How to Study Intranets in French Firms? (EV), pp. 499–505.
ICMLICML-2000-HsuHW #classification #naive bayes
Why Discretization Works for Naive Bayesian Classifiers (CNH, HJH, TTW), pp. 399–406.
UMLUML-2000-AtkinsonK #how #strict
Strict Profiles: Why and How (CA, TK), pp. 309–322.
TOOLSTOOLS-EUROPE-2000-Reenskaug #collaboration #how #uml #what
The What, Why and How of the UML Collaboration (TR), p. 476.
REICRE-2000-Greenspan #question #requirements
Why is it so Easy to Introduce Requirements Engineering Technology Transfer Panels into Mainstream Practice? (SJG), pp. 69–70.
REICRE-2000-Kaindl #question #requirements #research
Why is it so Difficult to Introduce Requirements Engineering Research Results into Mainstream Requirements Engineering Practice? (HK), pp. 67–68.
REICRE-2000-Mead #question #requirements #research
Why is it so Difficult to Introduce Requirements Engineering Research Results into Mainstream Requirements Engineering Practice? (NRM), pp. 75–76.
REICRE-2000-Parnas #documentation #requirements
Requirements Documentation: Why a Formal Basis is Essential (DLP), pp. 81–84.
ICSEICSE-2000-OsterweilBEGKM #re-engineering #research
Why don’t we get more (self?) respect: the positive impact of software engineering research upon practice (LJO, BWB, ME, VG, JK, EFM), p. 660.
ITiCSEITiCSE-1999-McCrackenW
Why? When an otherwise successful intervention fails (MM, RW), pp. 9–12.
ITiCSEITiCSE-1999-Siegel #infinity
Why do fools fall into infinite loops: singing to your computer science class (EVS), pp. 167–170.
HCIHCI-CCAD-1999-Wulf #modelling #quote
“Why did that happen?” — Building appropriate mental models on groupware functions (VW), pp. 338–342.
HCIHCI-EI-1999-BergB #enterprise #multi #question #user interface
Why extending ERP software with multi-user interfaces? (RJvdB, IMBS), pp. 1083–1087.
UMLUML-1999-DemeyerDT #uml
Why Unified is not Universal? UML Shortcomings for Coping with Round-trip Engineering (SD, SD, ST), pp. 630–644.
ESECESEC-FSE-1999-Zeller #question
Yesterday, My Program Worked. Today, It Does Not. Why? (AZ), pp. 253–267.
DACDAC-1999-DeHonW #automation #configuration management #design #what
Reconfigurable Computing: What, Why, and Implications for Design Automation (AD, JW), pp. 610–615.
DACDAC-1999-PrasadCK #question
Why is ATPG Easy? (MRP, PC, KK), pp. 22–28.
LCTESLCTES-1999-Engblom #benchmark #embedded #metric #tool support
Why SpecInt95 Should Not Be Used to Benchmark Embedded Systems Tools (JE), pp. 96–103.
ITiCSEITiCSE-1998-CurzonR #programming #question #student
Why do students take programming modules? (PC, JR), pp. 59–63.
ITiCSEITiCSE-1998-Kotze #hypermedia
Why the hypermedia model is inadequate for computer-based instruction (PK), pp. 148–152.
REFSQREFSQ-1998-YuM #requirements
Why Goal-Oriented Requirements Engineering (ESKY, JM), pp. 15–22.
ITiCSEITiCSE-1997-Moser #game studies #learning #what
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.
HCIHCI-CC-1997-ShafferC #identification #question #reduction
Identifying Areas for Workload Reduction Through System Changes: Why Bother? (MTS, HKC), pp. 497–500.
CAiSECAiSE-1997-CathalaP #behaviour #how
Preserving Behaviour: Why and How (FC, PP), pp. 333–346.
ICMLICML-1997-SchefferGD
Why Experimentation can be better than “Perfect Guidance” (TS, RG, CD), pp. 331–339.
KDDKDD-1997-Domingos
Why Does Bagging Work? A Bayesian Account and its Implications (PMD), pp. 155–158.
SACSAC-1997-ChungP #algorithm #problem #question #representation #search-based
Why is problem-dependent and high-level representation scheme better in a genetic algorithm? (SC, RP), pp. 239–246.
ITiCSEITiCSE-1996-Naps #algorithm #how #visualisation #web
Algorithm visualization served off the World Wide Web: why and how (TLN), pp. 66–71.
ICPRICPR-1996-Fainzilberg #recognition #statistics
Why relevant features may be unuseful in statistical recognition of two classes (LF), pp. 730–734.
ICPRICPR-1996-PlamondonG #question #segmentation
Why handwriting segmentation can be misleading? (RP, WG), pp. 396–400.
REICRE-1996-DeMarco #question #requirements
Requirements Engineering: Why Aren’t We Better at It? (TD), pp. 2–3.
ICSEICSE-1996-Schneider #how #prototype
Prototypes as Assets, not Toys: Why and How to Extract Knowledge from Prototypes (KS), pp. 522–531.
OOPSLAOOPSLA-1995-Riehle #encapsulation #how
How and Why to Encapsulate Class Trees (DR), pp. 251–264.
ESECESEC-1995-Bancilhon #database
Why We Need Object Databases (FB), pp. 3–4.
ICSEICSE-1995-GarlanAO #architecture
Architectural Mismatch or Why It’s Hard to Build Systems Out Of Existing Parts (DG, RA, JO), pp. 179–185.
VLDBVLDB-1994-Galindo-LegariaPK #performance #question #random
Fast, Randomized Join-Order Selection — Why Use Transformations? (CAGL, AP, MLK), pp. 85–95.
CHICHI-1994-RiemanLYP94a #architecture #consistency #interface #reasoning
Why is a raven like a writing desk?: lessons in interface consistency and analogical reasoning from two cognitive architectures (JR, CHL, RMY, PGP), pp. 438–444.
KRKR-1994-LinR #database #how #logic
How to Progress a Database (and Why) I. Logical Foundations (FL, RR), pp. 425–436.
PLDIPLDI-1994-Pugh #how
Counting Solutions to Presburger Formulas: How and Why (WP), pp. 121–134.
PPDPPLILP-1994-Smith #multi
Why Multi-SLD Beats SLD (Even on a Uniprocessor) (DAS), pp. 40–56.
ICSEICSE-1994-YuM #analysis #comprehension #design #modelling #process
Understanding “Why” in Software Process Modelling, Analysis, and Design (ESKY, JM), pp. 159–168.
SIGMODSIGMOD-1993-Vieille #database #deduction #how #object-oriented #question
A Deductive and Object-Oriented Database System: Why and How? (LV), p. 438.
CHIINTERCHI-1993-AllenBBMMNS #design #how #process #question
User involvement in the design process: why, when & how? (CDA, DB, VB, HHMJ, MM, JN, JMS), pp. 251–254.
ICMLML-1992-EtzioniM
Why EBL Produces Overly-Specific Knowledge: A Critique of the PRODIGY Approaches (OE, SM), pp. 137–143.
ECOOPECOOP-1992-Szyperski #inheritance
Import is Not Inheritance — Why We Need Both: Modules and Classes (CAS), pp. 19–32.
PPDPPLILP-1992-AptP #problem
Why the Occur-Check is Not a Problem (KRA, AP), pp. 69–86.
SOSPSOSP-WIP-1991-Druschel92 #architecture #composition #kernel #orthogonal
Modularity and Protection are Orthogonal, or “Why µ-kernel Architectures are Flawed” (PD), p. 22.
CHICHI-1990-GentnerG #interface
Why good engineers (sometimes) create bad interfaces (DRG, JG), pp. 277–282.
CSCWCSCW-1990-MarkusC #problem #tool support
Why CSCW Applications Fail: Problems in the Adoption of Interdependent Work Tools (MLM, TC), pp. 371–380.
PODSPODS-1989-CohenW #knowledge base #parallel
Why a Single Parallelization Strategy in not Enough in Knowledge Bases (SRC, OW), pp. 200–216.
CAiSECAiSE-1989-Rolland #automation #future of #modelling #on the #tool support
On the Future of Modelling — Why Current CASE Tools Insist on Supporting 20 Years Old Methods and Techniques (CR).
PODSPODS-1988-KolaitisP #fixpoint #question
Why Not Negation by Fixpoint? (PGK, CHP), pp. 231–239.
CSEETSEI-1988-Werth #how #tool support #what
Software Tools at the University: Why, What and How (LHW), pp. 169–186.
CSCWCSCW-1988-Grudin #design #evaluation #interface #problem
Why CSCW Applications Fail: Problems in the Design and Evaluation of Organization of Organizational Interfaces (JG), pp. 65–84.
SIGIRSIGIR-1988-Pevzner #database #how
Precedental Data Bases: How and Why They are Worked Out and Used (BP), pp. 117–125.
DACDAC-1988-Savir #design #verification
Why Partial Design Verification Works Better Than It Should (JS), pp. 704–707.
LICSLICS-1988-MullerSS #automaton #decidability #exponential #logic
Weak Alternating Automata Give a Simple Explanation of Why Most Temporal and Dynamic Logics are Decidable in Exponential Time (DEM, AS, PES), pp. 422–427.
SIGMODSIGMOD-1987-Hardwick #database #design #optimisation #performance
Why Rose is Fast: Five Optimizations in the Design of an Experimental Database System for CAD/CAM Applications (MH), pp. 292–298.
DACDAC-1987-HeilerDAOR #approach #data transformation #database #design #object-oriented
An Object-Oriented Approach to Data Management: Why Design Databases Need It (SH, UD, JAO, SRS), pp. 335–340.
POPLPOPL-1985-Lamport #concurrent #specification #what
What It Means for a Concurrent Program to Satisfy a Specification: Why No One Has Specified Priority (LL), pp. 78–83.
TAPSOFTAS-1985-ParnasC #design #how #process
A Rational Design Process: How and Why to Fake It (DLP, PCC), pp. 80–100.
TAPSOFTCAAP-1985-Makowsky #matter
Why Horn Formulas Matter in Computer Science: Initial Structures and Generic Examples (Extended Abstract) (JAM), pp. 374–387.
TAPSOFTCSE-1985-BerryW #prototype #specification
Specification and Prototyping: Some Thoughts on Why They Are Successful (DMB, JMW), pp. 117–128.

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