Proceedings of the 12th Working Conference on Mining Software Repositories
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Proceedings of the 12th Working Conference on Mining Software Repositories
MSR, 2015.

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@proceedings{MSR-2015,
	acmid         = "2820518",
	address       = "Florence, Italy",
	isbn          = "978-0-7695-5594-2",
	publisher     = "{IEEE}",
	title         = "{Proceedings of the 12th Working Conference on Mining Software Repositories}",
	year          = 2015,
}

Committee

  • Challenge Chair: Annie T. T. Ying
  • Data Chair: Yasutaka Kamei
  • General Chair: Massimiliano Di Penta
  • Program Chairs: Martin Pinzger, Romain Robbes
  • Program Committee: Bram Adams, Giuliano Antoniol, Alberto Bacchelli, Gabriele Bavota, Olga Baysal, Andrew Begel, Christian Bird, Stephan Diehl, Thomas Fritz, Harald Gall, Michael W. Godfrey, Georgios Gousios, Michaela Greiler, Sonia Haiduc, Mark Harman, Ahmed E. Hassan, Reid Holmes, Huzefa H. Kagdi, Yasutaka Kamei, Foutse Khomh, Sunghun Kim, Michele Lanza, Walid Maalej, Andrian Marcus, Na Meng, Tim Menzies, Ali Mesbah, Audris Mockus, Meiyappan Nagappan, Denys Poshyvanyk, Baishakhi Ray, Peter C. Rigby, Gregorio Robles, David Röthlisberger, Chanchal K. Roy, Caitlin Sadowski, Anita Sarma, Emad Shihab, Leif Singer, Vibha Sinha, Lin Tan, Ewan D. Tempero, Christoph Treude, Tao Xie, Annie T. T. Ying, Andy Zaidman, Andreas Zeller, Hongyu Zhang, Thomas Zimmermann
  • Steering Committee: Martin Pinzger, Richard C. Holt, Harald Gall, Tao Xie
  • Web Chair: Stefanie Beyer
  • Contents (73 items)

    MSR-2015-Marinescu #mining
    Confessions of a Worldly Software Miner (RM), p. 1.
    MSR-2015-GreilerHC #quality #replication
    Code Ownership and Software Quality: A Replication Study (MG, KH, JC), pp. 2–12.
    MSR-2015-HashimotoTMM #effectiveness #fact extraction #optimisation #performance #predict
    Extracting Facts from Performance Tuning History of Scientific Applications for Predicting Effective Optimization Patterns (MH, MT, TM, KM), pp. 13–23.
    MSR-2015-AbateCGFTZ #component #mining #repository
    Mining Component Repositories for Installability Issues (PA, RDC, LG, FLF, RT, SZ), pp. 24–33.
    MSR-2015-RayNBNZ
    The Uniqueness of Changes: Characteristics and Applications (BR, MN, CB, NN, TZ), pp. 34–44.
    MSR-2015-JiangA #co-evolution #empirical #framework #source code
    Co-evolution of Infrastructure and Source Code — An Empirical Study (YJ, BA), pp. 45–55.
    MSR-2015-MouraPEC #commit #energy #mining
    Mining Energy-Aware Commits (IM, GP, FE, FC), pp. 56–67.
    MSR-2015-LinW #fine-grained #why
    Why Power Laws? An Explanation from Fine-Grained Code Changes (ZL, JW), pp. 68–75.
    MSR-2015-MartieH #code search #empirical #named
    Sameness: An Experiment in Code Search (LM, AvdH), pp. 76–87.
    MSR-2015-ZanjaniKB #developer #using
    Using Developer-Interaction Trails to Triage Change Requests (MBZ, HHK, CB), pp. 88–98.
    MSR-2015-AhmedSH #behaviour #development #empirical
    An Empirical Study of the Copy and Paste Behavior during Development (TMA, WS, AEH), pp. 99–110.
    MSR-2015-VasquezWBMP #android #execution #generative #mining
    Mining Android App Usages for Generating Actionable GUI-Based Execution Scenarios (MLV, MW, CBC, KM, DP), pp. 111–122.
    MSR-2015-MartinHJSZ #mining #problem
    The App Sampling Problem for App Store Mining (WM, MH, YJ, FS, YZ), pp. 123–133.
    MSR-2015-CoelhoAGD #android #debugging #exception #git
    Unveiling Exception Handling Bug Hazards in Android Based on GitHub and Google Code Issues (RC, LA, GG, AvD), pp. 134–145.
    MSR-2015-BosuGB #code review #empirical
    Characteristics of Useful Code Reviews: An Empirical Study at Microsoft (AB, MG, CB), pp. 146–156.
    MSR-2015-HellendoornDB #modelling
    Will They Like This? Evaluating Code Contributions with Language Models (VH, PTD, AB), pp. 157–167.
    MSR-2015-ThongtanunamMHI #code review #empirical #overview
    Investigating Code Review Practices in Defective Files: An Empirical Study of the Qt System (PT, SM, AEH, HI), pp. 168–179.
    MSR-2015-TaoK #clustering #code review #overview #perspective
    Partitioning Composite Code Changes to Facilitate Code Review (YT, SK), pp. 180–190.
    MSR-2015-BirdCG #code review #framework #lessons learnt #overview #platform
    Lessons Learned from Building and Deploying a Code Review Analytics Platform (CB, TC, MG), pp. 191–201.
    MSR-2015-BlincoeHD #ecosystem #git #identification #using
    Ecosystems in GitHub and a Method for Ecosystem Identification Using Reference Coupling (KB, FH, DD), pp. 202–211.
    MSR-2015-ClaesMCV #analysis
    A Historical Analysis of Debian Package Incompatibilities (MC, TM, RDC, JV), pp. 212–223.
    MSR-2015-WangMG #api #developer #recommendation
    Recommending Posts concerning API Issues in Developer Q&A Sites (WW, HM, MWG), pp. 224–234.
    MSR-2015-LeBGLSM #architecture #empirical #open source
    An Empirical Study of Architectural Change in Open-Source Software Systems (DML, PB, JG, DL, AS, NM), pp. 235–245.
    MSR-2015-KouroshfarMBXMC #architecture #case study #evolution #quality
    A Study on the Role of Software Architecture in the Evolution and Quality of Software (EK, MM, HB, LX, SM, YC), pp. 246–257.
    MSR-2015-SahaLKP #debugging #question
    Are These Bugs Really “Normal”? (RKS, JL, SK, DEP), pp. 258–268.
    MSR-2015-CamiloMN #case study #debugging
    Do Bugs Foreshadow Vulnerabilities? A Study of the Chromium Project (FC, AM, MN), pp. 269–279.
    MSR-2015-ChoetkiertikulD #predict #risk management
    Characterization and Prediction of Issue-Related Risks in Software Projects (MC, HKD, TT, AG), pp. 280–291.
    MSR-2015-BurletH #community #empirical #music
    An Empirical Study of End-User Programmers in the Computer Music Community (GB, AH), pp. 292–302.
    MSR-2015-OrtuADTMT #effectiveness #empirical
    Are Bullies More Productive? Empirical Study of Affectiveness vs. Issue Fixing Time (MO, BA, GD, PT, MM, RT), pp. 303–313.
    MSR-2015-WangPWG #comprehension #git #using #what
    What Is the Gist? Understanding the Use of Public Gists on GitHub (WW, GPC, EW, DMG), pp. 314–323.
    MSR-2015-WuMKGI #consistency #detection #nondeterminism #open source #scalability
    A Method to Detect License Inconsistencies in Large-Scale Open Source Projects (YW, YM, TK, DMG, KI), pp. 324–333.
    MSR-2015-WhiteVVP #learning #repository #towards
    Toward Deep Learning Software Repositories (MW, CV, MLV, DP), pp. 334–345.
    MSR-2015-GuptaSPA #challenge #identification #overview #process #scalability
    Identifying Software Process Management Challenges: Survey of Practitioners in a Large Global IT Company (MG, AS, SP, AMA), pp. 346–356.
    MSR-2015-VeenGZ #automation
    Automatically Prioritizing Pull Requests (EvdV, GG, AZ), pp. 357–361.
    MSR-2015-HauffG #developer #git
    Matching GitHub Developer Profiles to Job Advertisements (CH, GG), pp. 362–366.
    MSR-2015-YuWFDV #evaluation #git #latency
    Wait for It: Determinants of Pull Request Evaluation Latency on GitHub (YY, HW, VF, PTD, BV), pp. 367–371.
    MSR-2015-HigoOHHK #reuse #towards
    Toward Reusing Code Changes (YH, AO, SH, HH, SK), pp. 372–376.
    MSR-2015-MirakhorliC #architecture #debugging
    Modifications, Tweaks, and Bug Fixes in Architectural Tactics (MM, JCH), pp. 377–380.
    MSR-2015-LabuschagneH #question #source code
    Do Onboarding Programs Work? (AL, RH), pp. 381–385.
    MSR-2015-SchumacherA #framework #graph
    An Enhanced Graph-Based Infrastructure for Software Search Engines (MS, CA), pp. 386–390.
    MSR-2015-DonadelliZR #case study #fault #replication #using
    Organizational Volatility and Post-release Defects: A Replication Case Study Using Data from Google Chrome (SMD, YCZ, PCR), pp. 391–395.
    MSR-2015-SinhaSDPM #detection #repository #source code
    Detecting and Mitigating Secret-Key Leaks in Source Code Repositories (VSS, DS, PD, RP, SM), pp. 396–400.
    MSR-2015-PonzanelliML #development #mining #semistructured data
    Summarizing Complex Development Artifacts by Mining Heterogeneous Data (LP, AM, ML), pp. 401–405.
    MSR-2015-GantayatDPMS #stack overflow
    The Synergy between Voting and Acceptance of Answers on StackOverflow — Or the Lack Thereof (NG, PD, RP, SM, VSS), pp. 406–409.
    MSR-2015-DuijnKB #quality #stack overflow
    Quality Questions Need Quality Code: Classifying Code Fragments on Stack Overflow (MD, AK, AB), pp. 410–413.
    MSR-2015-GoderieGGB #named #predict #stack overflow
    ETA: Estimated Time of Answer Predicting Response Time in Stack Overflow (JG, BMG, BvG, AB), pp. 414–417.
    MSR-2015-MalikZG #analysis #energy
    Going Green: An Exploratory Analysis of Energy-Related Questions (HM, PZ, MWG), pp. 418–421.
    MSR-2015-ChowdhuryH #mining #stack overflow #topic
    Mining StackOverflow to Filter Out Off-Topic IRC Discussion (SAC, AH), pp. 422–425.
    MSR-2015-RahmanR #stack overflow
    An Insight into the Unresolved Questions at Stack Overflow (MMR, CKR), pp. 426–429.
    MSR-2015-CalefatoLMN #mining #stack overflow
    Mining Successful Answers in Stack Overflow (FC, FL, MCM, NN), pp. 430–433.
    MSR-2015-JinYKCII #case study #stack overflow
    Quick Trigger on Stack Overflow: A Study of Gamification-Influenced Member Tendencies (YJ, XY, RGK, EC, KI, HI), pp. 434–437.
    MSR-2015-HonselHG #evaluation #stack overflow
    Intuition vs. Truth: Evaluation of Common Myths about StackOverflow Posts (VH, SH, JG), pp. 438–441.
    MSR-2015-ErcanSB #automation #predict #stack overflow
    Automatic Assessments of Code Explanations: Predicting Answering Times on Stack Overflow (SE, QS, AB), pp. 442–445.
    MSR-2015-ZouXGYYZ #analysis #developer #empirical #non-functional #requirements #stack overflow #topic #using
    Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis (JZ, LX, WG, MY, DY, XZ), pp. 446–449.
    MSR-2015-Marder #approach #behaviour #stack overflow
    Stack Overflow Badges and User Behavior: An Econometric Approach (AM), pp. 450–453.
    MSR-2015-DiamantopoulosS #source code #stack overflow
    Employing Source Code Information to Improve Question-Answering in Stack Overflow (TGD, ALS), pp. 454–457.
    MSR-2015-SlagWB #stack overflow #why
    One-Day Flies on StackOverflow — Why the Vast Majority of StackOverflow Users Only Posts Once (RS, MdW, AB), pp. 458–461.
    MSR-2015-Spinellis #evolution #repository
    A Repository with 44 Years of Unix Evolution (DS), pp. 462–465.
    MSR-2015-Zacchiroli #dataset #metadata #source code
    The Debsources Dataset: Two Decades of Debian Source Code Metadata (SZ), pp. 466–469.
    MSR-2015-GermanAH #dataset #git #linux #process
    A Dataset of the Activity of the Git Super-repository of Linux in 2012 (DMG, BA, AEH), pp. 470–473.
    MSR-2015-PonzanelliML15a #named #stack overflow
    StORMeD: Stack Overflow Ready Made Data (LP, AM, ML), pp. 474–477.
    MSR-2015-Gonzalez-Barahona #database
    The MetricsGrimoire Database Collection (JMGB, GR, DIC), pp. 478–481.
    MSR-2015-PalombaNTBOPL #dataset #evaluation #named #open data #smell
    Landfill: An Open Dataset of Code Smells with Public Evaluation (FP, DDN, MT, GB, RO, DP, ADL), pp. 482–485.
    MSR-2015-BarikLSSM #corpus #named #spreadsheet
    Fuse: A Reproducible, Extendable, Internet-Scale Corpus of Spreadsheets (TB, KL, JS, JS, ERMH), pp. 486–489.
    MSR-2015-MauczkaBSG #commit #dataset #developer
    Dataset of Developer-Labeled Commit Messages (AM, FB, CS, TG), pp. 490–493.
    MSR-2015-AltingerSDW #dataset #embedded #fault #industrial #modelling #novel #predict
    A Novel Industry Grade Dataset for Fault Prediction Based on Model-Driven Developed Automotive Embedded Software (HA, SS, YD, FW), pp. 494–497.
    MSR-2015-HabayebMMBB #dataset #fault
    The Firefox Temporal Defect Dataset (MH, AVM, SSM, LB, AB), pp. 498–501.
    MSR-2015-WermelingerY #architecture #dataset #evolution
    An Architectural Evolution Dataset (MW, YY), pp. 502–505.
    MSR-2015-SawantB #api #dataset
    A Dataset for API Usage (AAS, AB), pp. 506–509.
    MSR-2015-KarakoidasMLGS #ecosystem #generative #java
    Generating the Blueprints of the Java Ecosystem (VK, DM, PL, GG, DS), pp. 510–513.
    MSR-2015-VasilescuSF #git #set #social
    A Data Set for Social Diversity Studies of GitHub Teams (BV, AS, VF), pp. 514–517.
    MSR-2015-OhiraKYYMLFHIM #classification #dataset #debugging
    A Dataset of High Impact Bugs: Manually-Classified Issue Reports (MO, YK, YY, HY, YM, NL, KF, HH, AI, KiM), pp. 518–521.
    MSR-2015-KrutzMMRPFS #android #dataset #open source
    A Dataset of Open-Source Android Applications (DEK, MM, SAM, AR, JP, AF, JS), pp. 522–525.

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