Premkumar T. Devanbu, Sung Kim, Martin Pinzger
Proceedings of the 11th Working Conference on Mining Software Repositories
MSR, 2014.
@proceedings{MSR-2014, acmid = "2597073", address = "Hyderabad, India", editor = "Premkumar T. Devanbu and Sung Kim and Martin Pinzger", isbn = "978-1-4503-2863-0", publisher = "{ACM}", title = "{Proceedings of the 11th Working Conference on Mining Software Repositories}", year = 2014, }
Event page: http://2014.msrconf.org/
Committee
Contents (64 items)
- MSR-2014-Mockus #mining #question #repository
- Is mining software repositories data science? (AM), p. 1.
- MSR-2014-VasquezBBOPP #android #api #empirical #energy #mining
- Mining energy-greedy API usage patterns in Android apps: an empirical study (MLV, GB, CBC, RO, MDP, DP), pp. 2–11.
- MSR-2014-HindleWRBCR #energy #framework #hardware #mining #named #repository
- GreenMiner: a hardware based mining software repositories software energy consumption framework (AH, AW, KR, EJB, JCC, SR), pp. 12–21.
- MSR-2014-PintoCL #energy #mining
- Mining questions about software energy consumption (GP, FC, YDL), pp. 22–31.
- MSR-2014-MondalRS #co-evolution #predict #ranking
- Prediction and ranking of co-change candidates for clones (MM, CKR, KAS), pp. 32–41.
- MSR-2014-SteidlHJ #analysis #incremental #source code
- Incremental origin analysis of source code files (DS, BH, EJ), pp. 42–51.
- MSR-2014-GuoLM #exclamation #question
- Oops! where did that code snippet come from? (LG, JLL, GM), pp. 52–61.
- MSR-2014-JoorabchiMM #debugging #exclamation
- Works for me! characterizing non-reproducible bug reports (MEJ, MM, AM), pp. 62–71.
- MSR-2014-GarciaS #debugging #open source #predict
- Characterizing and predicting blocking bugs in open source projects (HVG, ES), pp. 72–81.
- MSR-2014-ChenNSH #debugging #empirical
- An empirical study of dormant bugs (THC, MN, ES, AEH), pp. 82–91.
- MSR-2014-KalliamvakouGBSGD #git #mining
- The promises and perils of mining GitHub (EK, GG, KB, LS, DMG, DD), pp. 92–101.
- MSR-2014-PonzanelliBPOL #ide #mining #programming #self #stack overflow
- Mining StackOverflow to turn the IDE into a self-confident programming prompter (LP, GB, MDP, RO, ML), pp. 102–111.
- MSR-2014-BajajPM #developer #mining #web
- Mining questions asked by web developers (KB, KP, AM), pp. 112–121.
- MSR-2014-GuptaSP #fault #mining #multi #perspective #process #repository
- Process mining multiple repositories for software defect resolution from control and organizational perspective (MG, AS, SP), pp. 122–131.
- MSR-2014-TulsianKKLN #algorithm #model checking #named
- MUX: algorithm selection for software model checkers (VT, AK, RK, AL, AVN), pp. 132–141.
- MSR-2014-AndersonSD #effectiveness #mining #testing
- Improving the effectiveness of test suite through mining historical data (JA, SS, HD), pp. 142–151.
- MSR-2014-HanamTHL #ranking #static analysis
- Finding patterns in static analysis alerts: improving actionable alert ranking (QH, LT, RH, PL), pp. 152–161.
- MSR-2014-ZanjaniSK #commit #impact analysis #interactive #source code
- Impact analysis of change requests on source code based on interaction and commit histories (MBZ, GS, HHK), pp. 162–171.
- MSR-2014-FukushimaKMYU #empirical #fault #modelling #predict #using
- An empirical study of just-in-time defect prediction using cross-project models (TF, YK, SM, KY, NU), pp. 172–181.
- MSR-2014-0001MKZ #fault #predict #towards
- Towards building a universal defect prediction model (FZ, AM, IK, YZ), pp. 182–191.
- MSR-2014-McIntoshKAH #case study #code review #overview #quality
- The impact of code review coverage and code review participation on software quality: a case study of the qt, VTK, and ITK projects (SM, YK, BA, AEH), pp. 192–201.
- MSR-2014-BellerBZJ #code review #open source #problem #question
- Modern code reviews in open-source projects: which problems do they fix? (MB, AB, AZ, EJ), pp. 202–211.
- MSR-2014-LemosPZL #automation #code search #interface #query
- Thesaurus-based automatic query expansion for interface-driven code search (OALL, ACdP, FCZ, CVL), pp. 212–221.
- MSR-2014-RoblesGCCI #case study #development #mining #open source #repository
- Estimating development effort in Free/Open source software projects by mining software repositories: a case study of OpenStack (GR, JMGB, CC, AC, DIC), pp. 222–231.
- MSR-2014-NguyenNHNF #automation #case study #identification #industrial #performance
- An industrial case study of automatically identifying performance regression-causes (THDN, MN, AEH, MNN, PF), pp. 232–241.
- MSR-2014-VasquezHBP #android #library #obfuscation #reuse
- Revisiting Android reuse studies in the context of code obfuscation and library usages (MLV, AH, CBC, DP), pp. 242–251.
- MSR-2014-CampbellHA #fault #modelling #syntax
- Syntax errors just aren’t natural: improving error reporting with language models (JCC, AH, JNA), pp. 252–261.
- MSR-2014-MurgiaTAO #analysis #developer
- Do developers feel emotions? an exploratory analysis of emotions in software artifacts (AM, PT, BA, MO), pp. 262–271.
- MSR-2014-TiarksM #development #how #mobile #question #tutorial
- How does a typical tutorial for mobile development look like? (RT, WM), pp. 272–281.
- MSR-2014-KhodabandelouHDS #modelling #process
- Unsupervised discovery of intentional process models from event logs (GK, CH, RD, CS), pp. 282–291.
- MSR-2014-AkerblomSTW #python #source code
- Tracing dynamic features in python programs (BÅ, JS, MT, TW), pp. 292–295.
- MSR-2014-KochharLL #classification #debugging #locality #question
- It’s not a bug, it’s a feature: does misclassification affect bug localization? (PSK, TDBL, DL), pp. 296–299.
- MSR-2014-MertenMBP #natural language #semistructured data
- Classifying unstructured data into natural language text and technical information (TM, BM, SB, BP), pp. 300–303.
- MSR-2014-TymchukML #collaboration #open source #question
- Collaboration in open-source projects: myth or reality? (YT, AM, ML), pp. 304–307.
- MSR-2014-LazarRS #debugging #detection #metric #similarity #using
- Improving the accuracy of duplicate bug report detection using textual similarity measures (AL, SR, BS), pp. 308–311.
- MSR-2014-KechagiaS #exception
- Undocumented and unchecked: exceptions that spell trouble (MK, DS), pp. 312–315.
- MSR-2014-BloemenAKO #analysis #database #dependence #open source
- Innovation diffusion in open source software: preliminary analysis of dependency changes in the gentoo portage package database (RB, CA, SK, GOM), pp. 316–319.
- MSR-2014-KevicF #source code #taxonomy
- A dictionary to translate change tasks to source code (KK, TF), pp. 320–323.
- MSR-2014-KleinCK #debugging #detection
- New features for duplicate bug detection (NK, CSC, NAK), pp. 324–327.
- MSR-2014-KononenkoBHG #mining #repository
- Mining modern repositories with elasticsearch (OK, OB, RH, MWG), pp. 328–331.
- MSR-2014-PadhyeMS #case study #community #git #open source
- A study of external community contribution to open-source projects on GitHub (RP, SM, VSS), pp. 332–335.
- MSR-2014-SheoranBKDE #comprehension #git
- Understanding “watchers” on GitHub (JS, KB, EK, DD, JE), pp. 336–339.
- MSR-2014-BrunetMTFG #design #developer #question
- Do developers discuss design? (JB, GCM, RT, JCAdF, DSG), pp. 340–343.
- MSR-2014-YamashitaMKU
- Magnet or sticky? an OSS project-by-project typology (KY, SM, YK, NU), pp. 344–347.
- MSR-2014-PleteaVS #analysis #git #security #sentiment
- Security and emotion: sentiment analysis of security discussions on GitHub (DP, BV, AS), pp. 348–351.
- MSR-2014-GuzmanAL #analysis #commit #empirical #git #sentiment
- Sentiment analysis of commit comments in GitHub: an empirical study (EG, DA, YL), pp. 352–355.
- MSR-2014-MatragkasWKP #ecosystem #git #open source
- Analysing the “biodiversity” of open source ecosystems: the GitHub case (NDM, JRW, DSK, RFP), pp. 356–359.
- MSR-2014-AggarwalHS #co-evolution #documentation #git
- Co-evolution of project documentation and popularity within github (KA, AH, ES), pp. 360–363.
- MSR-2014-RahmanR #git
- An insight into the pull requests of GitHub (MMR, CKR), pp. 364–367.
- MSR-2014-GousiosZ #dataset #development #research
- A dataset for pull-based development research (GG, AZ), pp. 368–371.
- MSR-2014-MitropoulosKLGS #debugging #ecosystem
- The bug catalog of the maven ecosystem (DM, VK, PL, GG, DS), pp. 372–375.
- MSR-2014-PassosC #dataset #feature model #kernel #linux
- A dataset of feature additions and feature removals from the Linux kernel (LTP, KC), pp. 376–379.
- MSR-2014-FujiwaraHMFNIM #named #repository
- Kataribe: a hosting service of historage repositories (KF, HH, EM, YF, NN, HI, KiM), pp. 380–383.
- MSR-2014-GousiosVSZ #agile #git
- Lean GHTorrent: GitHub data on demand (GG, BV, AS, AZ), pp. 384–387.
- MSR-2014-KrutzL #clone detection
- A code clone oracle (DEK, WL), pp. 388–391.
- MSR-2014-LazarRS14a #dataset #debugging #generative
- Generating duplicate bug datasets (AL, SR, BS), pp. 392–395.
- MSR-2014-RoblesRSVG #challenge #dataset #overview
- FLOSS 2013: a survey dataset about free software contributors: challenges for curating, sharing, and combining (GR, LAR, AS, BV, JMGB), pp. 396–399.
- MSR-2014-ZhangH #dataset #energy #mining
- A green miner’s dataset: mining the impact of software change on energy consumption (CZ, AH), pp. 400–403.
- MSR-2014-BloemenAKO14a #dependence
- Gentoo package dependencies over time (RB, CA, SK, GOM), pp. 404–407.
- MSR-2014-WilliamsRMRK #dataset #modelling
- Models of OSS project meta-information: a dataset of three forges (JRW, DDR, NDM, JDR, DSK), pp. 408–411.
- MSR-2014-MurakamiHK #dataset
- A dataset of clone references with gaps (HM, YH, SK), pp. 412–415.
- MSR-2014-SainiSOL #dataset #debugging
- A dataset for maven artifacts and bug patterns found in them (VS, HS, JO, CVL), pp. 416–419.
- MSR-2014-FarahTC #analysis #architecture #named #quality #scalability
- OpenHub: a scalable architecture for the analysis of software quality attributes (GF, JST, DC), pp. 420–423.
- MSR-2014-BaldassariP #comprehension #evolution #set
- Understanding software evolution: the maisqual ant data set (BB, PP), pp. 424–427.
12 ×#mining
9 ×#debugging
9 ×#git
8 ×#dataset
7 ×#open source
6 ×#analysis
6 ×#question
6 ×#repository
4 ×#case study
4 ×#empirical
9 ×#debugging
9 ×#git
8 ×#dataset
7 ×#open source
6 ×#analysis
6 ×#question
6 ×#repository
4 ×#case study
4 ×#empirical