Miryung Kim, Romain Robbes, Christian Bird
Proceedings of the 13th Working Conference on Mining Software Repositories
MSR, 2016.

@proceedings{MSR-2016,
	doi           = "10.1145/2901739",
	editor        = "Miryung Kim and Romain Robbes and Christian Bird",
	isbn          = "978-1-4503-4186-8",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 13th Working Conference on Mining Software Repositories}",
	year          = 2016,
}

Contents (59 items)

MSR-2016-AhmedBCHS #case study #detection #effectiveness #experience #performance #tool support #web

Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications: an experience report (TMA, CPB, THC, AEH, WS), pp. 1–12.

MSR-2016-GomezRAS #android #automation #detection #mining #performance #repository #user interface

Mining test repositories for automatic detection of UI performance regressions in Android apps (MG0, RR, BA, LS), pp. 13–24.

MSR-2016-LuoPG #evolution #mining #performance

Mining performance regression inducing code changes in evolving software (QL, DP, MG), pp. 25–36.

MSR-2016-BaoLXWT #android #commit #developer #empirical #how #mining #power management

How android app developers manage power consumption?: an empirical study by mining power management commits (LB, DL0, XX0, XW0, CT), pp. 37–48.

MSR-2016-ChowdhuryH #corpus #energy #metric #named

GreenOracle: estimating software energy consumption with energy measurement corpora (SAC, AH), pp. 49–60.

MSR-2016-KreutzerDREP #automation #clustering

Automatic clustering of code changes (PK, GD, MR, BME, MP), pp. 61–72.

MSR-2016-RolfsnesMABB #recommendation #using

Improving change recommendation using aggregated association rules (TR, LM, SDA, RB, DWB), pp. 73–84.

MSR-2016-DintznerDP #commit #feature model #named

FEVER: extracting feature-oriented changes from commits (ND, AvD, MP0), pp. 85–96.

MSR-2016-TrautschHMG #framework #mining #platform #problem #repository

Adressing problems with external validity of repository mining studies through a smart data platform (FT, SH, PM, JG), pp. 97–108.

MSR-2016-RozenbergBKPBPM #repository #visual notation

Comparing repositories visually with repograms (DR, IB, FK, VP, HB, MP, GCM), pp. 109–120.

MSR-2016-Hassan #case study #education #experience #mining #repository #research

Raising MSR researchers: an experience report on teaching a graduate seminar course in mining software repositories (MSR) (AEH), pp. 121–125.

MSR-2016-DamevskiCSP #developer #interactive #markov #using

Interactive exploration of developer interaction traces using a hidden markov model (KD, HC0, DCS, LLP), pp. 126–136.

MSR-2016-CosentinoIC #dataset #git

Findings from GitHub: methods, datasets and limitations (VC, JLCI, JC), pp. 137–141.

MSR-2016-0004RCRHV

Cold-start software analytics (JG0, MR, JCH, AR, JHH, MV), pp. 142–153.

MSR-2016-KabinnaBSH #case study #library

Logging library migrations: a case study for the apache software foundation projects (SK, CPB, WS, AEH), pp. 154–164.

MSR-2016-ChenSYHGNF #empirical #java #maintenance

An empirical study on the practice of maintaining object-relational mapping code in Java systems (THC, WS, JY0, AEH, MWG, MNN, PF), pp. 165–176.

MSR-2016-AhmadKSA #android #challenge #communication #developer

Inter-app communication in Android: developer challenges (WA, CK, JS, JA), pp. 177–188.

MSR-2016-SharmaFS #question #smell

Does your configuration code smell? (TS, MF, DS), pp. 189–200.

MSR-2016-RahmanQRA #case study

Feature toggles: practitioner practices and a case study (MTR, LPQ, PCR, BA), pp. 201–211.

MSR-2016-SenaCKB #comprehension #empirical #exception #java #library

Understanding the exception handling strategies of Java libraries: an empirical study (DS, RC, UK, RB), pp. 212–222.

MSR-2016-AveryDSG #behaviour #mining

Externalization of software behavior by the mining of norms (DA, HKD, BTRS, AKG), pp. 223–234.

MSR-2016-BlazB #analysis #sentiment

Sentiment analysis in tickets for IT support (CCAB, KB), pp. 235–246.

MSR-2016-MantylaADGO #detection #mining #question

Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity? (MM, BA, GD, DG, MO), pp. 247–258.

MSR-2016-MoslehiAR #documentation #mining #on the #speech

On mining crowd-based speech documentation (PM, BA, JR), pp. 259–268.

MSR-2016-CampbellSH #effectiveness #information retrieval

The unreasonable effectiveness of traditional information retrieval in crash report deduplication (JCC, EAS, AH), pp. 269–280.

MSR-2016-ThompsonMPG #developer #how #repository

How software developers use work breakdown relationships in issue repositories (CAT, GCM, MP, MG), pp. 281–285.

MSR-2016-DilshenerWY #debugging #roadmap

Locating bugs without looking back (TD, MW, YY), pp. 286–290.

MSR-2016-KikasDP #git #predict #using

Using dynamic and contextual features to predict issue lifetime in GitHub projects (RK, MD, DP), pp. 291–302.

MSR-2016-LaymanNMM #modelling #problem #research #topic

Topic modeling of NASA space system problem reports: research in practice (LL, APN, JM, TM), pp. 303–314.

MSR-2016-BavotaR #empirical #scalability #self #technical debt

A large-scale empirical study on self-admitted technical debt (GB, BR), pp. 315–326.

MSR-2016-BellomoNOP #issue tracking #technical debt

Got technical debt?: surfacing elusive technical debt in issue trackers (SB, RLN, IO, MP), pp. 327–338.

MSR-2016-IshioKKGI #component #detection #java #reuse

Software ingredients: detection of third-party component reuse in Java software release (TI, RGK, TK0, DMG, KI), pp. 339–350.

MSR-2016-WitternSR #ecosystem #javascript

A look at the dynamics of the JavaScript package ecosystem (EW, PS, SR), pp. 351–361.

MSR-2016-NguyenNN #open source #scalability

A large-scale study on repetitiveness, containment, and composability of routines in open-source projects (ATN0, HAN, TNN), pp. 362–373.

MSR-2016-CostaMKH #agile #empirical #integration

The impact of switching to a rapid release cycle on the integration delay of addressed issues: an empirical study of the mozilla firefox project (DAdC, SM, UK, AEH), pp. 374–385.

MSR-2016-Izquierdo-Cortazar #case study #code review #experience #overview #process

Characterization of the Xen project code review process: an experience report (DIC, LK, JMGB, SD, NS), pp. 386–390.

MSR-2016-YangHL #analysis #query #stack overflow

From query to usable code: an analysis of stack overflow code snippets (DY, AH0, CVL), pp. 391–402.

MSR-2016-AhasanuzzamanAR #mining #stack overflow

Mining duplicate questions in stack overflow (MA, MA, CKR, KAS), pp. 402–412.

MSR-2016-XuXXLWL #retrieval

Domain-specific cross-language relevant question retrieval (BX, ZX, XX0, DL0, QW, SL), pp. 413–424.

MSR-2016-0008S #gender #stack overflow

Recognizing gender of stack overflow users (BL0, AS), pp. 425–429.

MSR-2016-BeyerP #android #stack overflow

Grouping android tag synonyms on stack overflow (SB, MP0), pp. 430–440.

MSR-2016-ZagalskyTGSP #case study #community #comparative #how #stack overflow

How the R community creates and curates knowledge: a comparative study of stack overflow and mailing lists (AZ, CGT, DMG, MADS, GPC), pp. 441–451.

MSR-2016-Squire #ruby #set

Data sets: the circle of life in ruby hosting, 2003-2015 (MS), pp. 452–459.

MSR-2016-YangKYI #code review #dataset #mining #overview #people #process #repository

Mining the modern code review repositories: a dataset of people, process and product (XY, RGK, NY, HI), pp. 460–463.

MSR-2016-AmannNNNM #benchmark #detection #metric #named

MUBench: a benchmark for API-misuse detectors (SA, SN, HAN, TNN, MM), pp. 464–467.

MSR-2016-AllixBKT #android #community #named #research

AndroZoo: collecting millions of Android apps for the research community (KA, TFB, JK, YLT), pp. 468–471.

MSR-2016-ZhuZM #dataset #issue tracking #multi

Multi-extract and multi-level dataset of mozilla issue tracking history (JZ, MZ, HM), pp. 472–475.

MSR-2016-ProkschANM #c# #dataset #syntax

A dataset of simplified syntax trees for C# (SP, SA, SN, MM), pp. 476–479.

MSR-2016-OrtuMDTTMA #developer

The emotional side of software developers in JIRA (MO, AM, GD, PT, RT, MM, BA), pp. 480–483.

MSR-2016-KeryGM #exception

Examining programmer practices for locally handling exceptions (MBK, CLG, BAM), pp. 484–487.

MSR-2016-DiamantopoulosT #component #named #recommendation #source code #usability

QualBoa: reusability-aware recommendations of source code components (TGD, KT, ALS), pp. 488–491.

MSR-2016-DesarmeauxPM #lifecycle #maintenance #process

The dispersion of build maintenance activity across maven lifecycle phases (CD, AP, SM), pp. 492–495.

MSR-2016-BarnettGSM #commit #fault #git #java

The relationship between commit message detail and defect proneness in Java projects on GitHub (JGB, CKG, LSS, SM), pp. 496–499.

MSR-2016-NakshatriHT #analysis #empirical #exception #java

Analysis of exception handling patterns in Java projects: an empirical study (SN, MH, ST), pp. 500–503.

MSR-2016-SantosH #commit #correlation

Judging a commit by its cover: correlating commit message entropy with build status on travis-CI (EAS, AH), pp. 504–507.

MSR-2016-ChowdhuryH16a #energy #question

Characterizing energy-aware software projects: are they different? (SAC, AH), pp. 508–511.

MSR-2016-SotoTWGL #debugging

A deeper look into bug fixes: patterns, replacements, deletions, and additions (MS, FT, CPW, CLG, DL0), pp. 512–515.

MSR-2016-AsaduzzamanARS #developer #exception #how #java #question

How developers use exception handling in Java? (MA, MA, CKR, KAS), pp. 516–519.

MSR-2016-SinhaLS #commit #developer #sentiment

Analyzing developer sentiment in commit logs (VS, AL, BS), pp. 520–523.