• DocumentCode
    700382
  • Title

    Untangling fine-grained code changes

  • Author

    Dias, Martin ; Bacchelli, Alberto ; Gousios, Georgios ; Cassou, Damien ; Ducasse, Stephane

  • Author_Institution
    RMoD Inria Lille-Nord Eur., Univ. of Lille ? CRIStAL, Lille, France
  • fYear
    2015
  • fDate
    2-6 March 2015
  • Firstpage
    341
  • Lastpage
    350
  • Abstract
    After working for some time, developers commit their code changes to a version control system. When doing so, they often bundle unrelated changes (e.g., bug fix and refactoring) in a single commit, thus creating a so-called tangled commit. Sharing tangled commits is problematic because it makes review, reversion, and integration of these commits harder and historical analyses of the project less reliable. Researchers have worked at untangling existing commits, i.e., finding which part of a commit relates to which task. In this paper, we contribute to this line of work in two ways: (1) A publicly available dataset of untangled code changes, created with the help of two developers who accurately split their code changes into self contained tasks over a period of four months; (2) a novel approach, EpiceaUntangler, to help developers share untangled commits (aka. atomic commits) by using fine-grained code change information. EpiceaUntangler is based and tested on the publicly available dataset, and further evaluated by deploying it to 7 developers, who used it for 2 weeks. We recorded a median success rate of 91% and average one of 75%, in automatically creating clusters of untangled fine-grained code changes.
  • Keywords
    software maintenance; EpiceaUntangler; fine-grained code change information; fine-grained code change untangling; version control system; Clustering algorithms; Java; Machine learning algorithms; Reliability; Software; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Analysis, Evolution and Reengineering (SANER), 2015 IEEE 22nd International Conference on
  • Conference_Location
    Montreal, QC
  • Type

    conf

  • DOI
    10.1109/SANER.2015.7081844
  • Filename
    7081844