• DocumentCode
    3112520
  • Title

    Extracting artifact lifecycle models from metadata history

  • Author

    Baysal, Olga ; Kononenko, Oleksii ; Holmes, Reid ; Godfrey, Michael W.

  • Author_Institution
    David R. Cheriton Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    21-21 May 2013
  • Firstpage
    17
  • Lastpage
    19
  • Abstract
    Software developers and managers make decisions based on the understanding they have of their software systems. This understanding is both built up experientially and through investigating various software development artifacts. While artifacts can be investigated individually, being able to summarize characteristics about a set of development artifacts can be useful. In this paper we propose lifecycle models as an effective way to gain an understanding of certain development artifacts. Lifecycle models capture the dynamic nature of how various development artifacts change over time in a graphical form that can be easily understood and communicated. Lifecycle models enables reasoning of the underlying processes and dynamics of the artifacts being analyzed. In this paper we describe how lifecycle models can be generated and demonstrate how they can be applied to the code review process of a development project.
  • Keywords
    meta data; software engineering; artifact lifecycle model extraction; code review process; metadata history; software development artifacts; software development project; software systems; Control systems; Data mining; Data models; Educational institutions; History; Software; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Analysis Patterns in Software Engineering (DAPSE), 2013 1st International Workshop on
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1109/DAPSE.2013.6603803
  • Filename
    6603803