• DocumentCode
    731536
  • Title

    An Architectural Evolution Dataset

  • Author

    Wermelinger, Michel ; Yijun Yu

  • Author_Institution
    Comput. & Commun. Dept., Open Univ., Milton Keynes, UK
  • fYear
    2015
  • fDate
    16-17 May 2015
  • Firstpage
    502
  • Lastpage
    505
  • Abstract
    A good evolution process and a good architecture can greatly support the maintainability of long-lived, large software systems. We present AREVOL, a dataset for the empirical study of architectural evolution. The dataset comprises two popular systems from the same domain and using the same component model, to make comparative studies possible. Besides the original component metadata, AREVOL includes scripts to obtain simplified models that nevertheless support rich studies of architectural evolution, as the authors´ previous work has shown.
  • Keywords
    meta data; software engineering; AREVOL; architectural evolution dataset; component metadata; large software systems; Analytical models; Computer architecture; Data mining; Data models; Feature extraction; Guidelines; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mining Software Repositories (MSR), 2015 IEEE/ACM 12th Working Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/MSR.2015.74
  • Filename
    7180128
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=731536