• DocumentCode
    2514386
  • Title

    Empirical Research in Software Process Modeling: A Systematic Literature Review

  • Author

    Bai, Xu ; Zhang, He ; Huang, LiGuo

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Southern Methodist Univ., Dallas, TX, USA
  • fYear
    2011
  • fDate
    22-23 Sept. 2011
  • Firstpage
    339
  • Lastpage
    342
  • Abstract
    Recognized as one of the powerful technologies in software process engineering, Software Process Modeling (SPM) has received significant attention over the last three decades. Although empirical research plays a critical role in software engineering, the state-of-the-practice of empirical research in SPM has not been systematically reviewed. This paper serves as a status report of the assessment of empirical research in SPM by analyzing all refereed studies that were published in relevant venues from 1987 to 2008 using systematic review methodology. The primary findings indicate that in current SPM-related empirical studies, (1) software process management and improvement (SPI) was not yet the most popular primary research objectives, (2) exploratory empirical research methods, e.g., case study and action research, were dominantly used, (3) there were common issues in empirical research reports in terms of following rigorous reporting guidelines. Based on the review results, we also suggest the future needs for empirical research in SPM, in terms of research topics, SPM techniques, the strengths of research methodology and the rigors of empirical studies.
  • Keywords
    software engineering; SPI; SPM; software process engineering; software process management and improvement; software process modeling; systematic literature review; Data analysis; Data mining; Educational institutions; Guidelines; Software; Software engineering; Systematics; Software process modeling and simulation; empirical research; systematic literature review;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement (ESEM), 2011 International Symposium on
  • Conference_Location
    Banff, AB
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4577-2203-5
  • Type

    conf

  • DOI
    10.1109/ESEM.2011.43
  • Filename
    6092583