• DocumentCode
    2266294
  • Title

    Systematic literature reviews in software engineering: Preliminary results from interviews with researchers

  • Author

    Babar, Muhammad Ali ; Zhang, He

  • Author_Institution
    Software Eng. Res. Centre, Univ. of Limerick, Limerick, Ireland
  • fYear
    2009
  • fDate
    15-16 Oct. 2009
  • Firstpage
    346
  • Lastpage
    355
  • Abstract
    Systematic Literature Reviews (SLRs) have been gaining significant attention from software engineering researchers since 2004. Several researchers have reported their experiences of and lessons learned from applying systematic reviews to different subject matters in software engineering. However, there has been no attempt at independently exploring experiences and perceptions of the practitioners of systematic reviews in order to gain an in-depth understanding of various aspects of systemic reviews as a new research methodology in software engineering. We assert that there is a need of evidence based body of knowledge about the application of systematic reviews in software engineering. To address this need, we have started an empirical research program that aims to contribute to the growing body of knowledge about systematic reviews in software engineering. This paper reports the design, logistics, and results of the first phase empirical study carried out in this program. The results provide interesting insights into different aspects of systematic reviews based on the analysis of the data gathered from 17 interviewees with varying levels of knowledge of and experiences in systematic reviews. The findings from this study are expected to contribute to the existing knowledge about using systematic reviews and help further improve the state-of-the-practice of this research methodology in software engineering.
  • Keywords
    knowledge acquisition; software engineering; knowledge acquisition; practitioners perception; research methodology; software engineering; systematic literature review; Application software; Best practices; Data analysis; Gain measurement; Guidelines; Helium; Logistics; Resource management; Software engineering; Software measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
  • Conference_Location
    Lake Buena Vista, FL
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4244-4842-5
  • Electronic_ISBN
    1938-6451
  • Type

    conf

  • DOI
    10.1109/ESEM.2009.5314235
  • Filename
    5314235