• DocumentCode
    652663
  • Title

    Tools to Support Systematic Literature Reviews in Software Engineering: A Mapping Study

  • Author

    Marshall, Chris ; Brereton, P.

  • Author_Institution
    Sch. of Comput. & Math., Keele Univ., Keele, UK
  • fYear
    2013
  • fDate
    10-11 Oct. 2013
  • Firstpage
    296
  • Lastpage
    299
  • Abstract
    Background: Systematic literature reviews (SLRs) have become an established methodology in software engineering (SE) research however they can be very time consuming and error prone. Aim: The aims of this study are to identify and classify tools that can help to automate part or all of the SLR process within the SE domain. Method: A mapping study was performed using an automated search strategy plus snowballing to locate relevant papers. A set of known papers was used to validate the search string. Results: 14 papers were accepted into the final set. Eight presented text mining tools and six discussed the use of visualisation techniques. The stage most commonly targeted was study selection. Only two papers reported an independent evaluation of the tool presented. The majority were evaluated through small experiments and examples of their use. Conclusions: A variety of tools are available to support the SLR process although many are in the early stages of development and usage.
  • Keywords
    software engineering; SE domain; SLR process; automated search strategy; mapping study; software engineering; support systematic literature reviews; visualisation techniques; Software; Software engineering; Software measurement; Systematics; Text mining; Visualization; automated tool; systematic literature review;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement, 2013 ACM / IEEE International Symposium on
  • Conference_Location
    Baltimore, MD
  • ISSN
    1938-6451
  • Print_ISBN
    978-0-7695-5056-5
  • Type

    conf

  • DOI
    10.1109/ESEM.2013.32
  • Filename
    6681371