• DocumentCode
    652646
  • Title

    Identifying Barriers to the Systematic Literature Review Process

  • Author

    Carver, Jeffrey C. ; Hassler, E. ; Hernandes, Elis ; Kraft, Nicholas A.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
  • fYear
    2013
  • fDate
    10-11 Oct. 2013
  • Firstpage
    203
  • Lastpage
    212
  • Abstract
    Conducting a systematic literature review (SLR) is difficult and time-consuming for an experienced researcher, and even more so for a novice graduate student. With a better understanding of the most common difficulties in the SLR process, mentors will be better prepared to guide novices through the process. This understanding will help researchers have more realistic expectations of the SLR process and will help mentors guide novices through its planning, execution, and documentation phases. Consequently, the objectives of this work are to identify the most difficult and time-consuming phases of the SLR process. Using data from two sources - 52 responses to an online survey sent to all authors of SLRs published in software engineering venues and qualitative experience reports from 8 PhD students who conducted SLRs as part of a course - we identified specific difficulties related to each phase of the SLR process. Our findings highlight the importance of planning, teamwork, and mentoring by an experienced researcher throughout the process. The paper also identifies implications for the teaching of the SLR process.
  • Keywords
    computer science education; planning; reviews; software engineering; teaching; team working; SLR process teaching; barrier identification; course; documentation phase; execution phase; mentoring; planning phase; qualitative experience reports; software engineering venues; systematic literature review process; teamwork; Data mining; Databases; Encoding; Planning; Protocols; Quality assessment; Search problems; empirical software engineering; survey; 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.2013.28
  • Filename
    6681353