• DocumentCode
    600254
  • Title

    Systematic literature studies: Database searches vs. backward snowballing

  • Author

    Jalali, Shirin ; Wohlin, Claes

  • Author_Institution
    Blekinge Inst. of Technol., Karlskrona, Sweden
  • fYear
    2012
  • fDate
    20-21 Sept. 2012
  • Firstpage
    29
  • Lastpage
    38
  • Abstract
    Systematic studies of the literature can be done in different ways. In particular, different guidelines propose different first steps in their recommendations, e.g. start with search strings in different databases or start with the reference lists of a starting set of papers. In software engineering, the main recommended first step is using search strings in a number of databases, while in information systems, snowballing has been recommended as the first step. This paper compares the two different search approaches for conducting literature review studies. The comparison is conducted by searching for articles addressing “Agile practices in global software engineering”. The focus of the paper is on evaluating the two different search approaches. Despite the differences in the included papers, the conclusions and the patterns found in both studies are quite similar. The strengths and weaknesses of each first step are discussed separately and in comparison with each other. It is concluded that none of the first steps is outperforming the other, and the choice of guideline to follow, and hence the first step, may be context-specific, i.e. depending on the area of study.
  • Keywords
    database management systems; information retrieval; software prototyping; string matching; agile practices; backward snowballing; database search; information systems; search strings; software engineering; systematic literature review studies; Databases; Google; Guidelines; Reliability; Search problems; Software engineering; Systematics; Agile Practices; Global Software Engineering; Snowballing; Systematic Literature Review;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement (ESEM), 2012 ACM-IEEE International Symposium on
  • Conference_Location
    Lund
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4503-1056-7
  • Electronic_ISBN
    1938-6451
  • Type

    conf

  • DOI
    10.1145/2372251.2372257
  • Filename
    6475394