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Evaluating strategies for study selection in systematic literature studies
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2014 (English)In: ESEM '14 Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ACM , 2014, Vol. article 45Conference paper, Published paper (Refereed)
Abstract [en]

Context: The study selection process is critical to improve the reliability of secondary studies. Goal: To evaluate the selection strategies commonly employed in secondary studies in software engineering. Method: Building on these strate- gies, a study selection process was formulated and evalu- ated in a systematic review. Results: The selection process used a more inclusive strategy than the one typically used in secondary studies, which led to additional relevant articles. Conclusions: The results indicates that a good-enough sam- ple could be obtained by following a less inclusive but more efficient strategy, if the articles identified as relevant for the study are a representative sample of the population, and there is a homogeneity of results and quality of the articles.

Place, publisher, year, edition, pages
ACM , 2014. Vol. article 45
Keyword [en]
systematic review, inclusion and exclusion, study selection
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-6490DOI: 10.1145/2652524.2652557ISBN: 978-1-4503-2774-9 (print)OAI: oai:DiVA.org:bth-6490DiVA: diva2:834008
Conference
International Symposium on Empirical Software Engineering and Measurement, Turin
Available from: 2014-12-09 Created: 2014-12-08 Last updated: 2016-02-09Bibliographically approved

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