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Evaluating strategies for study selection in systematic literature studies
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0001-7266-5632
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0002-1532-8223
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
Keywords [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, id: diva2:834008
Conference
International Symposium on Empirical Software Engineering and Measurement, Turin
Available from: 2014-12-09 Created: 2014-12-08 Last updated: 2021-06-11Bibliographically approved

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Ali, NaumanPetersen, Kai

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