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Using Forward Snowballing to update Systematic Reviews in Software Engineering
Fed Technol Univ Parana UTFPR CP, BRA.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering. Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-0449-5322
Fluminense Fed Univ, BRA.
Fed Technol Univ Parana UTFPR CP, BRA.
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2016 (English)In: ESEM'16: PROCEEDINGS OF THE 10TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT, ASSOC COMPUTING MACHINERY , 2016Conference paper, Published paper (Refereed)
Abstract [en]

Background: A Systematic Literature Review (SLR) is a methodology used to aggregate relevant evidence related to one or more research questions. Whenever new evidence is published after the completion of a SLR, this SLR should be updated in order to preserve its value. However, updating SLRs involves significant effort. Objective: The goal of this paper is to investigate the application of forward snowballing to support the update of SLRs. Method: We compare outcomes of an update achieved using the forward snowballing versus a published update using the search-based approach, i.e., searching for studies in electronic databases using a search string. Results: Forward snowballing showed a higher precision and a slightly lower recall. It reduced in more than five times the number of primary studies to filter however missed one relevant study. Conclusions: Due to its high precision, we believe that the use of forward snowballing considerably reduces the effort in updating SLRs in Software Engineering; however the risk of missing relevant papers should not be underrated.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2016.
Keywords [en]
Systematic literature reviews, forward snowballing
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-20905DOI: 10.1145/2961111.2962630ISI: 000578277800053OAI: oai:DiVA.org:bth-20905DiVA, id: diva2:1517011
Conference
10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Ciudad Real, SPAIN , SEP 08-09, 2016-2019
Available from: 2021-01-13 Created: 2021-01-13 Last updated: 2023-12-04Bibliographically approved

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Mendes, Emilia

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  • apa
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