Identifying Strategies for Study Selection in Systematic Reviews and Maps

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Kai Petersen, Nauman Bin Ali
Title: Identifying Strategies for Study Selection in Systematic Reviews and Maps
Conference name: Empirical Software Engineering and Measurement, ESEM
Year: 2011
Pagination: 351 - 354
City: Banff, Canada
URI/DOI: 10.1109/ESEM.2011.46
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/com
Authors e-mail: kai.petersen@bth.se, nauman.ali@bth.se
Language: English
Abstract: Study selection in systematic reviews is prone to bias and there exist no commonly defined strategies of how to reduce the bias and resolve disagreement between researchers. This study aims at identifying strategies for bias reduction and disagreement resolution. A review of existing systematic reviews is conducted for study selection strategy identification. In total 13 different strategies have been identified.
Subject: Software Engineering\General
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