Title :
Identifying Strategies for Study Selection in Systematic Reviews and Maps
Author :
Petersen, Kai ; Ali, Nauman Bin
Author_Institution :
Blekinge Inst. of Technol., Karlskrona, Sweden
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.
Keywords :
software engineering; bias reduction; disagreement resolution; evidence based software engineering; study selection strategy identification; systematic reviews; Computer science; Guidelines; Search engines; Software; Software engineering; Systematics; Uncertainty; Evidence based software engineering; inclusion and exclusion; paper selection; systematic reviews;
Conference_Titel :
Empirical Software Engineering and Measurement (ESEM), 2011 International Symposium on
Conference_Location :
Banff, AB
Print_ISBN :
978-1-4577-2203-5
DOI :
10.1109/ESEM.2011.46
