DocumentCode
2514438
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
fYear
2011
fDate
22-23 Sept. 2011
Firstpage
351
Lastpage
354
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement (ESEM), 2011 International Symposium on
Conference_Location
Banff, AB
ISSN
1938-6451
Print_ISBN
978-1-4577-2203-5
Type
conf
DOI
10.1109/ESEM.2011.46
Filename
6092586
Link To Document