DocumentCode
1575593
Title
Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews
Author
Dieste, Oscar ; Padua, Ann Grimán
Author_Institution
Univ. Polytech. de Madrid, Madrid
fYear
2007
Firstpage
215
Lastpage
224
Abstract
Information retrieval is an important problem in any evidence-based discipline. Although evidence- based software engineering (EBSE) is not immune to this fact, this question has not been examined at length. The goal of this paper is to analyse the optimality of search strategies for use in systematic reviews. We tried out 29 search strategies using different terms and combinations of terms. We evaluated their sensitivity and precision with a view to finding an optimum strategy. From this study of search strategies we were able to analyse trends and weaknesses in terminology use in articles reporting experiments.
Keywords
information retrieval; query formulation; software engineering; evidence- based software engineering; evidence-based discipline; information retrieval; search strategies; systematic reviews; Abstracts; Costs; Databases; Gold; Immune system; Information retrieval; Software engineering; Software measurement; Standardization; Terminology;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement, 2007. ESEM 2007. First International Symposium on
Conference_Location
Madrid
ISSN
1938-6451
Print_ISBN
978-0-7695-2886-1
Type
conf
DOI
10.1109/ESEM.2007.19
Filename
4343749
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