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
Link To Document :
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