First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews Madrid, Spain September 20-September 21 ISBN: 0-7695-2886-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ESEM.2007.19
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.
Citation:
Oscar Dieste, Anna Griman Padua, "Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews," esem, pp.215-224, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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