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Abstract
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| Our goal is to analyze the optimality of search strategies for use in systematic reviews of software engineering experiments. Studies retrieval is an important problem in any evidence-based discipline. This question has not been examined for evidence-based software engineering as yet. We have run several searches exercising different terms denoting experiments to evaluate their recall and precision. Based on our evaluation, we propose using a high recall strategy when there are plenty of resources or the results need to be exhaustive. For any other case, we propose optimal, or even acceptable, search strategies. As a secondary goal, we have analysed trends and weaknesses in terminology used in articles reporting software engineering experiments. We have found that it is impossible for a search strategy to retrieve 100% of the experiments of interest (as happens in other experimental disciplines), because of the shortage of reporting standards in the community. | |
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International
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Si |
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JCR
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Si |
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Title
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EMPIRICAL SOFTWARE ENGINEERING |
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ISBN
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1382-3256 |
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Impact factor JCR
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1,091 |
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Impact info
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Volume
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14 |
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10.1007/s10664-008-9091-7 |
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Journal number
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5 |
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From page
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513 |
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To page
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539 |
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Month
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SEPTIEMBRE |
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Ranking
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