Abstract
|
|
---|---|
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. | |
International
|
Si |
JCR
|
Si |
Title
|
EMPIRICAL SOFTWARE ENGINEERING |
ISBN
|
1382-3256 |
Impact factor JCR
|
1,091 |
Impact info
|
|
Volume
|
14 |
|
10.1007/s10664-008-9091-7 |
Journal number
|
5 |
From page
|
513 |
To page
|
539 |
Month
|
SEPTIEMBRE |
Ranking
|