期刊
ACM COMPUTING SURVEYS
卷 45, 期 1, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2379776.2379787
关键词
Algorithms; Design; Experimentation; Management; Performance; Software engineering; search-based techniques; survey
资金
- EPSRC [EP/D050863]
- EU [IST-33472]
In the past five years there has been a dramatic increase in work on Search-Based Software Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based Optimization (SBO) algorithms are used to address problems in SE. SBSE has been applied to problems throughout the SE lifecycle, from requirements and project planning to maintenance and reengineering. The approach is attractive because it offers a suite of adaptive automated and semiautomated solutions in situations typified by large complex problem spaces with multiple competing and conflicting objectives. This article(1) provides a review and classification of literature on SBSE. The work identifies research trends and relationships between the techniques applied and the applications to which they have been applied and highlights gaps in the literature and avenues for further research.
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