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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Search Based Software Maintenance: Methods and Tools
verfasst von : Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto
Erschienen in: Evolving Software Systems
Verlag: Springer Berlin Heidelberg
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Software evolution is an effort-prone activity, and requires developers to make complex and difficult decisions. This entails the development of automated approaches to support various software evolution-related tasks, for example aimed at suggesting refactoring or remodularization actions. Finding a solution to these problems is intrinsically NP-hard, and exhaustive approaches are not viable due to the size and complexity of many software projects. Therefore, during recent years, several software-evolution problems have been formulated as optimization problems, and resolved with meta-heuristics.
This chapter overviews how search-based optimization techniques can support software engineers in a number of software evolution tasks. For each task, we illustrate how the problem can be encoded as a search-based optimization problem, and how meta-heuristics can be used to solve it. Where possible, we refer to some tools that can be used to deal with such tasks.