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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Cooperative Co-evolutionary Optimization of Software Project Staff Assignments and Job Scheduling
verfasst von : Jian Ren, Mark Harman, Massimiliano Di Penta
Erschienen in: Search Based Software Engineering
Verlag: Springer Berlin Heidelberg
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This paper presents an approach to Search Based Software Project Management based on Cooperative Co-evolution. Our approach aims to optimize both developers’ team staffing and work package scheduling through cooperative co-evolution to achieve early overall completion time. To evaluate our approach, we conducted an empirical study, using data from four real-world software projects. Results indicate that the Co-evolutionary approach significantly outperforms a single population evolutionary algorithm. Cooperative co-evolution has not previously been applied to any problem in Search Based Software Engineering (SBSE), so this paper reports the first application of cooperative co-evolution in the SBSE literature. We believe that co-evolutionary optimization may fit many applications in other SBSE problem domains, since software systems often have complex inter-related subsystems and are typically characterized by problems that need to be co-evolved to improve results.