Abstract
Automated software refactoring is one of the hard combinatorial optimization problems of search-based software engineering domain. The idea is to enhance the quality of the existing software under the guidance of software quality metrics through applicable refactoring actions. In this study, we designed and implemented a web-service that uses discrete version of Artificial Bee Colony (ABC) optimization approach in order to enhance bytecode compiled Java programming language codes, automatically. The introduced service supports 20 different refactoring actions that realize intelligent ABC searches on design landscape defined by an adhoc quality model being an aggregation of 24 object-oriented software metrics.
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Koc, E., Ersoy, N., Camlidere, Z.S., Kilic, H. (2012). A Web-Service for Automated Software Refactoring Using Artificial Bee Colony Optimization. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30976-2_38
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DOI: https://doi.org/10.1007/978-3-642-30976-2_38
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