文章基本信息

标题：Optimizing Software Clustering using Hybrid Bee Colony Approach
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作者：Kawal Jeet
期刊名称：Computer Engineering and Intelligent Systems
印刷版ISSN：2222-1727
电子版ISSN：2222-2863
出版年度：2015
卷号：6
期号：2
页码：43-49
语种：English
出版社：International Institute for Science, Technology Education
摘要：Maintenance of software is the most expensive and complicated phase of the software development lifecycle. It becomes more cumbersome if the architecture of the software system is not available. Search-based optimization is found to be a technique very efficient in recovering the architecture of such a system. In this paper, we propose a technique which is based on a combination of artificial honey bee swarm intelligent algorithm and genetic algorithm to recover this architecture. In this way, it will be very helpful to software maintainers for efficient and effective software maintenance. In order to evaluate the success of this approach, it has been applied to a few real-world module clustering problems. The results we obtained support our claim that this approach produces architecture significantly better than the existing approaches.
其他摘要：Maintenance of software is the most expensive and complicated phase of the software development lifecycle. It becomes more cumbersome if the architecture of the software system is not available. Search-based optimization is found to be a technique very efficient in recovering the architecture of such a system. In this paper, we propose a technique which is based on a combination of artificial honey bee swarm intelligent algorithm and genetic algorithm to recover this architecture. In this way, it will be very helpful to software maintainers for efficient and effective software maintenance. In order to evaluate the success of this approach, it has been applied to a few real-world module clustering problems. The results we obtained support our claim that this approach produces architecture significantly better than the existing approaches. Keywords: Artificial bee colony algorithm, Genetic algorithm, Software clustering, Software Modularization.
关键词：Artificial bee colony algorithm; Genetic algorithm; Software clustering; Software Modularization.