文章基本信息

标题：To propose a new algorithm for improving software architecture with clustering algorithm
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作者：Jyoti Godara ; Shilpa Sharma
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：1
页码：10089-10092
出版社：IJECS
摘要：The size and difficulty of business potential software systems are continually rising. This means that the task of supervision ofa large software project is becoming even more demanding, particularly in light of high turnover of skilled human resources. Softwareclustering approaches can help with the task of understanding large, complicated software systems by automatically decomposing them intosmaller, easier-to-manage subsystems. In this paper we recognize significant study instructions in the area of software clustering thatrequire further attention in order to develop more effective and efficient clustering methodologies for software engineering. To that end, wefirst there the state of the art in software clustering research. We consider the methods of clustering that have received the most attentionfrom the research community and outline their strengths and weaknesses. Our paper defines every stages of a clustering algorithmseparately. We also present the most important approaches for evaluating the value of software clustering.
关键词：Software Architecture; Clustering; K-Mean Clustering