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Maintenance activities in object oriented software systems using K-means clustering technique: A review

机译:使用K-means聚类技术的面向对象软件系统中的维护活动:回顾

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摘要

The software maintenance work is presently much more expensive than what it should be and takes more time to implement. It consumes a significant amount of resources in software development. Object-oriented technique has become a defacto standard in the software development community. Therefore, it is necessary to design object based software system keeping maintainability in mind. In this work data clustering technique's K-means clustering is used to identify maintainable classes at design level. We also show the significant level of goodness of clusters using chi-square test.
机译:当前,软件维护工作比其应有的工作要昂贵得多,并且需要更多的时间来实施。它在软件开发中消耗了大量资源。面向对象技术已成为软件开发社区中的事实上的标准。因此,有必要设计一种基于对象的软件系统,同时要牢记可维护性。在这项工作中,数据聚类技术的K-means聚类用于在设计级别识别可维护的类。我们还使用卡方检验显示了聚类的显着性水平。

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