期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2011
卷号：2
期号：4
页码：201-208
出版社：ARPN Publishers
摘要：In the last decade, empirical studies on object-oriented design metrics have shown some of them to be useful for predicting the faults-proneness of classes in object-oriented software systems. It would be valuable to know how object-oriented design metrics and class fault-proneness are related when fault severity is taken into account. In this paper we use logistic regression and principal component methods to empirically investigate the usefulness of object-oriented design metrics, specially a subset of the Chidamber and Kemerer suite in predicting fault-proneness when taking fault severity into account. In the era of Object Oriented software metrics demand for quality software has undergone with rapid growth during the last few years. This is leading to an increase in the development of metrics for measuring the properties of software such as coupling, cohesion and inheritance that can be used in early Quality assessments. Much effort has been developed to the development and empirical validation of software metrics. Quality models that explore the relationship between these properties and quality attributes such as fault proneness, maintainability, effort or productivity are needed to use these metrics effectively. The goal of this work is to empirically explore the relationship between Object Oriented Design Metrics and Fault Proneness of object oriented system classes. The object oriented spatial complexity measures proposed in literature were formulated by keeping C++ language in mind, and there were no spatial complexity measures available for the Java language. Keeping in view the increasing popularity of Java, this paper attempts to define the spatial complexity measures for Java applications. Our results are based on Open Source Java Projects and Post Graduate Engineering student’s projects. We are empirically analyzed and tested with our Software Tool.
