Measuring behavioral dependency for improving change-proneness prediction in UML-based design models |
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Authors: | Ah-Rim Han [Author Vitae] Sang-Uk Jeon [Author Vitae] |
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Affiliation: | a Division of CS, College of Information Science and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-701, Republic of Korea b Computer Engineering Division, School of Electrical and Computer Engineering, Chungbuk National University, Chungju 361-763, Republic of Korea |
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Abstract: | Several studies have explored the relationship between the metrics of the object-oriented software and the change-proneness of the classes. This knowledge can be used to help decision-making among design alternatives or assess software quality such as maintainability. Despite the increasing use of complex inheritance relationships and polymorphism in object-oriented software, there has been less emphasis on developing metrics that capture the aspect of dynamic behavior. Considering dynamic behavior metrics in conjunction with existing metrics may go a long way toward obtaining more accurate predictions of change-proneness. To address this need, we provide the behavioral dependency measure using structural and behavioral information taken from UML 2.0 design models. Model-based change-proneness prediction helps to make high-quality software by exploiting design models from the earlier phase of the software development process. The behavioral dependency measure has been evaluated on a multi-version medium size open-source project called JFlex. The results obtained show that the proposed measure is a useful indicator and can be complementary to existing object-oriented metrics for improving the accuracy of change-proneness prediction when the system contains high degree of inheritance relationships and polymorphism. |
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Keywords: | Change-proneness UML Behavioral dependency measure Object-oriented metrics |
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