Title: Exploring the relationships between design measures and change proneness in object-oriented systems

Authors: Deepa Godara; Rakesh Kumar Singh

Addresses: Department of Computer Science, Uttarakhand Technical University, Dehradun 248007, Uttarkhand, India ' Bipin Tripathi Kumaon Institute of Technology, Dwarahat 263653, Almora, Uttarakhand, India

Abstract: Managing change early in software development life cycle can lead to good quality software. Developing software requires a huge amount of time and assets. On the other hand, maintenance expenses are higher than development expenses, which are a major cause for concern, especially, for the systems developed with new technologies. Predicting change is an active research area in the field of software engineering. Such predictions can be used to estimate changes from one release of software to the next. This paper explores various parameters and relationships that can be considered in predicting change prone classes. We elaborate dependency approach method which calculates if one class is dependent on other or not, if a class is dependent, dependency value can be calculated using UML 2.0 sequence diagram. Further, we have extracted frequency and popularity feature from an application that can be used for estimating change prone classes. We have related frequency and popularity with dependency in terms of method calling. Also, we have created a tool in Java which generates UML 2.0 sequence diagram and using the sequence diagram dependency value is generated.

Keywords: frequent item set mining algorithm; software maintenance; dynamic metrics; software development life cycle; frequency; popularity.

DOI: 10.1504/IJSETA.2017.086931

International Journal of Software Engineering, Technology and Applications, 2017 Vol.2 No.1, pp.64 - 80

Received: 14 Sep 2015
Accepted: 12 Feb 2016
Published online: 03 Oct 2017 *

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