Indian Journal of Science and Technology
DOI: 10.17485/ijst/2018/v11i8/121148
Year: 2018, Volume: 11, Issue: 8, Pages: 1-8
Original Article
Ra’Fat Al-Msie’deen* and Anas H. Blasi
Department of IT, Faculty of Information Technology, Mutah University, P.O. Box 7, Mutah 61710, Karak, Jordan; [email protected], [email protected]
*Author for correspondence
Ra’Fat Al-Msie’deen,
Department of IT, Faculty of Information Technology, Mutah University, P.O. Box 7, Mutah 61710, Karak, Jordan; [email protected]
The Object-Oriented (OO) software system evolves over the time to meet the new requirements. Based on the initial release of software, the continuous modification of software code leads to software evolution. Software needs to evolve over the time to meet the new user’s requirements. Software companies often develop variant software of the original one depends on customers’ needs. The main hypothesis of this paper states that the software when it evolves over the time, its code continues to grow, change and become more complex. This paper proposes an automatic approach (Iris) to examine the proposed hypothesis. Originality of this approach is the exploiting of the software variants to study the impact of software evolution on the software metrics. This paper presents the results of experiments conducted on three releases of drawing shapes software, sixteen releases of rhino software, eight releases of mobile media software and ten releases of ArgoUML software. Based on the extracted software metrics, It has been found that Iris hypothesis is supported by the computed metrics.
Keywords: Object-Oriented Software, Software Variants, Reverse Engineering, Software Engineering, Software Evolution, Software Metrics, Software Complexity
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