Authors: Deepa Bura; Amit Choudhary
Addresses: Department of Computer Science and Engineering, Faculty of Engineering and Technology, Manav Rachna International Institute of Research and Studies, India ' Department of Computer Science and Engineering, Maharaja Surajmal Institute, Guru Gobind Singh Indraprastha University, India
Abstract: Software systems changes constantly with time. Changing the software affects all the classes associated with it. For effective project management it becomes important to predict change impact classes in earlier phases of software life cycle. This paper aims to develop a novel model using dynamic metrics and several behavioural dependencies. Using code analyser trace events 30 different metrics are analysed which are further used for refining the degree of change impact feature of a class. Further the model is validated using K-means clustering technique, naïve Bayes classification and logistic regression in WEKA tool. Validation of the model is done using open source software Art of Illusion (AoI).
Keywords: change impact; notability; frequency; change prone classes; project management; software metrics; software development; software maintenance; software engineering; software reengineering.
International Journal of Project Organisation and Management, 2020 Vol.12 No.2, pp.119 - 132
Received: 11 Oct 2018
Accepted: 14 Apr 2019
Published online: 03 Apr 2020 *