Mining the impact of object oriented metrics for change prediction using Machine Learning and Search-based techniques

Published: Aug 1, 2015
Abstract
Change in a software is crucial to incorporate defect correction and continuous evolution of requirements and technology. Thus, development of quality models to predict the change proneness attribute of a software is important to effectively utilize and plan the finite resources during maintenance and testing phase of a software. In the current scenario, a variety of techniques like the statistical techniques, the Machine Learning (ML)...
Paper Details
Title
Mining the impact of object oriented metrics for change prediction using Machine Learning and Search-based techniques
Published Date
Aug 1, 2015
Journal
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