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Development of software change prediction models, based on the change histories of a software, are valuable for early identification of change prone classes. Classification of these change prone classes is vital to yield competent use of limited resources in an organization. This paper validates Artificial Immune System (AIS) algorithms for development of change prediction models using six open source...
Managing change in the early stages of a software development life cycle is an effective strategy for developing a good quality software at low costs. In order to manage change, we use software quality models which can efficiently predict change prone classes and hence guide developers in appropriate distribution of limited resources. This study examines the effectiveness of ten machine learning algorithms...
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