Chapter 5: The integrity of machine learning algorithms against software defect prediction
Param Khakhara; Rahul Kumar Dubeyb a Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, Indiab Robert Bosch Engineering and Business Solutions Private Limited, Bengaluru, Karnataka, India
Abstract
The increased computerization in recent years has resulted in the production of a variety of different software; however, measures need to be taken to ensure that the produced software is not defective. Many researchers have worked in this area and have developed different machine learning-based approaches that predict whether the software is defective or not. This issue cannot be resolved simply by ...
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