Rand-Index Target Projective Gradient Deep Belief Network for Software Fault Prediction
T Shathish Kumar
Abstract:Predicting defective software modules before testing is a valuable operation that reduces time and cost of software testing. Source code fault prediction plays a vital role in improving software quality that effectively assists in optimization testing resource allocation. Several machine learning and ensemble learning techniques has been extensively evolved over the recent few years to predict defect at an early stage. These techniques made predictions based on historical defect data, the software metrics. N… Show more
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