Machine-Learning-Assisted Software Defect Prediction by Zhou Xu (.PDF)
File Size: 14.4 MB
Machine-Learning-Assisted Software Defect Prediction by Zhou Xu
Requirements: .PDF reader, 14.4 MB
Overview: This book focuses on software defect prediction (SDP) in order to avoid threats related to quality, reliability and safety. It details advanced machine/deep learning technologies to discuss strategies for identifying and preventing such issues, and introduces innovative approaches to address feature irrelevance and redundancy, data imbalance in defect data, selection of representative module subsets for cross-version defect prediction, and managing data distribution variances in cross-project defect prediction. The book mainly targets academic researchers and graduate students, particularly those focusing on the intersection of software engineering and Machine Learning. It is also intended for software engineers and data scientists working on enhancing the quality and safety of software.
Genre: Non-Fiction > Tech & Devices
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