Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge of developing and maintaining larger and complex software systems in a dynamic and changing environment, machine learning methods have been playing an increasingly important role in many software development and maintenance tasks. Advances in Machine Learning Applications in Software Engineering provides analysis, characterization, and refinement of software engineering data in terms of machine learning methods. This book depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality. Advances in Machine Learning Applications in Software Engineering offers readers direction for future work in this emerging research field.
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Du Zhang received his Ph. D. degree in Computer Science from the Universtiy of Illinois at Chicago. Currently, he serves as a Professor in the Department of Computer Science at California State, Sacramento, a senior member of IEEE, a member of IEEE Computer Society, a member of ACM, and a member of the American Association for Artificial Intelligence. He has published over 80 papers in journals, conferences and book chapters and is the Associate Editor for the International Journal of Artificial Intelligence Tools.
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