Advances in Machine Learning Applications in Software Engineering

Advances in Machine Learning Applications in Software Engineering

Du Zhang (California State University, USA) and Jeffery J.P. Tsai (University of Illinois at Chicago, USA)
Indexed In: SCOPUS View 1 More Indices
Release Date: October, 2006|Copyright: © 2007 |Pages: 498
DOI: 10.4018/978-1-59140-941-0
ISBN13: 9781591409410|ISBN10: 1591409411|EISBN13: 9781591409434
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Description & Coverage
Description:

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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Editor/Author Biographies
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.
Jeffery J. P. Tsai received his Ph.D. degree in Computer Science from Northwestern University, Evanston, Illinois. He currently serves as a professor in the Department of Computer Science at the University of Illinois at Chicago, director of the Distributed Real-Time Intelligent Systems Laboratory, a Fellow of the IEEE, a member of the American Association for the Advancement of Science, and a member of the Society for Design and Process Science. He is currently the Co-Editor-In-Chief of the International Journal on Artificial Intelligence Tools, an Editor of the IEEE Transactions on Knowledge and Data Engineering, the International Journal of Systems Integration, the Annals of Software Engineering, and the International Journal of Software Engineering and Knowledge Engineering.
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