Title Page; Table of Contents; Preface; Acknowledgments; Section I: Data Analysis and Refinement; Chapter I: A Two-Stage Zone Regression Method for Global Characterization of a Project Database; Chapter II: Intelligent Analysis of Software Maintenance Data; Chapter III: Improving Credibility of Machine Learner Models in Software Engineering; Section II: Applications of Software Development; Chapter IV: ILP Applications of Software Engineering; Chapter V: MMIR: An Advanced Content-Based Image Retrieval System Using a Hierarchical Learning Framework
Summary
"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It 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 while offering readers suggestions by proposing future work in this emerging research field"--Provided by publisher
