Machine learning applications in software engineering / / editors, Du Zhang, Jeffrey J.P. Tsai

• Pubblicazione: Hackensack, N.J. ; ; Hong Kong, : World Scientific, c2005
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (367 p.)
• Disciplina: 006.31
• Soggetto topico: Software engineering; Computer software - Quality control; Computer software - Evaluation; Machine learning
• Altri autori: ZhangDu TsaiJeffrey J.-P
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 345-355) and index.
• Nota di contenuto: ACKNOWLEDGMENT; TABLE OF CONTENTS; Chapter 1 Introduction to Machine Learning and Software Engineering; Chapter 2 ML Applications in Prediction and Estimation; Chapter 3 ML Applications in Property and Model Discovery; Chapter 4 ML Applications in Transformation; Chapter 5 ML Applications in Generation and Synthesis; Chapter 6 ML Applications in Reuse; Chapter 7 ML Applications in Requirement Acquisition; Chapter 8 ML Applications in Management of Development Knowledge; Chapter 9 Guidelines and Conclusion; References
• Sommario/riassunto: Machine learning deals with the issue of how to build computerprograms that improve their performance at some tasks throughexperience. Machine learning algorithms have proven to be of greatpractical value in a variety of application domains. Not surprisingly,the field of software engineering turns out to be a fertile groundwhere many software development and maintenance tasks could beformulated as learning problems and approached in terms of learningalgorithms.
• Titolo autorizzato: Machine learning applications in software engineering
• ISBN: 1-281-37255-2; 9786611372552; 981-256-927-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910807623003321
• Lo trovi qui: Univ. Federico II
• Serie: Series on software engineering and knowledge engineering ; ; v. 16.