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Record Nr. |
UNINA9910807623003321 |
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Titolo |
Machine learning applications in software engineering [[electronic resource] /] / editors, Du Zhang, Jeffrey J.P. Tsai |
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Pubbl/distr/stampa |
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Hackensack, N.J. ; ; Hong Kong, : World Scientific, c2005 |
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ISBN |
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1-281-37255-2 |
9786611372552 |
981-256-927-8 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (367 p.) |
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Collana |
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Series on software engineering and knowledge engineering ; ; v. 16 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Software engineering |
Computer software - Quality control |
Computer software - Evaluation |
Machine learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 345-355) and index. |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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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. |
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