Machine learning applications in software engineering:
Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering tur...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2005
|
| Schlagworte: | |
| Online-Zugang: | FHN01 URL des Erstveroeffentlichers |
| Zusammenfassung: | Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area |
| Beschreibung: | x, 355 p. ill., ports |
| ISBN: | 9789812569271 |
Internformat
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| id | DE-604.BV044634093 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:57:43Z |
| institution | BVB |
| isbn | 9789812569271 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030032065 |
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| physical | x, 355 p. ill., ports |
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| publishDate | 2005 |
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| spelling | Machine learning applications in software engineering editors, Du Zhang, Jeffrey J. P. Tsai Singapore World Scientific Pub. Co. c2005 x, 355 p. ill., ports txt rdacontent c rdamedia cr rdacarrier Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area Software engineering Computer software / Quality control Computer software / Evaluation Machine learning Zhang, Du Sonstige oth Tsai, Jeffrey J.-P. Sonstige oth Erscheint auch als Druck-Ausgabe 9789812560940 Erscheint auch als Druck-Ausgabe 9812560947 http://www.worldscientific.com/worldscibooks/10.1142/5700#t=toc Verlag URL des Erstveroeffentlichers Volltext |
| spellingShingle | Machine learning applications in software engineering Software engineering Computer software / Quality control Computer software / Evaluation Machine learning |
| title | Machine learning applications in software engineering |
| title_auth | Machine learning applications in software engineering |
| title_exact_search | Machine learning applications in software engineering |
| title_full | Machine learning applications in software engineering editors, Du Zhang, Jeffrey J. P. Tsai |
| title_fullStr | Machine learning applications in software engineering editors, Du Zhang, Jeffrey J. P. Tsai |
| title_full_unstemmed | Machine learning applications in software engineering editors, Du Zhang, Jeffrey J. P. Tsai |
| title_short | Machine learning applications in software engineering |
| title_sort | machine learning applications in software engineering |
| topic | Software engineering Computer software / Quality control Computer software / Evaluation Machine learning |
| topic_facet | Software engineering Computer software / Quality control Computer software / Evaluation Machine learning |
| url | http://www.worldscientific.com/worldscibooks/10.1142/5700#t=toc |
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