Mining Software Engineering Data for Software Reuse (Advanced Information and Knowledge Processing)

Diamantopoulos

ISBN 10: 3030301052 ISBN 13: 9783030301057

Edit� par Springer, 2020

Neuf(s) Couverture rigide

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This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance.

The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data.

Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effortthrough software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering.

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Titre : Mining Software Engineering Data for ...
�diteur : Springer
Date d'�dition : 2020
Reliure : Couverture rigide
Etat : New

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Mining Software Engineering Data for Software Reuse

Symeonidis, Andreas L.

Edit� par Springer Nature Switzerland, 2020

ISBN 10 : 3030301052 ISBN 13 : 9783030301057

Ancien ou d'occasion Couverture rigide

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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 264 | Sprache: Englisch | Produktart: B�cher | This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance. The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data. Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effortthrough software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering. N� de r�f. du vendeur 36211325/1

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Mining Software Engineering Data for Software Reuse

Symeonidis, Andreas L.

Edit� par Springer Nature Switzerland, 2020

ISBN 10 : 3030301052 ISBN 13 : 9783030301057

Ancien ou d'occasion Couverture rigide

Vendeur : Buchpark, Trebbin, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : Sehr gut. Zustand: Sehr gut | Seiten: 264 | Sprache: Englisch | Produktart: B�cher | This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance. The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data. Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effortthrough software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering. N� de r�f. du vendeur 36211325/2

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Mining Software Engineering Data for Software Reuse

Themistoklis Diamantopoulos|Andreas L. Symeonidis

Edit� par Springer International Publishing, 2020

ISBN 10 : 3030301052 ISBN 13 : 9783030301057

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Enables the reader to understand the main benefits and challenges of software reuse when designing and building software Provides answers to a large number of reuse-related questions posed, for all stages of the Software Engineering l. N� de r�f. du vendeur 448678305

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Mining Software Engineering Data for Software Reuse (Advanced Information and Knowledge Processing)

Diamantopoulos

Edit� par Springer, 2020

ISBN 10 : 3030301052 ISBN 13 : 9783030301057

Neuf Couverture rigide

Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis

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Mining Software Engineering Data for Software Reuse

Diamantopoulos, Themistoklis; Symeonidis, Andreas L.

Edit� par Springer, 2020

ISBN 10 : 3030301052 ISBN 13 : 9783030301057

Neuf Couverture rigide

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Mining Software Engineering Data for Software Reuse

Andreas L. Symeonidis

Edit� par Springer International Publishing Mrz 2020, 2020

ISBN 10 : 3030301052 ISBN 13 : 9783030301057

Neuf Couverture rigide

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance.The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data.Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effort through software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering. 264 pp. Englisch. N� de r�f. du vendeur 9783030301057

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Mining Software Engineering Data for Software Reuse

Andreas L. Symeonidis

Edit� par Springer International Publishing, Springer Nature Switzerland M�r 2020, 2020

ISBN 10 : 3030301052 ISBN 13 : 9783030301057

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Neuware -This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance.The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data.Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effortthrough software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. N� de r�f. du vendeur 9783030301057

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Mining Software Engineering Data for Software Reuse

Andreas L. Symeonidis

Edit� par Springer International Publishing, 2020

ISBN 10 : 3030301052 ISBN 13 : 9783030301057

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance.The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data.Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effortthrough software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering. N� de r�f. du vendeur 9783030301057

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