Mining Software Engineering Data for Software Reuse - Couverture souple

Diamantopoulos, Themistoklis; Symeonidis, Andreas L.

9783030301088: Mining Software Engineering Data for Software Reuse

Couverture souple

ISBN 10 : 3030301087 ISBN 13 : 9783030301088

Editeur : Springer, 2021

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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 effort through software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2021
ISBN 10 3030301087
ISBN 13 9783030301088
ReliureBroch�
Langueanglais
Nombre de pages264
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9783030301057: Mining Software Engineering Data for Software Reuse

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ISBN 10 : 3030301052 ISBN 13 : 9783030301057
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Mining Software Engineering Data for Software Reuse

Themistoklis Diamantopoulos|Andreas L. Symeonidis

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030301087 ISBN 13 : 9783030301088

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Kartoniert / Broschiert. 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 483479814

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Mining Software Engineering Data for Software Reuse

Andreas L. Symeonidis

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030301087 ISBN 13 : 9783030301088

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Taschenbuch. 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 9783030301088

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Mining Software Engineering Data for Software Reuse

Andreas L. Symeonidis

Edit� par Springer International Publishing Aug 2021, 2021

ISBN 10 : 3030301087 ISBN 13 : 9783030301088

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Taschenbuch. 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 9783030301088

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Mining Software Engineering Data for Software Reuse

Andreas L. Symeonidis

Edit� par Springer International Publishing, Springer Nature Switzerland Aug 2021, 2021

ISBN 10 : 3030301087 ISBN 13 : 9783030301088

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. 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 9783030301088

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