Mining Software Engineering Data for Software Reuse (Advanced Information and Knowledge Processing)
Language: English
Published by Springer, 2020
Series: Book 62 of 66 - Advanced Information and Knowledge Processing
- Hardcover
- New
Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
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Condition: New
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- Title
- Mining Software Engineering Data for Software Reuse (Advanced Information and Knowledge Processing)
- Author
- Diamantopoulos, Themistoklis; Symeonidis, Andreas L.
- Publisher
- Springer
- Publication year
- 2020
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030301052
- ISBN 13
- 9783030301057
- Series
- Book 62 of 66: Advanced Information and Knowledge Processing
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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."About the title" may belong to another edition of this title.
Biblios
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