Name: Mining Software Engineering Data for Software Reuse (Advanced Information and Knowledge Processing) (en Inglés)
Price: 318.68 PEN
Availability: InStock
Author: Themistoklis Diamantopoulos; Andreas L. Symeonidis
ISBN: 9783030301057

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

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

Formato

Libro Físico

Editorial

Springer

Autor

Themistoklis Diamantopoulos; Andreas L. Symeonidis

Año

2020

Idioma

Inglés

N° páginas

242

Encuadernación

Tapa Dura

ISBN13

9783030301057

N° edición

Categorías

Minería de datos («data mining»)

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

Themistoklis Diamantopoulos; Andreas L. Symeonidis (Autor) · Springer · Tapa Dura

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Reseña del libro "Mining Software Engineering Data for Software Reuse (Advanced Information and Knowledge Processing) (en Inglés)"

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.