Mining Software Engineering Data for Software Reuse (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advanced Information and Knowledge Processing
Release date:	April 2020
First published:	2020
Authors:	Themistoklis Diamantopoulos • Andreas L Symeonidis
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	242
Edition:	1st ed. 2020
ISBN-13:	978-3-03-030105-7
Categories:	Books > Computing & IT > Computer programming > Software engineering Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-03-030105-2
Barcode:	9783030301057

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