Mining Software Engineering Data for Software Reuse

Download or Read eBook Mining Software Engineering Data for Software Reuse PDF written by Themistoklis Diamantopoulos and published by Springer Nature. This book was released on 2020-03-30 with total page 252 pages. Available in PDF, EPUB and Kindle.
Mining Software Engineering Data for Software Reuse
Author :
Publisher : Springer Nature
Total Pages : 252
Release :
ISBN-10 : 9783030301064
ISBN-13 : 3030301060
Rating : 4/5 (64 Downloads)

Book Synopsis Mining Software Engineering Data for Software Reuse by : Themistoklis Diamantopoulos

Book excerpt: 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.


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