Mining Software Engineering Data for Software Reuse

Themistoklis Diamantopoulos, Andreas L. Symeonidis

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English

Springer Nature Switzerland AG
31 March 2020

Computing & IT; Software Engineering; Databases; Data mining; Expert & knowledge-based systems

Series: Advanced Information and Knowledge Processing

Summary
Details

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.

By: Themistoklis Diamantopoulos, Andreas L. Symeonidis
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 2020 ed.
Dimensions: Height: 235mm, Width: 155mm,
Weight: 565g
ISBN: 9783030301057
ISBN 10: 3030301052
Series: Advanced Information and Knowledge Processing
Pages: 242
Publication Date: 31 March 2020
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active