Mining Software Engineering Data for Software Reuse

Themistoklis Diamantopoulos, Andreas L. Symeonidis

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English

Springer Nature Switzerland AG
06 August 2021

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

Series: 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.

By: Themistoklis Diamantopoulos, Andreas L. Symeonidis
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 2020 ed.
Dimensions: Height: 235mm, Width: 155mm,
Weight: 409g
ISBN: 9783030301088
ISBN 10: 3030301087
Series: Advanced Information and Knowledge Processing
Pages: 242
Publication Date: 06 August 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Part 1: Introduction and Background.- Introduction.- Theoretical Background and State-of-the-art.- Part II: Requirements Mining.- Modelling Software Requirements.- Mining Software Requirements.- Part III: Source Code Mining.- Source Code Indexing for Component Reuse.- Mining Source Code for Component Reuse.- Mining Source Code for Snippet Reuse.- Mining Solutions for Extended Snippet Reuse.- Part IV: Quality Assessment.- Providing Reusability-aware Recommendations.- Assessing the Reusability of Source Code Components.- Part V: Conclusion and Future Work.- Conclusion.- Future Work.- Bibliography