Overview
- Enables the reader to understand the main benefits and challenges of software reuse when designing and building software
- Provides answers to a large number of reuse-related questions posed, for all stages of the Software Engineering life cycle: Requirements Elicitation & Specifications Extraction, Software Design and Development, Quality Assurance
- Includes a variety of methods, tools, libraries and working prototypes for applying data-driven Software Reuse in practice
- Offers step-by-step processes for applying data-driven Software Reuse on different types of data, including Software Requirements, UML Diagrams, Source Code, meta-information from Online Repositories, and Quality Metrics
- Treats both theoretical and practical aspects of Software Reuse and discusses state-of-the-art alternatives for each approach proposed
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (12 chapters)
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Front Matter
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Introduction and Background
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Front Matter
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Requirements Mining
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Front Matter
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Quality Assessment
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Front Matter
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Conclusion and Future Work
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Front Matter
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Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Mining Software Engineering Data for Software Reuse
Authors: Themistoklis Diamantopoulos, Andreas L. Symeonidis
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-3-030-30106-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-30105-7Published: 31 March 2020
Softcover ISBN: 978-3-030-30108-8Published: 06 August 2021
eBook ISBN: 978-3-030-30106-4Published: 30 March 2020
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XXI, 242
Number of Illustrations: 71 b/w illustrations, 103 illustrations in colour
Topics: Software Engineering, Data Engineering, Data Mining and Knowledge Discovery, Open Source, Software Management