Mining Software Engineering Data for Softw...

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Beschreibung

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.

Zusammenfassung

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

Inhaltsverzeichnis

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

Erscheinungsjahr:	2021
Genre:	Informatik , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xxi 242 S. 71 s/w Illustr. 103 farbige Illustr. 242 p. 174 illus. 103 illus. in color.
ISBN-13:	9783030301088
ISBN-10:	3030301087
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Symeonidis, Andreas L. Diamantopoulos, Themistoklis
Auflage:	1st edition 2020
Hersteller:	Springer Nature Switzerland Springer International Publishing
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 15 mm
Von/Mit:	Andreas L. Symeonidis (u. a.)
Erscheinungsdatum:	06.08.2021
Gewicht:	0,406 kg

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