Details
Mining Software Engineering Data for Software Reuse
Advanced Information and Knowledge Processing
|
CHF 118.00 |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 30.03.2020 |
| ISBN/EAN: | 9783030301064 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>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.</p>
<p>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.</p>
<p>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. <i>Mining Software Engineering Data for Software Reuse</i> can also prove handy for graduate-level students in software engineering.</p><div><div><br></div><div><br></div></div>
<p>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.</p>
<p>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. <i>Mining Software Engineering Data for Software Reuse</i> can also prove handy for graduate-level students in software engineering.</p><div><div><br></div><div><br></div></div>
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
<p>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.</p>
<p>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.</p>
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. <i>Mining Software Engineering Data for Software Reuse</i> can also prove handy for graduate-level students in software engineering.<p></p>
<p>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.</p>
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. <i>Mining Software Engineering Data for Software Reuse</i> can also prove handy for graduate-level students in software engineering.<p></p>
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
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