株式会社極東書店トップ ＞ 商品一覧 ＞ Mining Software Engineering Data for Software Reuse. 2020 ed.
商品詳細
Mining Software Engineering Data for Software Reuse. 2020 ed.
・ISBN 978-3-030-30108-8 paper EUR 99.99
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| 著者・編者 | Diamantopoulos, Themistoklis / Symeonidis, Andreas L., |
|---|---|
| シリーズ | (Advanced Information and Knowledge Processing) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2021 |
| ページ数 | 242 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-54234＞ |
解説
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.