Buch, Englisch, 242 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g
Buch, Englisch, 242 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g
Reihe: Advanced Information and Knowledge Processing
ISBN: 978-3-030-30108-8
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik EDV | Informatik Betriebssysteme Linux Betriebssysteme, Open Source Betriebssysteme
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
Weitere Infos & Material
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