Sharing Data and Models in Software Engineering
Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share lar…
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Produktdetails
Weitere Autoren: Kocaguneli, Ekrem / Turhan, Burak / Minku, Leandro / Peters, Fayola
- ISBN: 978-0-12-417307-1
- EAN: 9780124173071
- Produktnummer: 35982562
- Verlag: Elsevier Science & Techn.
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 406 S.
- Plattform: EPUB
Über den Autor
Tim Menzies, Full Professor, CS, NC State and a former software research chair at NASA. He has published 200+ publications, many in the area of software analytics. He is an editorial board member (1) IEEE Trans on SE; (2) Automated Software Engineering journal; (3) Empirical Software Engineering Journal. His research includes artificial intelligence, data mining and search-based software engineering. He is best known for his work on the PROMISE open source repository of data for reusable software engineering experiments.
6 weitere Werke von Tim Menzies:
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