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Martin P. (Hrsg.) Robillard

Recommendation Systems in Software Engineering

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With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data.This book collects, structures, and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: Part I - Techniques introduces basics for building recommenders in software engineering, including techniques for collecting and processing software e… Mehr

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Produktdetails


Weitere Autoren: Zimmermann, Thomas (Hrsg.) / Walker, Robert J. (Hrsg.) / Maalej, Walid (Hrsg.)
  • ISBN: 978-3-642-45134-8
  • EAN: 9783642451348
  • Produktnummer: 16340069
  • Verlag: Springer Berlin Heidelberg
  • Sprache: Englisch
  • Erscheinungsjahr: 2014
  • Seitenangabe: 576 S.
  • Masse: H24.1 cm x B16.0 cm x D3.6 cm 1'021 g
  • Auflage: 2014
  • Abbildungen: HC runder Rücken kaschiert
  • Gewicht: 1021

Über den Autor


Martin P. Robillard is an Associate Professor of Computer Science at McGill University. His current research focuses on problems related to API usability, information discovery and knowledge management in software engineering.Walid Maalej is a Professor of Informatics at the University of Hamburg. He previously led a research group on human and context factors in software at the TU Munich. His current research interests include the context-aware recommendation systems and social software engineering.Robert J. Walker is an Associate Professor of Computer Science at the University of Calgary. His current research involves automated analysis and support for unanticipated software reuse tasks.Thomas Zimmermann is a researcher at Microsoft Research, Adjunct Assistant Professor at the University of Calgary and an affiliate faculty member at the University of Washington. He is best known for his research on systematic mining of version archives and bug databases to conduct empirical studies and to build tools.

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