Recommendation Systems in Software Engineering

Recommendation Systems in Software Engineering

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 kn...

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Bibliographic Details
Published in:Springer eBooks
Corporate Author: SpringerLink (Online service)
Other Authors: Robillard, Martin P. (Editor), Maalej, Walid (Editor), Walker, Robert J. (Editor), Zimmermann, Thomas (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Subjects:
Computer Science.
Software engineering.
Information storage and retrieval systems.
Information systems.
Software Engineering.
Management of Computing and Information Systems.
Information Storage and Retrieval.
Online Access:http://dx.doi.org/10.1007/978-3-642-45135-5
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Table of Contents:
  • 1 An Introduction to Recommendation Systems in Software Engineering
  • Part I Techniques
  • 2 Basic Approaches in Recommendation Systems
  • 3 Data Mining
  • 4 Recommendation Systems in-the-Small
  • 5 Source Code Based Recommendation Systems
  • 6 Mining Bug Data
  • 7 Collecting and Processing Interaction Data for Recommendation Systems
  • 8 Developer Profiles for Recommendation Systems
  • 9 Recommendation Delivery
  • Part II Evaluation
  • 10 Dimensions and Metrics for Evaluating Recommendation Systems
  • 11 Benchmarking
  • 12 Simulation
  • 13 Field Studies
  • Part III Applications
  • 14 Reuse-Oriented Code Recommendation Systems
  • 15 Recommending Refactoring Operations in Large Software Systems
  • 16 Recommending Program Transformations
  • 17 Recommendation Systems in Requirements Discovery
  • 18 Changes, Evolution and Bugs
  • 19 Recommendation Heuristics for Improving Product Line Configuration Processes.

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