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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.