Program

Thursday 25 April 2013

 Time          Program
  9:00 - 09:30  Opening, welcome, and remarks
  9:30 - 10:30  Chapter intro talks (5min. each)  Part I
 10:30 - 11:00  Coffee break
 11:00 - 12:00  Chapter intro talks (5min. each)  Part II
 12:00 - 13:30  Lunch
 13:30 - 15:00  Working groups by subject area
 15:00 - 15:30  Coffee break
 15:30 - 17:00  Plenary: summaries of working groups and Q&A 
 17:00 -   Social event at the Hamburg Harbor

Friday 26 April 2013

 Time          Program
  9:30 - 11:00  Selected tutorial talks
 11:00 - 11:30  Coffee break
 11:30 - 12:30  Organizational issues, TOC, glossary
 12:30 - 13:30  Lunch
 13:30 - 15:00  Conclusion chapter & book promotion

List of proposed contributions
(in order of presentation at the meeting)

RSSE TECHNIQUES
  • (6) Recommendation Delivery: Getting the User Interface Just Right, by Emerson Murphy-Hill and Gail Murphy
  • (28) Basic Approaches in Recommendation Systems, by Alexander Felfernig, Michael Jeran, Gerald Ninaus, Florian Reinfrank, Stefan Reiterer and Martin Stettinger
  • (30) Data Mining Techniques in Software Engineering, by Tim Menzies
  • (3) Representing Programmer Profiles, by Annie T.T. Ying and Martin Robillard
  • (19) Collecting and Processing Interaction Data for Recommendation Systems, by Walid Maalej, Thomas Fritz and Romain Robbes
  • (8) Recommendations in the Small, by Laura Inozemtseva, Reid Holmes and Robert Walker
  • (34) Feature Recommendations, by Negar Hariri, Carlos Castro Herrera, Jane Cleland-Huang and Bamshad Mobasher
RSSE EVALUATION
  • (12) Evaluating Recommendation Systems: Quantitative Measures and Features to Consider, by Iman Avazpour, Teerat Pitakrat, Lars Grunske and John Grundy
  • (17) Benchmarking of Recommender Systems, by Alan Said, Domonkos Tikk and Paolo Cremonesi
  • (31) Simulation to Evaluate Recommendation Systems for Software Engineering, by Robert Walker and Reid Holmes
  • (35) Field Studies, by Ayse Tosun Misirli, Ayse Bener, Bora Caglayan, Handan Gul Calikli and Burak Turhan
RSSE APPLICATIONs
  • (2) Mining Bug Data: A Practitioner’s Guide, by Kim Herzig and Andreas Zeller
  • (20) Mining Source Code for Recommendation Systems, by Kim Mens and Angela Lozano
  • (16) Changes, Evolution and Bugs - Recommendation Systems for Issue Management, by Markus Borg and Per Runeson
  • (13) Reuse-oriented Code Recommendation Systems, by Werner Janjic, Colin Atkinson and Oliver Hummel
  • (33) Recommending Program Transformations to Automate Repetitive Software Changes, by Miryung Kim and Na Meng
  • (27) Recommending Refactoring Operations in Large Software Systems, by Gabriele Bavota, Andrea De Lucia, Andrian Marcus and Rocco Oliveto
  • (38) Recommender Systems in Large-Scale On-line Requirement Processes, by Negar Hariri, Carlos Castro Herrera, Jane Cleland-Huang and Bamshad Mobasher
  • (23) Some Heuristics for Improving Interactivity in Product-Line Configuration Processes, by Raul Mazo, Cosmin Dumitrescu, Camille Salinesi and Daniel Diaz