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ORCID3rd RSSE@ICSE 2012: Zurich, Switzerland
- Walid Maalej, Martin P. Robillard, Robert J. Walker, Thomas Zimmermann:
Proceedings of the Third International Workshop on Recommendation Systems for Software Engineering, RSSE 2012, Zurich, Switzerland, June 4, 2012. IEEE 2012, ISBN 978-1-4673-1759-7 - Francis Palma, Hadi Farzin, Yann-Gaël Guéhéneuc, Naouel Moha:
Recommendation system for design patterns in software development: an DPR overview. 1-5 - Georg Dotzler, Ronald Veldema, Michael Philippsen
:
Annotation support for generic patches. 6-10 - Giuseppe Valetto, Kelly Blincoe, Sean P. Goggins:
Actionable identification of emergent teams in software development virtual organizations. 11-15 - Lars Heinemann:
Facilitating reuse in model-based development with context-dependent model element recommendations. 16-20 - Nan Niu, Fangbo Yang, Jing-Ru C. Cheng, Sandeep Reddivari:
A cost-benefit approach to recommending conflict resolution for parallel software development. 21-25 - Alberto Bacchelli, Luca Ponzanelli, Michele Lanza:
Harnessing stack overflow for the IDE. 26-30 - Kurt Schneider, Stefan Gärtner, Tristan Wehrmaker, Bernd Brügge:
Recommendations as learning: from discrepancies to software improvement. 31-32 - Mathias Landhäußer, Adrian Genaid:
Connecting user stories and code for test development. 33-37 - Alexey Zagalsky, Ohad Barzilay, Amiram Yehudai:
Example overflow: using social media for code recommendation. 38-42 - Konstantinos Christidis, Fotis Paraskevopoulos, Dimitris Panagiotou, Gregoris Mentzas:
Combining activity metrics and contribution topics for software recommendations. 43-46 - Abdel Salam Sayyad, Hany H. Ammar, Tim Menzies:
Software feature model recommendations using data mining. 47-51 - Angela Lozano, Andy Kellens, Kim Mens:
Automated assessment of correctness of recommendation systems. 52-53 - Paolo Cremonesi, Matteo Picozzi, Maristella Matera:
A comparison of recommender systems for mashup composition. 54-58 - Alexander Felfernig, Gerald Ninaus:
Group recommendation algorithms for requirements prioritization. 59-62 - Igor Steinmacher, Igor Scaliante Wiese, Marco Aurélio Gerosa:
Recommending mentors to software project newcomers. 63-67 - Naoya Murakami, Hidehiko Masuhara:
Optimizing a search-based code recommendation system. 68-72 - Takashi Kobayashi, Nozomu Kato, Kiyoshi Agusa:
Interaction histories mining for software change guide. 73-77 - Oliver Denninger:
Recommending relevant code artifacts for change requests using multiple predictors. 78-79 - Antonina Danylenko, Welf Löwe:
Context-aware recommender systems for non-functional requirements. 80-84 - Joel Cordeiro, Bruno Antunes, Paulo Gomes:
Context-based recommendation to support problem solving in software development. 85-89 - Roberta Arcoverde, Isela Macia Bertran, Alessandro F. Garcia, Arndt von Staa:
Automatically detecting architecturally-relevant code anomalies. 90-91 - Jonas Trümper, Jürgen Döllner:
Extending recommendation systems with software maps. 92-96
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