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Prof. Robbes is visiting MOBIS

Prof. Romain Robbes from the University of Chile is visiting our group during the winter of 2014. He is collaborating with us on a project, which aims at analyzing developers interactions and predicting their current tasks. We are very glad to have him with us.

Romain Robbes is assistant professor at the University of Chile, in the PLEIAD research lab, since January 2010. He earned his PhD in 2008 from the University of Lugano, Switzerland and received his Mastera��s degree from the University of Caen, France. His research interests lie in Empirical Software Engineering and Mining Software Repositories. He authored more than 30 papers on these topics at top software engineering venues (ICSE, ASE, EMSE). He was program co-chair of IWPSE- EVOL 2011, and the recipient of a Microsoft SEIF award 2011.A�

RSSE Hamburg Meeting, April 25th.-26th


We are hosting theA�Hamburg Meeting onA�Recommendation Systems in Software Engineering A�(RSSE Hamburg Meeting) on April 25th and 26th 2013.

During this closed event 25 top researchers from all over the world will present and discuss the state-of-the-art on Recommendation Systems in Software Engineering.A�

RecommendationA�systems support decision making by helping their users navigate through large information spaces. Many activities in software engineering require searching, understanding, and managing large amounts of highly-technical and inter-related information. With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommender systems have emerged that specifically target the unique challenges of navigating software engineering data. Martin P. Robillard, Walid Maalej, Robert J. Walker and Thomas Zimmermann have invited international experts that align with the theme of recommendations systems to contribute to an edited book to be published by Springer in 2013. This book will collect state-of-the-art knowledge on the basic techniques required to mine software engineering data to produce recommendations, on the effective ways to apply these techniques in various application domains, and on the approaches that can be employed to assess the value of recommendations in highly-technical domains.A�


Local chair

Please note that this is a closed event. Only invited researchers can participate.