Mining Summer School 2010
June 9-12, 2010.
School of Computing, Queen’s University, Kingston, ON, Canada.
Sponsored by MITACS.
The Mining Software Repositories (MSR) field analyzes the rich data available in software repositories to uncover interesting and actionable information about software systems and projects. It has gained popularity since 2004 with the first instance of the MSR workshop (now conference) and continues to be one of the fastest growing fields in the area of software engineering.
This summer school will provide students with opportunities to learn the background needed to excel in this emerging and important field. For researchers, the summer school offers a platform to discuss and collaborate on the future of the MSR field. The summer school is also an opportunity for industry to learn how to adopt MSR ideas in practice. The speakers are leading experts on MSR from academia and industry.
“At the gateway to the 1000 Islands and the UNESCO designated Rideau Canal, Kingston is a city rich in history, culture, critically acclaimed attractions and cuisine. Kingston is the perfect backdrop to your next adventure. Visit Kingston today…” (tourism.kingstoncanada.com)
Schedule
Below is the final schedule of the summer school.
Registration
Registration is CAN$ 250 for students and faculty and CAN $450 for industry. Registration covers breaks, banquet, and reception.
Students: Email one or two paragraphs describing your intent and research interests to the organizers at miningschool@gmail.com; optionally include slides or posters of your research. You will receive an acknowledgement email within three working days. (If not, contact the organizers directly.) You will get notice about whether you have been accepted to the summer school within two weeks.
Due to limited spots, it is advisable for students to apply as soon as possible. The first round of acceptance notices will be send on May 3rd, 2010.
Faculty and industry: To request the registration link, please contact the organizers at miningschool@gmail.com.
Accomodation
Recommended accommodation: During the summer, Queen’s residences offer accommodation on the main campus. For reservations, contact Queen’s Event Services (613) 533-2223, e-mail event.services@queensu.ca, or you can book your accommodation online at https://housing.queensu.ca/reservations/ (select “MSR Summer School Accommodations” in the scroll down menu).
The 2010 rates in a standard room (Victoria Hall) are $47.25 single, and $57.75 double, and in a premium room (Leggett Hall) $99 per night for a two bedroom unit. Your room includes bed linens, towels, soap, desk, free Internet (bring your own Ethernet cord) and housekeeping service. Rates are subject to the current rate of tax.
Alternatively, nearby hotels include Holiday Inn Kingston Waterfront, Four Points by Sheraton Kingston, Radisson Kingston Harbourfront, and Residence Inn Kingston Water’s Edge
Speakers
Dr. Tim Menzies. Tim Menzies has been working on advanced modeling and AI since 1986. He received his PhD from the University of New South Wales, Sydney, Australia and is the author of 190 refereeed papers. A former research chair for NASA, Dr. Menzies is now a associate professor at the West Virginia University’s Lane Department of Computer Science and Electrical Engineering. http://www.menzies.us
Dr. Audris Mockus. Audris Mockus conducts research of complex dynamic systems. He designs data mining methods to summarize and augment the system evolution data, interactive visualization techniques to inspect, present, and control the systems, and statistical models and optimization techniques to understand the systems. Audris Mockus received B.S. and M.S. in Applied Mathematics from Moscow Institute of Physics and Technology in 1988. In 1991 he received M.S. and in 1994 he received Ph.D. in Statistics from Carnegie Mellon University. He works at Avaya Labs Research. Previously he worked at Software Production Research Department of Bell Labs. http://www.mockus.us
Dr. Tao Xie. Tao Xie is an Assistant Professor in the Department of Computer Science at North Carolina State University. He received his Ph.D. in Computer Science from the University of Washington in 2005. His research interests are in software engineering, under two major themes: automated software testing and mining software engineering data. Besides doing research, he has contributed to understanding the software engineering research community. He has served as ACM SIGSOFT History Liaison in the SIGSOFT Executive Committee. He received an NSF CAREER Award in 2009. He received 2008 and 2009 IBM Faculty Awards and a 2008 IBM Jazz Innovation Award. He received the ASE 2009 Best Paper Award and an ACM SIGSOFT Distinguished Paper Award. He served as Program Committee Co-Chair of 2009 IEEE International Conference on Software Maintenance (ICSM) and serves as a Program Committee Co-Chair of 2011 International Working Conference on Mining Software Repositories (MSR). He has served on program committees of various conferences, including ICSE, ISSTA, ASE, and WWW. http://www.csc.ncsu.edu/faculty/xie/
Organizers
Dr. Ahmed Hassan (main contact). Ahmed E. Hassan is the NSERC/RIM Industrial Research Chair in Software Engineering for Ultra Large Scale systems at the School of Computing in Queen’s University. He spearheaded the organization of the Mining Software Repositories (MSR) conference and community. Early tools and techniques developed by his team are already integrated into products used by millions of users worldwide. His industrial experience includes helping architect the Blackberry wireless platform at RIM, and working for IBM Research at the Almaden Research Lab and the Computer Research Lab at Nortel Networks. His research interests are mining software repositories, scaling software analysis and testing techniques to large scale software systems. http://www.cs.queensu.ca/~ahmed/
Dr. Daniel German. Daniel German is associate professor in Computer Science at the University of Victoria. His research interests are the evolution of software, open source software engineering and software licensing. http://turingmachine.org
Dr. Thomas Zimmermann. Thomas Zimmermann is a researcher at Microsoft Research and an adjunct professor at the University of Calgary. His research focuses on systematic mining of version archives and bug databases to conduct empirical studies and to build new tools. His tools can automatically identify related change, method usage patterns, and cross-cutting concerns. 
He co-organized an ICSM working session on Myths in Software Engineering (MythSE ’07), the DEFECTS workshops in 2008 and 2009, and RSSE ’08 and ’10. He served on a variety of program committees, including MSR, PROMISE, CSMR, and the ACM Conference on Recommender Systems (RecSys). He is PC co-chair for MSR ’10 and ’11. His research interests are empirical software engineering, mining software repositories, recommender systems, and social networking. http://thomas-zimmermann.com
