MSR 2013 - 10th Working Conference on Mining Software Repositories
May 18-19 2013. San Francisco, California, USA
http://2013.msrconf.org

Co located with the 35th ACM/IEEE International Conference on Software
Engineering (ICSE 2013)

Sponsored by IEEE TCSE and ACM SIGSOFT
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NEW IN 2013!

Data papers for describing data sets curated by their authors and
making them available to the research community

Practice papers for experiences of applying mining repository
algorithms in an industry/open source organization context


IMPORTANT DATES

Research/Practice abstracts: Feb 8, 2013
Research/Practice papers: Feb 15, 2013
Data papers: Feb 15, 2013
Challenge papers: Mar 04, 2013
Author notification: Mar 15, 2013
Camera-ready copy: Mar 29, 2013
Conference: May 18-19, 2013

All submission deadlines are 11:59 PM (Pago Pago, American Samoa) on
the dates indicated.


CALL FOR PAPERS

Software repositories such as source control systems, archived
communications between project personnel, and defect tracking systems
are used to help manage the progress of software projects. Software
practitioners and researchers are recognizing the benefits of mining
this information to support the maintenance of software systems,
improve software design/reuse, and empirically validate novel ideas
and techniques. Research is now proceeding to uncover the ways in
which mining these repositories can help to understand software
development and software evolution, to support predictions about
software development, and to exploit this knowledge concretely in
planning future development. The goal of this two-day working
conference is to advance the science and practice of software
engineering via the analysis of data stored in software repositories.

This year, we will solicit three tracks of papers: research, practice,
and data. As in previous MSR editions, there will be a Mining
Challenge and a special issue of best MSR papers in the Empirical
Software Engineering journal.

Research papers:
Research papers can be short papers (4 pages) and full papers (10
pages). Short research papers should discuss controversial issues in
the field, or describe interesting or thought provoking ideas that are
not yet fully developed. Accepted short papers will present their
ideas in a short lightning talk. Full research papers are expected to
describe new research results, and have a higher degree of technical
rigor than short papers.

Practice papers: (New!)
Practice papers should report experiences of applying mining
repository algorithms in an industry/open source organization context.
Practice papers aim at reporting positive or negative experiences of
applying known algorithms, but adapting existing algorithms or
proposing new algorithms for practical use would be plus. Practice
papers also can be short papers (4 pages) and full papers (10 pages).

Data papers: (New!)
We want to encourage researchers to share their data. Data papers
should describe data sets curated by their authors and made available
to others. They are expected to be at most 4 pages long and should
address the following: description of the data, including its source;
methodology used to gather it; description of the schema used to store
it, and any limitations and/or challenges of this data set. The data
should be made available at the time of submission of the paper for
review, but will be considered confidential until publication of the
paper. Further details about data papers are available on the
conference website.

Mining challenge:
In the Mining Challenge, we invite researchers to demonstrate the
usefulness of their mining tools on preselected software repositories
and summarize their findings in a challenge report (4 pages). Please
visit our Challenge Web Site for details about the Mining Challenge.

EMSE SPECIAL ISSUE

A selection of the best research papers will be invited for
consideration in a special issue of the journal, Empirical Software
Engineering (EMSE). edited by Springer.

TOPICS

Papers may address issues along the general themes, including but not
limited to the following:
- Analysis of software ecosystems and mining of repositories across
multiple projects
- Models for social and development processes that occur in large
software projects
- Prediction of future software qualities via analysis of software repositories
- Models of software project evolution based on historical repository data
- Characterization, classification, and prediction of software defects
based on analysis of software repositories
- Techniques to model reliability and defect occurrences
- Search-driven software development, including search techniques to
assist developers in finding suitable components and code fragments
for reuse, and software search engines
- Analysis of change patterns and trends to assist in future development
- Visualization techniques and models of mined data
- Techniques and tools for capturing new forms of data for storage in
software repositories, such as effort data, fine-grained changes, and
refactoring
- Characterization of bias in mining and guidelines to ensure quality results
- Privacy and ethics in mining software repositories
- Meta-models, exchange formats, and infrastructure tools to
facilitate the sharing of extracted data and to encourage reuse and
repeatability
- Empirical studies on extracting data from repositories of large
long-lived and/or industrial projects
- Methods of integrating mined data from various historical sources
- Approaches, applications, and tools for software repository mining
- Mining software licensing and copyrights
- Mining execution traces and logs
- Analysis of natural language artifacts in software repositories


SUBMISSION

All papers must conform at time of submission to the ICSE/MSR 2013
Formatting Instructions and must not exceed the page limits
(research/practice papers: 10 pages; short papers: 4 pages; data
papers: 4 pages; challenge reports: 4 pages), including all text,
references, appendices and figures. All submissions must be in English
and in PDF format.

Papers submitted for consideration should not have been published
elsewhere and should not be under review or submitted for review
elsewhere for the duration of consideration. ACM plagiarism policies
and procedures shall be followed for cases of double submission.

Papers must be submitted electronically through EasyChair using the
following URL: http://easychair.org/conferences/?conf=msr2013

Upon notification of acceptance, all authors of accepted papers will
be asked to complete an IEEE Copyright form and will receive further
instructions for preparing their camera ready versions. At least one
author of each paper is expected to present the results at the MSR
2013 conference. All accepted contributions will be published in the
conference electronic proceedings.


CONFERENCE ORGANIZATION

General Chair:
Thomas Zimmermann, Microsoft Research, USA

Program Co-Chairs:
Massimiliano Di Penta, University of Sannio, Italy
Sung Kim, Hong Kong University of Science and Technology, China

Chief of Data:
Daniel M. German, University of Victoria, Canada

Challenge Chair:
Alberto Bacchelli, University of Lugano, Switzerland

Web Chair:
Julius Davies, University of British Columbia, Canada

Programm Committee:
Mithun Acharya, ABB Research, USA
Bram Adams, École Polytechnique de Montréal, Canada
Giuliano Antoniol, École Polytechnique de Montréal, Canada
Christian Bird, Microsoft Research, USA
Raymond Buse, Google Inc., USA
Gerardo Canfora, University of Sannio, Italy
Andy Chou, Coverity Inc., USA
Prem Devanbu, University of California, Davis, USA
Stephan Diehl, University Trier, Germany
Vladimir Filkov, University of California, Davis, USA
Thomas Fritz, University of Zurich, Switzerland
Harald Gall, University of Zurich, Switzerland
Daniel German, University of Victoria, Canada
Yossi Gill, Technion, Israel
Mike W. Godfrey, University of Waterloo, Canada
Mark Harman, University College London, UK
Ahmed E. Hassan, Queen's University, Canada
Israel Herraiz, Universidad Politécnica de Madrid, Spain
Emily Hill, Montclair State University, USA
Abram Hindle, University of Alberta, Canada
Reid Holmes, University of Waterloo, Canada
Katsuro Inoue, University of Osaka, Japan
Foutse Khomh, Queen's University, Canada
Michele Lanza, University of Lugano, Switzerland
David Lo, Singapore Management University, Singapore
Audris Mockus, Avaya Labs Research, USA
David Morgenthaler, Google Inc., USA
Thomas Ostrand, Rutgers University, USA
John Penix, Google Inc., USA
Martin Pinzger, Delft Technical University, Netherlands
Denys Poshyvanyk, The College of William and Mary, USA
Romain Robbes, University of Chile, Chile
Peter Rotella, Cisco Systems, USA
Chanchal K. Roy, University of Saskatchewan, Canada
Emad Shihab, Rochester Institute of Technology, USA
Lin Tan, University of Waterloo, Canada
Suresh Thummalapenta, IBM Research, India
Jim Whitehead, University of California, Santa Cruz, USA
Laurie Williams, North Carolina State University, USA
Tao Xie, North Carolina State University, USA
Andreas Zeller, Saarland University, Germany
Dongmei Zhang, Microsoft Research, China
Hongyu Zhang, Tsinghua University, China

Data Committee:
Israel Herraiz, Universidad Politécnica de Madrid, Spain
Abram Hindle, University of Alberta, Canada
Charles D. Knutson, Brigham Young University, USA
Jonathan L. Krein, Brigham Young University, USA
Gregorio Robles, University of Rey Juan Carlos, Spain
Adrian Schröter, University of Victoria, Canada
Emad Shihab, Rochester Institute of Technology, USA

Mining Challenge Committee:
Gabriele Bavota, University of Salerno, Italy
Olga Baysal, University of Waterloo, Canada
Oscar Callau, University of Chile, Chile
Julius Davies, University of British Columbia, Canada
Emanuel Giger, University of Zurich, Switzerland
Georgios Gousios, Delft University of Technology, Netherlands
Anja Guzzi, Delft University of Technology, Netherlands
Sonia Haiduc, Wayne State University, USA
Chris Parnin, Georgia Institute of Technology, USA
Shaun Phillips, University of Calgary, Canada
Sarah Rastkar, University of British Columbia, Canada
Stephen Thomas, Queen's University, Canada
Christoph Treude, McGill University, Canada

Steering Committee:
See the conference website

Technical sponsors:
IEEE Technical Council on Software Engineering (TCSE)
ACM SIGSOFT