MSR 2007: Minneapolis, MN, USA

Fourth International Workshop on Mining Software Repositories, MSR 2007 (ICSE Workshop), Minneapolis, MN, USA, May 19-20, 2007, Proceedings. IEEE Computer Society 2007 BibTeX

Bugs

Cathrin Weiß, Rahul Premraj, Thomas Zimmermann, Andreas Zeller:
How Long Will It Take to Fix This Bug? 1
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John Anvik, Gail C. Murphy:
Determining Implementation Expertise from Bug Reports. 2
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Shuuji Morisaki, Akito Monden, Tomoko Matsumura, Haruaki Tamada, Ken-ichi Matsumoto:
Defect Data Analysis Based on Extended Association Rule Mining. 3
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Osamu Mizuno, Shiro Ikami, Shuya Nakaichi, Tohru Kikuno:
Spam Filter Based Approach for Finding Fault-Prone Software Modules. 4
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Teams

Shawn Minto, Gail C. Murphy:
Recommending Emergent Teams. 5
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Christian Bird, Alex Gourley, Premkumar T. Devanbu, Anand Swaminathan, Greta Hsu:
Open Borders? Immigration in Open Source Projects. 6
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Olga Baysal, Andrew J. Malton:
Correlating Social Interactions to Release History during Software Evolution. 7
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Liguo Yu, Srini Ramaswamy:
Mining CVS Repositories to Understand Open-Source Project Developer Roles. 8
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Mining

Peter Weißgerber, Mathias Pohl, Michael Burch:
Visual Data Mining in Software Archives to Detect How Developers Work Together. 9
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Christoph Kiefer, Abraham Bernstein, Jonas Tappolet:
Mining Software Repositories with iSPAROL and a Software Evolution Ontology. 10
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Thomas Zimmermann:
Mining Workspace Updates in CVS. 11
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Mark Grechanik, Kevin M. Conroy, Katharina Probst:
Finding Relevant Applications for Prototyping. 12
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Stephen P. Masticola:
Lightweight Risk Mitigation for Software Development Projects Using Repository Mining. 13
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Changes

Gerardo Canfora, Luigi Cerulo, Massimiliano Di Penta:
Identifying Changed Source Code Lines from Version Repositories. 14
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Romain Robbes:
Mining a Change-Based Software Repository. 15
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Filip Van Rysselberghe, Serge Demeyer:
Studying Versioning Information to Understand Inheritance Hierarchy Changes. 16
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Huzefa H. Kagdi, Jonathan I. Maletic:
Combining Single-Version and Evolutionary Dependencies for Software-Change Prediction. 17
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Angela Lozano, Michel Wermelinger, Bashar Nuseibeh:
Evaluating the Harmfulness of Cloning: A Change Based Experiment. 18
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Patterns and Models

Abram Hindle, Michael W. Godfrey, Richard C. Holt:
Release Pattern Discovery via Partitioning: Methodology and Case Study. 19
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Huzefa H. Kagdi, Michael L. Collard, Jonathan I. Maletic:
Comparing Approaches to Mining Source Code for Call-Usage Patterns. 20
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Israel Herraiz, Jesús M. González-Barahona, Gregorio Robles:
Towards a Theoretical Model for Software Growth. 21
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Simone Livieri, Yoshiki Higo, Makoto Matsushita, Katsuro Inoue:
Analysis of the Linux Kernel Evolution Using Code Clone Coverage. 22
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Developers, Developers, Developers

Peter C. Rigby, Ahmed E. Hassan:
What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List. 23
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Daniel M. Germán:
Using Software Distributions to Understand the Relationship among Free and Open Source Software Projects. 24
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Giuseppe Valetto, Mary E. Helander, Kate Ehrlich, Sunita Chulani, Mark N. Wegman, Clay Williams:
Using Software Repositories to Investigate Socio-technical Congruence in Development Projects. 25
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Christian Bird, Alex Gourley, Premkumar T. Devanbu:
Detecting Patch Submission and Acceptance in OSS Projects. 26
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Sunghun Kim, Michael D. Ernst:
Prioritizing Warning Categories by Analyzing Software History. 27
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Mining Challenge

Jesús M. González-Barahona, Gregorio Robles, Israel Herraiz:
Impact of the Creation of the Mozilla Foundation in the Activity of Developers. 28
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Lucas D. Panjer:
Predicting Eclipse Bug Lifetimes. 29
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Erik Linstead, Paul Rigor, Sushil Krishna Bajracharya, Cristina Videira Lopes, Pierre Baldi:
Mining Eclipse Developer Contributions via Author-Topic Models. 30
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Adrian Schröter:
Predicting Defects and Changes with Import Relations. 31
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Israel Herraiz, Jesús M. González-Barahona, Gregorio Robles:
Forecasting the Number of Changes in Eclipse Using Time Series Analysis. 32
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Hemant Joshi, Chuanlei Zhang, Srini Ramaswamy, Coskun Bayrak:
Local and Global Recency Weighting Approach to Bug Prediction. 33
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