Effective mining of software repositories

With the advent of open-source, the Internet, and the consequent widespread adoption of distributed development tools, such as software configuration management and issue tracking systems, a vast amount of valuable information concerning software development and evolution has become available.

[1]  Alberto Bacchelli,et al.  Are Popular Classes More Defect Prone? , 2010, FASE.

[2]  Ken-ichi Matsumoto,et al.  Predicting Re-opened Bugs: A Case Study on the Eclipse Project , 2010, 2010 17th Working Conference on Reverse Engineering.

[3]  Sushil Krishna Bajracharya,et al.  CodeGenie: using test-cases to search and reuse source code , 2007, ASE '07.

[4]  Stéphane Ducasse,et al.  How developers drive software evolution , 2005, Eighth International Workshop on Principles of Software Evolution (IWPSE'05).

[5]  Harald C. Gall,et al.  Visualizing multiple evolution metrics , 2005, SoftVis '05.

[6]  Romain Robbes,et al.  The Small Project Observatory: Visualizing software ecosystems , 2010, Sci. Comput. Program..

[7]  Michele Lanza,et al.  An extensive comparison of bug prediction approaches , 2010, 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010).

[8]  Meir M. Lehman.  Programs, life cycles, and laws of software evolution , 1980 .

[9]  Romain Robbes,et al.  Software systems as cities: a controlled experiment , 2011, 2011 33rd International Conference on Software Engineering (ICSE).

[10]  Audris Mockus,et al.  Expertise Browser: a quantitative approach to identifying expertise , 2002, Proceedings of the 24th International Conference on Software Engineering. ICSE 2002.

[11]  Thomas Zimmermann,et al.  Improving bug tracking systems , 2009, 2009 31st International Conference on Software Engineering - Companion Volume.

[12]  J. Herbsleb,et al.  Two case studies of open source software development: Apache and Mozilla , 2002, TSEM.

[13]  Audris Mockus,et al.  Using version control data to evaluate the impact of software tools , 1999, Proceedings of the 1999 International Conference on Software Engineering (IEEE Cat. No.99CB37002).

[14]  Tao Xie,et al.  An approach to detecting duplicate bug reports using natural language and execution information , 2008, 2008 ACM/IEEE 30th International Conference on Software Engineering.

[15]  Marc J. Rochkind,et al.  The source code control system , 1975, IEEE Transactions on Software Engineering.

[16]  Romain Robbes,et al.  Improving code completion with program history , 2010, Automated Software Engineering.

[17]  Audris Mockus,et al.  International Workshop on Mining Software Repositories , 2004 .

[18]  Walter F. Tichy,et al.  Implementation and evaluation of a revision control system , 1982 .

[19]  Premkumar T. Devanbu,et al.  Talk and work: a preliminary report , 2008, MSR '08.

[20]  Romain Robbes,et al.  Replaying IDE interactions to evaluate and improve change prediction approaches , 2010, 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010).

[21]  Romain Robbes,et al.  Versioning systems for evolution research , 2005, Eighth International Workshop on Principles of Software Evolution (IWPSE'05).

[22]  Romain Robbes,et al.  Of Change and Software , 2009 .

[23]  Alberto Bacchelli,et al.  Exploring, exposing, and exploiting emails to include human factors in software engineering , 2011, 2011 33rd International Conference on Software Engineering (ICSE).

[24]  Daniel M. Germán,et al.  Identifying licensing of jar archives using a code-search approach , 2010, 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010).

[25]  Michael W. Godfrey,et al.  Evolution in open source software: a case study , 2000, Proceedings 2000 International Conference on Software Maintenance.

[26]  Carsten Görg,et al.  Detecting and visualizing refactorings from software archives , 2005, 13th International Workshop on Program Comprehension (IWPC'05).

[27]  Meir M. Lehman,et al.  On understanding laws, evolution, and conservation in the large-program life cycle , 1984, J. Syst. Softw..

[28]  Serge Demeyer,et al.  Detecting move operations in versioning information , 2006, Conference on Software Maintenance and Reengineering (CSMR'06).

[29]  Richard C. Holt,et al.  Replaying development history to assess the effectiveness of change propagation tools , 2006, Empirical Software Engineering.

[30]  Harald C. Gall,et al.  EvoGraph: A Lightweight Approach to Evolutionary and Structural Analysis of Large Software Systems , 2006, 2006 13th Working Conference on Reverse Engineering.

[31]  Mik Kersten,et al.  Using task context to improve programmer productivity , 2006, SIGSOFT '06/FSE-14.

[32]  Gail C. Murphy,et al.  Predicting source code changes by mining change history , 2004, IEEE Transactions on Software Engineering.

[33]  Michele Lanza,et al.  Visualizing Co-Change Information with the Evolution Radar , 2009, IEEE Transactions on Software Engineering.

[34]  Tim Menzies,et al.  Data Mining Static Code Attributes to Learn Defect Predictors , 2007 .

[35]  Thomas Zimmermann,et al.  Towards the next generation of bug tracking systems , 2008, 2008 IEEE Symposium on Visual Languages and Human-Centric Computing.

[36]  Andreas Zeller,et al.  Mining version histories to guide software changes , 2005, Proceedings. 26th International Conference on Software Engineering.

[37]  Audris Mockus,et al.  Future of Mining Software Archives: A Roundtable , 2009, IEEE Software.

[38]  Romain Robbes,et al.  How developers use the dynamic features of programming languages: the case of smalltalk , 2011, MSR '11.

[39]  Lionel C. Briand,et al.  Dynamic coupling measurement for object-oriented software , 2004, IEEE Transactions on Software Engineering.

[40]  Lucian Voinea,et al.  An open framework for CVS repository querying, analysis and visualization , 2006, MSR '06.

[41]  Rainer Koschke,et al.  Effort-Aware Defect Prediction Models , 2010, 2010 14th European Conference on Software Maintenance and Reengineering.

[42]  Gina Venolia,et al.  The secret life of bugs: Going past the errors and omissions in software repositories , 2009, 2009 IEEE 31st International Conference on Software Engineering.

[43]  Thomas Zimmermann,et al.  Information needs in bug reports: improving cooperation between developers and users , 2010, CSCW '10.

[44]  Lucian Voinea,et al.  Case study: Visual analytics in software product assessments , 2009, 2009 5th IEEE International Workshop on Visualizing Software for Understanding and Analysis.

[45]  Romain Robbes,et al.  Linking e-mails and source code artifacts , 2010, 2010 ACM/IEEE 32nd International Conference on Software Engineering.

[46]  Stéphane Ducasse,et al.  Characterizing the evolution of class hierarchies , 2005, Ninth European Conference on Software Maintenance and Reengineering.

[47]  Harald C. Gall,et al.  Detection of logical coupling based on product release history , 1998, Proceedings. International Conference on Software Maintenance (Cat. No. 98CB36272).

[48]  Mik Kersten,et al.  Mylar: a degree-of-interest model for IDEs , 2005, AOSD '05.

[49]  Janice Singer,et al.  NavTracks: supporting navigation in software maintenance , 2005, 21st IEEE International Conference on Software Maintenance (ICSM'05).