An effective change recommendation approach for supplementary bug fixes
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[1] Yoram Singer,et al. An Efficient Boosting Algorithm for Combining Preferences by , 2013 .
[2] Yuanyuan Zhang,et al. Search-based software engineering: Trends, techniques and applications , 2012, CSUR.
[3] Premkumar T. Devanbu,et al. Recommending random walks , 2007, ESEC-FSE '07.
[4] D. West. Introduction to Graph Theory , 1995 .
[5] Martin P. Robillard,et al. Non-essential changes in version histories , 2011, 2011 33rd International Conference on Software Engineering (ICSE).
[6] Tibor Gyimóthy,et al. Using information retrieval based coupling measures for impact analysis , 2009, Empirical Software Engineering.
[7] Andrea De Lucia,et al. Cross-project defect prediction models: L'Union fait la force , 2014, 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE).
[8] Kalyanmoy Deb,et al. Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.
[9] Jane Cleland-Huang,et al. Improving trace accuracy through data-driven configuration and composition of tracing features , 2013, ESEC/FSE 2013.
[10] Ken-ichi Matsumoto,et al. Studying re-opened bugs in open source software , 2012, Empirical Software Engineering.
[11] F. Wilcoxon. Individual Comparisons by Ranking Methods , 1945 .
[12] Foutse Khomh,et al. Supplementary Bug Fixes vs. Re-opened Bugs , 2014, 2014 IEEE 14th International Working Conference on Source Code Analysis and Manipulation.
[13] Jian Zhou,et al. Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports , 2012, 2012 34th International Conference on Software Engineering (ICSE).
[14] David Lo,et al. Automatic, high accuracy prediction of reopened bugs , 2014, Automated Software Engineering.
[15] Ahmed Tamrawi,et al. Fuzzy set and cache-based approach for bug triaging , 2011, ESEC/FSE '11.
[16] Sarfraz Khurshid,et al. Improving bug localization using structured information retrieval , 2013, 2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE).
[17] Laurie J. Hendren,et al. Enabling static analysis for partial java programs , 2008, OOPSLA.
[18] Claire Le Goues,et al. GenProg: A Generic Method for Automatic Software Repair , 2012, IEEE Transactions on Software Engineering.
[19] Richard C. Holt,et al. Predicting change propagation in software systems , 2004, 20th IEEE International Conference on Software Maintenance, 2004. Proceedings..
[20] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[21] Yang Feng,et al. Towards more accurate multi-label software behavior learning , 2014, 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE).
[22] Martin P. Robillard,et al. Concern graphs: finding and describing concerns using structural program dependencies , 2002, Proceedings of the 24th International Conference on Software Engineering. ICSE 2002.
[23] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[24] Philip J. Guo,et al. Characterizing and predicting which bugs get reopened , 2012, 2012 34th International Conference on Software Engineering (ICSE).
[25] Lionel C. Briand,et al. A practical guide for using statistical tests to assess randomized algorithms in software engineering , 2011, 2011 33rd International Conference on Software Engineering (ICSE).
[26] Andreas Zeller,et al. The impact of tangled code changes , 2013, 2013 10th Working Conference on Mining Software Repositories (MSR).
[27] Hajimu Iida,et al. Who should review my code? A file location-based code-reviewer recommendation approach for Modern Code Review , 2015, 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER).
[28] Eleni Stroulia,et al. UMLDiff: an algorithm for object-oriented design differencing , 2005, ASE.
[29] Dongmei Zhang,et al. How do software engineers understand code changes?: an exploratory study in industry , 2012, SIGSOFT FSE.
[30] Tie-Yan Liu,et al. Learning to Rank for Information Retrieval , 2011 .
[31] Gregory N. Hullender,et al. Learning to rank using gradient descent , 2005, ICML.
[32] Miryung Kim,et al. An empirical study on reducing omission errors in practice , 2014, ASE.
[33] David Lo,et al. Cross-language bug localization , 2014, ICPC 2014.
[34] Brian D. Davison,et al. Learning to rank for freshness and relevance , 2011, SIGIR.
[35] Shinji Kusumoto,et al. CCFinder: A Multilinguistic Token-Based Code Clone Detection System for Large Scale Source Code , 2002, IEEE Trans. Software Eng..
[36] Hoan Anh Nguyen,et al. Recurring bug fixes in object-oriented programs , 2010, 2010 ACM/IEEE 32nd International Conference on Software Engineering.
[37] Will G. Hopkins,et al. A new view of statistics , 2002 .
[38] Andreas Zeller,et al. Mining Cause-Effect-Chains from Version Histories , 2011, 2011 IEEE 22nd International Symposium on Software Reliability Engineering.
[39] H. Abdi. The Bonferonni and Šidák Corrections for Multiple Comparisons , 2006 .
[40] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[41] S. N. Sivanandam,et al. Introduction to genetic algorithms , 2007 .
[42] Taghi M. Khoshgoftaar,et al. Evolutionary Optimization of Software Quality Modeling with Multiple Repositories , 2010, IEEE Transactions on Software Engineering.
[43] Mark Harman,et al. Searching for better configurations: a rigorous approach to clone evaluation , 2013, ESEC/FSE 2013.
[44] Miryung Kim,et al. An empirical study of supplementary bug fixes , 2012, 2012 9th IEEE Working Conference on Mining Software Repositories (MSR).
[45] Tao Qin,et al. FRank: a ranking method with fidelity loss , 2007, SIGIR.
[46] Avinash C. Kak,et al. Retrieval from software libraries for bug localization: a comparative study of generic and composite text models , 2011, MSR '11.
[47] Mark Harman,et al. Search-based software engineering , 2001, Inf. Softw. Technol..
[48] David E. Goldberg,et al. Genetic algorithms and Machine Learning , 1988, Machine Learning.
[49] Richard C. Holt,et al. Replaying development history to assess the effectiveness of change propagation tools , 2006, Empirical Software Engineering.
[50] Gail C. Murphy,et al. Predicting source code changes by mining change history , 2004, IEEE Transactions on Software Engineering.
[51] Ahmed E. Hassan,et al. Supporting software evolution using adaptive change propagation heuristics , 2008, 2008 IEEE International Conference on Software Maintenance.
[52] Gerardo Canfora,et al. Multi-objective Cross-Project Defect Prediction , 2013, 2013 IEEE Sixth International Conference on Software Testing, Verification and Validation.
[53] Zhi-Hua Zhou,et al. Ensemble Methods: Foundations and Algorithms , 2012 .
[54] Andreas Zeller,et al. Mining version histories to guide software changes , 2005, Proceedings. 26th International Conference on Software Engineering.
[55] Andrea De Lucia,et al. How to effectively use topic models for software engineering tasks? An approach based on Genetic Algorithms , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[56] Martin P. Robillard,et al. Automatic generation of suggestions for program investigation , 2005, ESEC/FSE-13.