Papers

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2009
A. Bacchelli, D'Ambros, M., Lanza, M., and Robbes, R., Benchmarking Lightweight Techniques to Link E-Mails and Source Code, in 2009 16th Working Conference on Reverse Engineering, Lille, France, 2009, pp. 205 - 214.PDF icon wcre2009.pdf (720.23 KB)
2010
A. Bacchelli, D'Ambros, M., and Lanza, M., Extracting source code from e-mails, in Proceedings of ICPC 2010 (18th IEEE International Conference on Program Comprehension), 2010, pp. 24-33.PDF icon icpc2010.pdf (1.41 MB)
A. Bacchelli, Lanza, M., and Robbes, R., Linking e-mails and source code artifacts, in Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - ICSE '10, Cape Town, South Africa, 2010, vol. 1, pp. 375-384.
2011
A. Bacchelli, Exploring, exposing, and exploiting emails to include human factors in software engineering, in Companion to the Proceedings of the 33rd International Conference on Software Engineering, New York, NY, USA, 2011, pp. 1074–1077.
2012
A. Bacchelli, Dal Sasso, T., D'Ambros, M., and Lanza, M., Content classification of developer emails, in Proceedings of the 34th IEEE/ACM International Conference On Software Engineering (ICSE 2012), 2012.PDF icon icse2012.pdf (661.43 KB)
2014
M. Beller, Bacchelli, A., Zaidman, A., and Juergens, E., Modern Code Reviews in Open-source Projects: Which Problems Do They Fix?, in Proceedings of the 11th Working Conference on Mining Software Repositories, New York, NY, USA, 2014, pp. 202–211.PDF icon beller.pdf (370.45 KB)
2015
A. A. Sawant and Bacchelli, A., A Dataset For API Usage, 12th Working Conference on Mining Software Repositories (MSR 2015). IEEE, 2015.PDF icon msr2015data.pdf (161.27 KB)
V. J. Hellendoorn, Devanbu, P. T., and Bacchelli, A., Will they like this? Evaluating Code Contributions With Language Models, 12th Working Conference on Mining Software Repositories (MSR 2015). IEEE, 2015.PDF icon msr2015.pdf (395.86 KB)
2017
L. Pascarella and Bacchelli, A., Classifying code comments in Java open-source software systems, 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR). pp. 227-237, 2017.