Publications

ZORA Publication List

Publications

• 2018

  • Pascarella, L., Palomba, F., & Bacchelli, A. (2018). Re-evaluating method-level bug prediction 592–601. https://doi.org/10.1109/SANER.2018.8330264
  • Pascarella, L., Ram, A., Nadeem, A., Bisesser, D., Knyazev, N., & Bacchelli, A. (2018). Investigating type declaration mismatches in Python 43–48. https://doi.org/10.1109/MALTESQUE.2018.8368458
  • Pascarella, L., Spadini, D., Palomba, F., Bruntink, M., & Bacchelli, A. (2018). Information Needs in Contemporary Code Review Proceedings of the ACM on Human-Computer Interaction, 2, 135. https://doi.org/10.1145/3274404

• 2017

  • Baum, T., Schneider, K., & Bacchelli, A. (2017). On the Optimal Order of Reading Source Code Changes for Review 329–340. https://doi.org/10.1109/ICSME.2017.28
  • Bacchelli, A., & Beller, M. (2017). Double-Blind Review in Software Engineering Venues: The Community’s Perspective. 385–396. https://doi.org/10.1109/ICSE-C.2017.49
  • Juchli, M., Krombeen, L., Rao, S., Yu, C. S., Sawant, A. A., & Bacchelli, A. (2017). Mining Motivated Trends of Usage of Haskell Libraries 11–14. https://doi.org/10.1109/WAPI.2017.6
  • Spadini, D., Aniche, M., Bruntink, M., & Bacchelli, A. (2017). To Mock or Not to Mock? An Empirical Study on Mocking Practices 402–412. https://doi.org/10.1109/MSR.2017.61
  • Pascarella, L., & Bacchelli, A. (2017). Classifying Code Comments in Java Open-Source Software Systems 227–237. https://doi.org/10.1109/MSR.2017.63
  • Seeber, M., & Bacchelli, A. (2017). Does single blind peer review hinder newcomers? Scientometrics, 113, 567–585. https://doi.org/10.1007/s11192-017-2264-7
  • Sawant, A. A., & Bacchelli, A. (2017). fine-GRAPE: fine-grained APi usage extractor – an approach and dataset to investigate API usage Empirical Software Engineering, 22, 1348–1371. https://doi.org/10.1007/s10664-016-9444-6

• 2016

  • Oosterwaal, S., van Deursen, A., Coelho, R., Sawant, A. A., & Bacchelli, A. (2016). Visualizing code and coverage changes for code review 1038–1041. https://doi.org/10.1145/2950290.2983929
  • Sawant, A. A., Robbes, R., & Bacchelli, A. (2016). On the Reaction to Deprecation of 25,357 Clients of 4+1 Popular Java APIs 400–410. https://doi.org/10.1109/ICSME.2016.64
  • di Biase, M., Bruntink, M., & Bacchelli, A. (2016). A Security Perspective on Code Review: The Case of Chromium 21–30. https://doi.org/10.1109/SCAM.2016.30
  • Aue, J., Haisma, M., Tomasdottir, K. F., & Bacchelli, A. (2016). Social Diversity and Growth Levels of Open Source Software Projects on GitHub 1–6. https://doi.org/10.1145/2961111.2962633
  • Panichella, A., Alexandru, C. V., Panichella, S., Bacchelli, A., & Gall, H. C. (2016). A search-based training algorithm for cost-aware defect prediction Proceedings of the Genetic and Evolutionary Computation Conference, 1077–1084. https://doi.org/10.1145/2908812.2908938
  • Ray, B., Hellendoorn, V., Godhane, S., Tu, Z., Bacchelli, A., & Devanbu, P. (2016). On the “naturalness” of buggy code. 428–439. https://doi.org/10.1145/2884781.2884848
  • Gousios, G., Storey, M.-A., & Bacchelli, A. (2016). Work practices and challenges in pull-based development the contributor’s perspective. Proceedings of the International Conference on Software Engineering, 285–296. https://doi.org/10.1145/2884781.2884826

• 2013

  • Bacchelli, A., & Bird, C. (2013). Expectations, outcomes, and challenges of modern code review 712–721. https://doi.org/10.1109/ICSE.2013.6606617

Pagination