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  • 2017

    Classifying Code Comments in Java Open-Source Software Systems

    Pascarella, L. & Bacchelli, A., 2017, Proceedings - 2017 IEEE/ACM 14th International Conference on Mining Software Repositories, MSR 2017. Los Alamitos, CA: IEEE , p. 227-237 11 p. 7962372

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    32 Citations (Scopus)
    304 Downloads (Pure)
  • 2018

    A Graph-based Dataset of Commit History of Real-World Android apps

    Geiger, F-X., Malavolta, I., Pascarella, L., Palomba, F., Di Nucci, D. & Bacchelli, A., 2018, Proceedings of the 15th International Conference on Mining Software Repositories, MSR. ACM, New York, NY. New York, NY: Association for Computing Machinery (ACM), p. 30-33 4 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    19 Citations (Scopus)
    168 Downloads (Pure)
  • Classifying code comments in Java Mobile Applications

    Pascarella, L., 2018, Conference on Mobile Software Engineering and Systems. p. 39-40 2 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    2 Citations (Scopus)
    125 Downloads (Pure)
  • How Is Video Game Development Different from Software Development in Open Source?

    Pascarella, L., Palomba, F., Di Penta, M. & Bacchelli, A., 2018, Proceedings of the 15th International Conference on Mining Software Repositories, MSR. ACM, New York, NY. p. 392-402 11 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
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    13 Citations (Scopus)
    96 Downloads (Pure)
  • Investigating Type Declaration Mismatches in Python

    Pascarella, L., Ram, A., Nadeem, A., Bisesser, D., Knyazev, N. & Bacchelli, A., 2018, 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE). Piscataway, NJ: IEEE , p. 43-48 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
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    1 Citation (Scopus)
    37 Downloads (Pure)
  • Re-evaluating Method-Level Bug Prediction

    Pascarella, L., Palomba, F. & Bacchelli, A., 2018, 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018. Piscataway, NJ: IEEE , p. 1-10 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    9 Citations (Scopus)
    25 Downloads (Pure)
  • Self-Reported Activities of Android Developers

    Pascarella, L., Geiger, F-X., Palomba, F., Di Nucci, D., Malavolta, I. & Bacchelli, A., 2018, 5th IEEE/ACM International Conference on Mobile Software Engineering and Systems. ACM, New York, NY, to appear. ACM/IEEE, p. 144-155

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
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    13 Citations (Scopus)
    225 Downloads (Pure)
  • 2019

    Healthcare Android apps: A tale of the customers’ perspective

    Nicolai, M., Pascarella, L., Palomba, F. & Bacchelli, A., 2019, WAMA 2019: Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics. Sarro, F. & Nayebi, M. (eds.). New York: Association for Computing Machinery (ACM), p. 33-39 7 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    3 Citations (Scopus)
  • 2021

    Logging Practices with Mobile Analytics: An Empirical Study on Firebase

    Harty, J., Zhang, H., Wei, L., Pascarella, L., Aniche, M. & Shang, W., 2021, 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft). O'Conner, L. (ed.). Piscataway: IEEE , 5 p. 9460930

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
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    4 Downloads (Pure)