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L. Pascarella

 https://orcid.org/0000-0001-8289-7736
20172020

Research output per year

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Research Output

  • 8 Conference contribution
  • 4 Article
  • 1 Dissertation (TU Delft)

Augmented Fine-Grained Defect Prediction for Code Review

Pascarella, L., 2020, 177 p.

Research output: Thesis › Dissertation (TU Delft)

Open Access
File
    • 5 Downloads (Pure)

    On the performance of method-level bug prediction: A negative result

    Pascarella, L., Palomba, F. & Bacchelli, A., 2020, In : Journal of Systems and Software. 161, p. 1-15 15 p., 110493.

    Research output: Contribution to journal › Article › Scientific › peer-review

    • Classifying code comments in Java software systems

    Pascarella, L., Bruntink, M. & Bacchelli, A., 2019, In : Empirical Software Engineering. 24, 3, p. 1499-1537 39 p.

    Research output: Contribution to journal › Article › Scientific › peer-review

    Open Access
    File
    • 5 Citations (Scopus)
    70 Downloads (Pure)

    Fine-grained just-in-time defect prediction

    Pascarella, L., Palomba, F. & Bacchelli, A., 2019, In : Journal of Systems and Software. 150, p. 22-36 15 p.

    Research output: Contribution to journal › Article › Scientific › peer-review

    • 8 Citations (Scopus)

    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 volume › Conference contribution › Scientific › peer-review

    • Datasets

    Classifying code comments in Java Mobile Applications

    Pascarella, L. (Creator), TU Delft - 4TU Centre for research data, 2020

    DOI: 10.4121/UUID:97F5FC68-0C48-4EA6-B357-184F5B6809C9

    Dataset

    Classifying code comments in Java open-source software systems

    Pascarella, L. (Creator), TU Delft - 4TU Centre for research data, 2020

    DOI: 10.4121/UUID:232D15BF-CE75-48F5-8A2C-E8E809B8333E

    Dataset