Research output per year
Research output per year
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Dive into the research topics where L. Pascarella is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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 , p. 56-60 5 p. 9460930Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile16 Downloads (Pure) -
Augmented Fine-Grained Defect Prediction for Code Review
Pascarella, L., 2020, 177 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile244 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
5 Citations (Scopus) -
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 AccessFile14 Citations (Scopus)118 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
Open AccessFile49 Citations (Scopus)30 Downloads (Pure)
Datasets
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Classifying code comments in Java Mobile Applications
Pascarella, L. (Creator), TU Delft - 4TU.ResearchData, 16 Mar 2020
DOI: 10.4121/UUID:97F5FC68-0C48-4EA6-B357-184F5B6809C9
Dataset/Software: Dataset
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Classifying code comments in Java open-source software systems
Pascarella, L. (Creator), TU Delft - 4TU.ResearchData, 16 Mar 2020
DOI: 10.4121/UUID:232D15BF-CE75-48F5-8A2C-E8E809B8333E
Dataset/Software: Dataset