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2020 – today
- 2024
[j8]Antonio Mastropaolo
, Valentina Ferrari, Luca Pascarella, Gabriele Bavota:
Log statements generation via deep learning: Widening the support provided to developers. J. Syst. Softw. 210: 111947 (2024)- [c27]Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno:
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. I2MTC 2024: 1-6 - [c26]Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota:
Towards Summarizing Code Snippets Using Pre-Trained Transformers. ICPC 2024: 1-12 - [c25]Rafael Kallis, Giuseppe Colavito, Ali Al-Kaswan, Luca Pascarella, Oscar Chaparro, Pooja Rani:
The NLBSE'24 Tool Competition. NLBSE@ICSE 2024: 33-40 - [i20]Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota:
Towards Summarizing Code Snippets Using Pre-Trained Transformers. CoRR abs/2402.00519 (2024) - [i19]Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno:
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. CoRR abs/2403.11875 (2024) - 2023
- [j7]Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
Automated variable renaming: are we there yet? Empir. Softw. Eng. 28(2): 45 (2023) - [j6]Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
A comprehensive evaluation of SZZ Variants through a developer-informed oracle. J. Syst. Softw. 202: 111729 (2023) - [c24]Dario Amoroso d'Aragona, Luca Pascarella, Andrea Janes, Valentina Lenarduzzi, Davide Taibi:
Microservice Logical Coupling: A Preliminary Validation. ICSA-C 2023: 81-85 - [c23]Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. ICSE 2023: 2149-2160 - [c22]Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
Source Code Recommender Systems: The Practitioners' Perspective. ICSE 2023: 2161-2172 - [c21]Rosalia Tufano, Luca Pascarella, Gabriele Bavota:
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. ICSE 2023: 2425-2437 - [c20]Rafael Kallis, Maliheh Izadi, Luca Pascarella, Oscar Chaparro, Pooja Rani:
The NLBSE'23 Tool Competition. NLBSE@ICSE 2023: 1-8 - [c19]Luca Pascarella, Michele Magno:
Grayscale and Event-Based Sensor Fusion for Robust Steering Prediction for Self-Driving Cars. SAS 2023: 1-6 - [i18]Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. CoRR abs/2302.00438 (2023) - [i17]Rosalia Tufano, Luca Pascarella, Gabriele Bavota:
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. CoRR abs/2302.04048 (2023) - [i16]Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
Source Code Recommender Systems: The Practitioners' Perspective. CoRR abs/2302.04098 (2023) - [i15]Dario Amoroso d'Aragona, Luca Pascarella, Andrea Janes, Valentina Lenarduzzi, Rafael Peñaloza, Davide Taibi:
Breaks and Code Quality: Investigating the Impact of Forgetting on Software Development. A Registered Report. CoRR abs/2305.00760 (2023) - [i14]Dario Amoroso d'Aragona, Luca Pascarella, Andrea Janes, Valentina Lenarduzzi, Rafael Peñaloza, Davide Taibi:
On the Empirical Evidence of Microservice Logical Coupling. A Registered Report. CoRR abs/2306.02036 (2023) - [i13]Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota:
Log Statements Generation via Deep Learning: Widening the Support Provided to Developers. CoRR abs/2311.04587 (2023) - 2022
- [j5]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of Transformer Models for Code Completion. IEEE Trans. Software Eng. 48(12): 4818-4837 (2022) - [c18]Francesco Lomio, Luca Pascarella, Fabio Palomba, Valentina Lenarduzzi:
Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction. SEAA 2022: 270-273 - [c17]Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota:
Using Deep Learning to Generate Complete Log Statements. ICSE 2022: 2279-2290 - [c16]Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota:
Using Pre-Trained Models to Boost Code Review Automation. ICSE 2022: 2291-2302 - [c15]Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota:
Using Reinforcement Learning for Load Testing of Video Games. ICSE 2022: 2303-2314 - [c14]Matteo Ciniselli, Luca Pascarella, Gabriele Bavota:
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? MSR 2022: 167-178 - [d10]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
Replication package for "An Empirical Study on the Usage of Transformer Models for Code Completion". Zenodo, 2022
- [d9]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
Replication package for "An Empirical Study on the Usage of BERT Models for Code Completion". Zenodo, 2022 - [d8]Matteo Ciniselli, Luca Pascarella, Gabriele Bavota:
Replication package for "To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? Zenodo, 2022 - [d7]Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriela Bavota:
Replication Package for: An Empirical Study on Code Comment Completion. Zenodo, 2022 - [d6]Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota:
Replication Package for: Using Deep Learning to Generate Complete Log Statements. Zenodo, 2022 - [i12]Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota:
Using Deep Learning to Generate Complete Log Statements. CoRR abs/2201.04837 (2022) - [i11]Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota:
Using Pre-Trained Models to Boost Code Review Automation. CoRR abs/2201.06850 (2022) - [i10]Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota:
Using Reinforcement Learning for Load Testing of Video Games. CoRR abs/2201.06865 (2022) - [i9]Matteo Ciniselli, Luca Pascarella, Gabriele Bavota:
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? CoRR abs/2204.06894 (2022) - [i8]Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
Automated Variable Renaming: Are We There Yet? CoRR abs/2212.05738 (2022) - 2021
- [c13]Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota:
Towards Automating Code Review Activities. ICSE 2021: 163-174 - [c12]Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
Evaluating SZZ Implementations Through a Developer-informed Oracle. ICSE 2021: 436-447 - [c11]Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
An Empirical Study on Code Comment Completion. ICSME 2021: 159-170 - [c10]Julian Harty, Haonan Zhang, Lili Wei, Luca Pascarella, Maurício Aniche, Weiyi Shang:
Logging Practices with Mobile Analytics: An Empirical Study on Firebase. MOBILESoft@ICSE 2021: 56-60 - [c9]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of BERT Models for Code Completion. MSR 2021: 108-119 - [i7]Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota:
Towards Automating Code Review Activities. CoRR abs/2101.02518 (2021) - [i6]Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
Evaluating SZZ Implementations Through a Developer-informed Oracle. CoRR abs/2102.03300 (2021) - [i5]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of BERT Models for Code Completion. CoRR abs/2103.07115 (2021) - [i4]Julian Harty, Haonan Zhang, Lili Wei, Luca Pascarella, Maurício Aniche, Weiyi Shang:
Logging Practices with Mobile Analytics: An Empirical Study on Firebase. CoRR abs/2104.02513 (2021) - [i3]Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
An Empirical Study on Code Comment Completion. CoRR abs/2107.10544 (2021) - [i2]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of Transformer Models for Code Completion. CoRR abs/2108.01585 (2021) - 2020
- [b1]Luca Pascarella:
Augmented Fine-Grained Defect Prediction for Code Review. Delft University of Technology, Netherlands, 2020 - [j4]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
On the performance of method-level bug prediction: A negative result. J. Syst. Softw. 161 (2020) - [d5]Luca Pascarella, Davide Spadini, Fabio Palomba, Alberto Bacchelli:
Dataset of the paper "Information Needs in Contemporary Code Review". Zenodo, 2020
2010 – 2019
- 2019
- [j3]Luca Pascarella, Magiel Bruntink, Alberto Bacchelli:
Classifying code comments in Java software systems. Empir. Softw. Eng. 24(3): 1499-1537 (2019) - [j2]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Fine-grained just-in-time defect prediction. J. Syst. Softw. 150: 22-36 (2019) - [c8]Mariaclaudia Nicolai, Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Healthcare Android apps: a tale of the customers' perspective. WAMA@ESEC/SIGSOFT FSE 2019: 33-39 - [i1]Luca Pascarella, Davide Spadini, Fabio Palomba, Alberto Bacchelli:
On The Effect Of Code Review On Code Smells. CoRR abs/1912.10098 (2019) - 2018
- [j1]Luca Pascarella, Davide Spadini, Fabio Palomba, Magiel Bruntink, Alberto Bacchelli:
Information Needs in Contemporary Code Review. Proc. ACM Hum. Comput. Interact. 2(CSCW): 135:1-135:27 (2018) - [c7]Luca Pascarella:
Classifying code comments in Java mobile applications. MOBILESoft@ICSE 2018: 39-40 - [c6]Luca Pascarella, Franz-Xaver Geiger, Fabio Palomba, Dario Di Nucci, Ivano Malavolta, Alberto Bacchelli:
Self-reported activities of Android developers. MOBILESoft@ICSE 2018: 144-155 - [c5]Franz-Xaver Geiger, Ivano Malavolta, Luca Pascarella, Fabio Palomba, Dario Di Nucci, Alberto Bacchelli:
A graph-based dataset of commit history of real-world Android apps. MSR 2018: 30-33 - [c4]Luca Pascarella, Fabio Palomba, Massimiliano Di Penta, Alberto Bacchelli:
How is video game development different from software development in open source? MSR 2018: 392-402 - [c3]Luca Pascarella, Achyudh Ram, Azqa Nadeem, Dinesh Bisesser, Norman Knyazev, Alberto Bacchelli:
Investigating type declaration mismatches in Python. MaLTeSQuE 2018: 43-48 - [c2]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Re-evaluating method-level bug prediction. SANER 2018: 592-601 - [d4]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
On the Performance of Method-Level Bug Prediction: A Negative Result. Appendix. Zenodo, 2018 - [d3]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Fine-Grained Just-In-Time Defect Prediction - Appendix. Zenodo, 2018 - [d2]Luca Pascarella, Davide Spadini, Fabio Palomba, Magiel Bruntink, Alberto Bacchelli:
Information Needs in Contemporary Code Review - Appendix. Zenodo, 2018 - [d1]Luca Pascarella, Davide Spadini, Fabio Palomba, Magiel Bruntink, Alberto Bacchelli:
Information Needs in Contemporary Code Review - Appendix. Zenodo, 2018 - 2017
- [c1]Luca Pascarella, Alberto Bacchelli:
Classifying code comments in Java open-source software systems. MSR 2017: 227-237
Coauthor Index
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last updated on 2024-10-13 17:59 CEST by the dblp team
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