Luca Pascarella

Orcid: 0000-0001-8289-7736

According to our database1, Luca Pascarella authored at least 38 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Log statements generation via deep learning: Widening the support provided to developers.
J. Syst. Softw., April, 2024

Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors.
CoRR, 2024

Towards Summarizing Code Snippets Using Pre-Trained Transformers.
CoRR, 2024

2023
A comprehensive evaluation of SZZ Variants through a developer-informed oracle.
J. Syst. Softw., August, 2023

Automated variable renaming: are we there yet?
Empir. Softw. Eng., March, 2023

On the Empirical Evidence of Microservice Logical Coupling. A Registered Report.
CoRR, 2023

Breaks and Code Quality: Investigating the Impact of Forgetting on Software Development. A Registered Report.
CoRR, 2023

Grayscale and Event-Based Sensor Fusion for Robust Steering Prediction for Self-Driving Cars.
Proceedings of the IEEE Sensors Applications Symposium, 2023

The NLBSE'23 Tool Competition.
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

Automating Code-Related Tasks Through Transformers: The Impact of Pre-training.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Source Code Recommender Systems: The Practitioners' Perspective.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Microservice Logical Coupling: A Preliminary Validation.
Proceedings of the 20th International Conference on Software Architecture, 2023

2022
An Empirical Study on the Usage of Transformer Models for Code Completion.
IEEE Trans. Software Eng., 2022

To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set?
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Using Reinforcement Learning for Load Testing of Video Games.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Using Pre-Trained Models to Boost Code Review Automation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Using Deep Learning to Generate Complete Log Statements.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction.
Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

2021
An Empirical Study on the Usage of BERT Models for Code Completion.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Logging Practices with Mobile Analytics: An Empirical Study on Firebase.
Proceedings of the 8th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2021

An Empirical Study on Code Comment Completion.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Towards Automating Code Review Activities.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Evaluating SZZ Implementations Through a Developer-informed Oracle.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Augmented Fine-Grained Defect Prediction for Code Review.
PhD thesis, 2020

On the performance of method-level bug prediction: A negative result.
J. Syst. Softw., 2020

2019
Fine-grained just-in-time defect prediction.
J. Syst. Softw., 2019

Classifying code comments in Java software systems.
Empir. Softw. Eng., 2019

On The Effect Of Code Review On Code Smells.
CoRR, 2019

Healthcare Android apps: a tale of the customers' perspective.
Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics, 2019

2018
Information Needs in Contemporary Code Review.
Proc. ACM Hum. Comput. Interact., 2018

Investigating type declaration mismatches in Python.
Proceedings of the 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, 2018

Re-evaluating method-level bug prediction.
Proceedings of the 25th International Conference on Software Analysis, 2018

How is video game development different from software development in open source?
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

A graph-based dataset of commit history of real-world Android apps.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Self-reported activities of Android developers.
Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

Classifying code comments in Java mobile applications.
Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

2017
Classifying code comments in Java open-source software systems.
Proceedings of the 14th International Conference on Mining Software Repositories, 2017


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