Marco Castelluccio

Orcid: 0000-0002-3285-5121

According to our database1, Marco Castelluccio authored at least 17 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Predicting the Impact of Crashes Across Release Channels.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Mind the Gap: What Working With Developers on Fuzz Tests Taught Us About Coverage Gaps.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

Unveiling the Potential of a Conversational Agent in Developer Support: Insights from Mozilla's PDF.js Project.
Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2022
Works for Me! Cannot Reproduce - A Large Scale Empirical Study of Non-reproducible Bugs.
Empir. Softw. Eng., 2022

SZZ in the time of Pull Requests.
CoRR, 2022

2020
rust-code-analysis: A Rust library to analyze and extract maintainability information from source codes.
SoftwareX, 2020

Why are Some Bugs Non-Reproducible? : -An Empirical Investigation using Data Fusion-.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019
An empirical study of patch uplift in rapid release development pipelines.
Empir. Softw. Eng., 2019

An empirical study of DLL injection bugs in the Firefox ecosystem.
Empir. Softw. Eng., 2019

Understanding flaky tests: the developer's perspective.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

2018
Improving software engineering processes using machine learning and data mining techniques.
PhD thesis, 2018

What makes a code change easier to review: an empirical investigation on code change reviewability.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017
Automatically analyzing groups of crashes for finding correlations.
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Training convolutional neural networks for semantic classification of remote sensing imagery.
Proceedings of the Joint Urban Remote Sensing Event, 2017

Is it Safe to Uplift this Patch?: An Empirical Study on Mozilla Firefox.
Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

2015
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks.
CoRR, 2015


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