Marco Castelluccio

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Predicting the Impact of Crashes Across Release Channels.

Suhaib Mujahid, Diego Elias Costa, Marco Castelluccio

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.

Carolin E. Brandt, Marco Castelluccio, Christian Holler, Jason Kratzer, Andy Zaidman, Alberto Bacchelli

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.

João Lucas Correia, Morgan C. Nicholson, Daniel Coutinho, Caio Barbosa, Marco Castelluccio, Marco Aurélio Gerosa, Alessandro F. Garcia, Igor Steinmacher

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.

Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio

Empir. Softw. Eng., 2022

SZZ in the time of Pull Requests.

Fernando Petrulio, David Ackermann, Enrico Fregnan, Gül Çalikli, Marco Castelluccio, Sylvestre Ledru, Calixte Denizet, Emma Humphries, Alberto Bacchelli

CoRR, 2022

2020

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

Luca Ardito, Luca Barbato, Marco Castelluccio, Riccardo Coppola, Calixte Denizet, Sylvestre Ledru, Michele Valsesia

SoftwareX, 2020

Why are Some Bugs Non-Reproducible? : -An Empirical Investigation using Data Fusion-.

Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019

An empirical study of patch uplift in rapid release development pipelines.

Marco Castelluccio, Le An, Foutse Khomh

Empir. Softw. Eng., 2019

An empirical study of DLL injection bugs in the Firefox ecosystem.

Le An, Marco Castelluccio, Foutse Khomh

Empir. Softw. Eng., 2019

Understanding flaky tests: the developer's perspective.

Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli

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.

Marco Castelluccio

PhD thesis, 2018

What makes a code change easier to review: an empirical investigation on code change reviewability.

Achyudh Ram, Anand Ashok Sawant, Marco Castelluccio, Alberto Bacchelli

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.

Le An, Foutse Khomh, Shane McIntosh, Marco Castelluccio

Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017

Automatically analyzing groups of crashes for finding correlations.

Marco Castelluccio, Carlo Sansone, Luisa Verdoliva, Giovanni Poggi

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Training convolutional neural networks for semantic classification of remote sensing imagery.

Marco Castelluccio, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva

Proceedings of the Joint Urban Remote Sensing Event, 2017

Is it Safe to Uplift this Patch?: An Empirical Study on Mozilla Firefox.

Marco Castelluccio, Le An, Foutse Khomh

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.

Marco Castelluccio, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva

CoRR, 2015