Land Use Classification in Remote Sensing Images by Convolutional Neural Networks. - Marco Castelluccio; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (CoRR, 2015)

Is it Safe to Uplift this Patch?: An Empirical Study on Mozilla Firefox. - Marco Castelluccio; Le An; Foutse Khomh (ICSME, 2017)

Training convolutional neural networks for semantic classification of remote sensing imagery. - Marco Castelluccio; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (JURSE, 2017)

Automatically analyzing groups of crashes for finding correlations. - Marco Castelluccio; Carlo Sansone; Luisa Verdoliva; Giovanni Poggi (ESEC/SIGSOFT FSE, 2017)

Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox. - Le An; Foutse Khomh; Shane McIntosh; Marco Castelluccio (APSEC, 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 (ESEC/SIGSOFT FSE, 2018)

Improving software engineering processes using machine learning and data mining techniques. - Marco Castelluccio (2018)

Understanding flaky tests: the developer's perspective. - Moritz Eck; Fabio Palomba; Marco Castelluccio; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2019)

An empirical study of DLL injection bugs in the Firefox ecosystem. - Le An; Marco Castelluccio; Foutse Khomh (Empir. Softw. Eng., 2019)

An empirical study of patch uplift in rapid release development pipelines. - Marco Castelluccio; Le An; Foutse Khomh (Empir. Softw. Eng., 2019)

Why are Some Bugs Non-Reproducible? : -An Empirical Investigation using Data Fusion-. - Mohammad Masudur Rahman 001; Foutse Khomh; Marco Castelluccio (ICSME, 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)

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)

Works for Me! Cannot Reproduce - A Large Scale Empirical Study of Non-reproducible Bugs. - Mohammad Masudur Rahman 001; Foutse Khomh; Marco Castelluccio (Empir. Softw. Eng., 2022)

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 001; Igor Steinmacher (AIware, 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 (ICSE-SEIP, 2024)

Predicting the Impact of Crashes Across Release Channels. - Suhaib Mujahid; Diego Elias Costa; Marco Castelluccio (MSR, 2024)

Impact of LLM-based Review Comment Generation in Practice: A Mixed Open-/Closed-source User Study. - Doriane Olewicki; Léuson M. P. da Silva; Suhaib Mujahid; Arezou Amini; Benjamin Mah; Marco Castelluccio; Sarra Habchi; Foutse Khomh; Bram Adams (CoRR, 2024)

RESHAPELab/DevMentorAI-PDF.js-replication: camera-ready. - João Lucas Correia; Morgan C. Nicholson; Daniel Coutinho; Caio Barbosa; Marco Castelluccio; Marco Aurélio Gerosa; Alessandro Garcia 001; Igor Steinmacher (Zenodo, 2024)

A Dataset of Performance Measurements and Alerts from Mozilla (Data Artifact). - Mohamed Bilel Besbes; Diego Elias Costa; Suhaib Mujahid; Gregory W. Mierzwinski; Marco Castelluccio (ICPE (Companion), 2025)