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2020 – today
- 2024
[c10]João Lucas Correia
, Morgan C. Nicholson, Daniel Coutinho, Caio Barbosa, Marco Castelluccio, Marco Aurélio Gerosa, Alessandro F. Garcia, Igor Steinmacher:
Unveiling the Potential of a Conversational Agent in Developer Support: Insights from Mozilla's PDF.js Project. AIware 2024- [c9]Carolin E. Brandt, Marco Castelluccio, Christian Holler, Jason Kratzer, Andy Zaidman, Alberto Bacchelli:
Mind the Gap: What Working With Developers on Fuzz Tests Taught Us About Coverage Gaps. ICSE-SEIP 2024: 157-167 - [c8]Suhaib Mujahid, Diego Elias Costa, Marco Castelluccio:
Predicting the Impact of Crashes Across Release Channels. MSR 2024: 138-139 - [i6]Suhaib Mujahid, Diego Elias Costa, Marco Castelluccio:
Predicting the Impact of Crashes Across Release Channels. CoRR abs/2401.13667 (2024) - 2022
- [j4]Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio:
Works for Me! Cannot Reproduce - A Large Scale Empirical Study of Non-reproducible Bugs. Empir. Softw. Eng. 27(5): 111 (2022) - [i5]Fernando Petrulio, David Ackermann, Enrico Fregnan, Gül Çalikli, Marco Castelluccio, Sylvestre Ledru, Calixte Denizet, Emma Humphries, Alberto Bacchelli:
SZZ in the time of Pull Requests. CoRR abs/2209.03311 (2022) - 2021
- [i4]Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio:
Why are Some Bugs Non-Reproducible? An Empirical Investigation using Data Fusion. CoRR abs/2108.05316 (2021) - 2020
- [j3]Luca Ardito, Luca Barbato, Marco Castelluccio, Riccardo Coppola, Calixte Denizet, Sylvestre Ledru, Michele Valsesia:
rust-code-analysis: A Rust library to analyze and extract maintainability information from source codes. SoftwareX 12: 100635 (2020) - [c7]Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio:
Why are Some Bugs Non-Reproducible? : -An Empirical Investigation using Data Fusion-. ICSME 2020: 605-616
2010 – 2019
- 2019
- [j2]Le An, Marco Castelluccio, Foutse Khomh:
An empirical study of DLL injection bugs in the Firefox ecosystem. Empir. Softw. Eng. 24(4): 1799-1822 (2019) - [j1]Marco Castelluccio, Le An, Foutse Khomh:
An empirical study of patch uplift in rapid release development pipelines. Empir. Softw. Eng. 24(5): 3008-3044 (2019) - [c6]Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli:
Understanding flaky tests: the developer's perspective. ESEC/SIGSOFT FSE 2019: 830-840 - [i3]Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli:
Understanding Flaky Tests: The Developer's Perspective. CoRR abs/1907.01466 (2019) - 2018
- [b1]Marco Castelluccio:
Improving software engineering processes using machine learning and data mining techniques. University of Naples Federico II, Italy, 2018 - [c5]Le An, Foutse Khomh, Shane McIntosh, Marco Castelluccio:
Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox. APSEC 2018: 396-405 - [c4]Achyudh Ram, Anand Ashok Sawant, Marco Castelluccio, Alberto Bacchelli:
What makes a code change easier to review: an empirical investigation on code change reviewability. ESEC/SIGSOFT FSE 2018: 201-212 - 2017
- [c3]Marco Castelluccio, Le An, Foutse Khomh:
Is it Safe to Uplift this Patch?: An Empirical Study on Mozilla Firefox. ICSME 2017: 411-421 - [c2]Marco Castelluccio, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Training convolutional neural networks for semantic classification of remote sensing imagery. JURSE 2017: 1-4 - [c1]Marco Castelluccio, Carlo Sansone, Luisa Verdoliva, Giovanni Poggi:
Automatically analyzing groups of crashes for finding correlations. ESEC/SIGSOFT FSE 2017: 717-726 - [i2]Marco Castelluccio, Le An, Foutse Khomh:
Is It Safe to Uplift This Patch? An Empirical Study on Mozilla Firefox. CoRR abs/1709.08852 (2017) - 2015
- [i1]Marco Castelluccio, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks. CoRR abs/1508.00092 (2015)
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last updated on 2024-12-10 21:42 CET by the dblp team
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