Land use classification in remote sensing images by convolutional neural networks M Castelluccio, G Poggi, C Sansone, L Verdoliva arXiv preprint arXiv:1508.00092, 2015 | 787 | 2015 |
Understanding flaky tests: The developer’s perspective M Eck, F Palomba, M Castelluccio, A Bacchelli Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 150 | 2019 |
What makes a code change easier to review: an empirical investigation on code change reviewability A Ram, AA Sawant, M Castelluccio, A Bacchelli Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 49 | 2018 |
Automatically analyzing groups of crashes for finding correlations M Castelluccio, C Sansone, L Verdoliva, G Poggi Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017 | 26 | 2017 |
Training convolutional neural networks for semantic classification of remote sensing imagery M Castelluccio, G Poggi, C Sansone, L Verdoliva 2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017 | 23 | 2017 |
An empirical study of patch uplift in rapid release development pipelines M Castelluccio, L An, F Khomh Empirical Software Engineering 24, 3008-3044, 2019 | 19 | 2019 |
Why are some bugs non-reproducible?:–an empirical investigation using data fusion– MM Rahman, F Khomh, M Castelluccio 2020 IEEE international conference on software maintenance and evolution …, 2020 | 18 | 2020 |
Land use classification in remote sensing images by convolutional neural networks, 2015 M Castelluccio, G Poggi, C Sansone, L Verdoliva arXiv preprint arXiv:1508.00092, 0 | 16 | |
rust-code-analysis: A rust library to analyze and extract maintainability information from source codes L Ardito, L Barbato, M Castelluccio, R Coppola, C Denizet, S Ledru, ... SoftwareX 12, 100635, 2020 | 14 | 2020 |
SZZ in the time of pull requests F Petrulio, D Ackermann, E Fregnan, G Calikli, M Castelluccio, S Ledru, ... arXiv preprint arXiv:2209.03311, 2022 | 7 | 2022 |
Is it safe to uplift this patch?: An empirical study on mozilla firefox M Castelluccio, L An, F Khomh 2017 IEEE international conference on software maintenance and evolution …, 2017 | 7 | 2017 |
An empirical study of dll injection bugs in the firefox ecosystem L An, M Castelluccio, F Khomh Empirical Software Engineering 24, 1799-1822, 2019 | 5 | 2019 |
Land use classification. n M Castelluccio, G Poggi, C Sansone, L Verdoliva Remote Sensing Images by Convolutional Neural Networks, 0 | 5 | |
Works for me! cannot reproduce–a large scale empirical study of non-reproducible bugs MM Rahman, F Khomh, M Castelluccio Empirical Software Engineering 27 (5), 111, 2022 | 4 | 2022 |
Why did this reviewed code crash? An empirical study of mozilla firefox L An, F Khomh, S Mcintosh, M Castelluccio 2018 25th Asia-Pacific Software Engineering Conference (APSEC), 396-405, 2018 | 3 | 2018 |
Mind the Gap: What Working With Developers on Fuzz Tests Taught Us About Coverage Gaps C Brandt, M Castelluccio, C Holler, J Kratzer, A Zaidman, A Bacchelli Proceedings of the International Conference on Software Engineering-Software …, 2024 | 2 | 2024 |
Data and Material for “What Makes A Code Change Easier To Review?” A Ram, AA Sawant, M Castelluccio, A Bacchelli | 2 | 2018 |
What Makes a Code Change Easier to Review A Ram, AA Sawant, M Castelluccio, A Bacchelli An Empirical Investigation on Code Change Reviewability. ESEC/FSE. DOI …, 2018 | 2 | 2018 |
Predicting the Impact of Crashes Across Release Channels S Mujahid, DE Costa, M Castelluccio arXiv preprint arXiv:2401.13667, 2024 | | 2024 |
Why are Some Bugs Non-Reproducible? An Empirical Investigation using Data Fusion M Masudur Rahman, F Khomh, M Castelluccio arXiv e-prints, arXiv: 2108.05316, 2021 | | 2021 |