| Computer-aided detection of Melanoma using geometric features R Moussa, F Gerges, C Salem, R Akiki, O Falou, D Azar 2016 3rd Middle East Conference on Biomedical Engineering (MECBME), 125-128, 2016 | 44 | 2016 |
| A PSO-GA approach targeting fault-prone software modules R Moussa, D Azar Journal of Systems and Software 132, 41-49, 2017 | 36 | 2017 |
| A versatile dataset of agile open source software projects V Tawosi, A Al-Subaihin, R Moussa, F Sarro Proceedings of the 19th International Conference on Mining Software …, 2022 | 23 | 2022 |
| On the use of evaluation measures for defect prediction studies R Moussa, F Sarro Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 22 | 2022 |
| Learning from mistakes: Machine learning enhanced human expert effort estimates F Sarro, R Moussa, A Petrozziello, M Harman IEEE Transactions on Software Engineering 48 (6), 1868-1882, 2020 | 19 | 2020 |
| A comparative study of nine machine learning techniques used for the prediction of diseases D Azar, R Moussa, G Jreij International Journal of Artificial Intelligence 16 (2), 25-40, 2018 | 18 | 2018 |
| Multi-objective search for gender-fair and semantically correct word embeddings M Hort, R Moussa, F Sarro Applied Soft Computing 133, 109916, 2023 | 13 | 2023 |
| Deep Learning for Agile Effort Estimation Have We Solved the Problem Yet V Tawosi, R Moussa, F Sarro arXiv preprint arXiv:2201.05401, 2022 | 11 | 2022 |
| Agile effort estimation: Have we solved the problem yet? Insights from a replication study V Tawosi, R Moussa, F Sarro IEEE Transactions on Software Engineering 49 (4), 2677-2697, 2022 | 9 | 2022 |
| Meg: Multi-objective ensemble generation for software defect prediction R Moussa, G Guizzo, F Sarro Proceedings of the 16th ACM/IEEE International Symposium on Empirical …, 2022 | 9 | 2022 |
| A genetic algorithm for the maximum clique problem R Moussa, R Akiki, H Harmanani 16th International Conference on Information Technology-New Generations …, 2019 | 6 | 2019 |
| Stableyolo: Optimizing image generation for large language models H Berger, A Dakhama, Z Ding, K Even-Mendoza, D Kelly, H Menendez, ... International Symposium on Search Based Software Engineering, 133-139, 2023 | 5 | 2023 |
| Evaluating explanations for software patches generated by large language models D Sobania, A Geiger, J Callan, A Brownlee, C Hanna, R Moussa, ... International Symposium on Search Based Software Engineering, 147-152, 2023 | 4 | 2023 |
| On the relationship between story points and development effort in Agile open-source software V Tawosi, R Moussa, F Sarro Proceedings of the 16th ACM/IEEE International Symposium on Empirical …, 2022 | 4 | 2022 |
| Investigating the use of one-class support vector machine for software defect prediction R Moussa, D Azar, F Sarro dostupno na: https://arxiv. org/abs/2202.12074, 2022 | 4 | 2022 |
| Do Not Take It for Granted: Comparing Open-Source Libraries for Software Development Effort Estimation R Moussa, F Sarro arXiv preprint arXiv:2207.01705, 2022 | 3 | 2022 |
| Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23) M Hort, R Moussa, F Sarro Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 1 | 2023 |
| Agile effort estimation: Have we solved the problem yet? Insights from a second replication study (GPT2SP replication report) V Tawosi, R Moussa, F Sarro arXiv preprint arXiv:2209.00437, 2022 | 1 | 2022 |
| On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios R Moussa, D Azar, F Sarro 2024 IEEE International Conference on Software Analysis, Evolution and …, 2024 | | 2024 |
| Agile Effort Estimation: Have We Solved the Problem Yet? Insights From the Replication of the GPT2SP Study V Tawosi, R Moussa, F Sarro 2024 IEEE International Conference on Software Analysis, Evolution and …, 2024 | | 2024 |
Federica SarroProfessor, University College LondonVerified email at ucl.ac.uk
