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Rebecca Moussa
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2020 – today
- 2024
- [c10]Rebecca Moussa, Danielle Azar, Federica Sarro:
On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios. SANER 2024: 535-545 - [c9]Vali Tawosi, Rebecca Moussa, Federica Sarro:
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From the Replication of the GPT2SP Study. SANER 2024: 1034-1041 - 2023
- [j4]Max Hort, Rebecca Moussa, Federica Sarro:
Multi-objective search for gender-fair and semantically correct word embeddings. Appl. Soft Comput. 133: 109916 (2023) - [j3]Vali Tawosi, Rebecca Moussa, Federica Sarro:
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From a Replication Study. IEEE Trans. Software Eng. 49(4): 2677-2697 (2023) - [c8]Max Hort, Rebecca Moussa, Federica Sarro:
Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23). GECCO Companion 2023: 23-24 - [c7]Rebecca Moussa, Giovani Guizzo, Federica Sarro:
MEG: Multi-objective Ensemble Generation for Software Defect Prediction (HOP GECCO'23). GECCO Companion 2023: 37-38 - [c6]Harel Berger, Aidan Dakhama, Zishuo Ding, Karine Even-Mendoza, David A. Kelly, Héctor D. Menéndez, Rebecca Moussa, Federica Sarro:
StableYolo: Optimizing Image Generation for Large Language Models. SSBSE 2023: 133-139 - [c5]Dominik Sobania, Alina Geiger, James Callan, Alexander E. I. Brownlee, Carol Hanna, Rebecca Moussa, Mar Zamorano López, Justyna Petke, Federica Sarro:
Evaluating Explanations for Software Patches Generated by Large Language Models. SSBSE 2023: 147-152 - 2022
- [j2]Federica Sarro, Rebecca Moussa, Alessio Petrozziello, Mark Harman:
Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates. IEEE Trans. Software Eng. 48(6): 1868-1882 (2022) - [c4]Rebecca Moussa, Giovani Guizzo, Federica Sarro:
MEG: Multi-objective Ensemble Generation for Software Defect Prediction. ESEM 2022: 159-170 - [c3]Vali Tawosi, Rebecca Moussa, Federica Sarro:
On the Relationship Between Story Points and Development Effort in Agile Open-Source Software. ESEM 2022: 183-194 - [c2]Rebecca Moussa, Federica Sarro:
On the use of evaluation measures for defect prediction studies. ISSTA 2022: 101-113 - [c1]Vali Tawosi, Afnan A. Al-Subaihin, Rebecca Moussa, Federica Sarro:
A Versatile Dataset of Agile Open Source Software Projects. MSR 2022: 707-711 - [i5]Vali Tawosi, Rebecca Moussa, Federica Sarro:
Deep Learning for Agile Effort Estimation Have We Solved the Problem Yet? CoRR abs/2201.05401 (2022) - [i4]Vali Tawosi, Afnan A. Al-Subaihin, Rebecca Moussa, Federica Sarro:
A Versatile Dataset of Agile Open Source Software Projects. CoRR abs/2202.00979 (2022) - [i3]Rebecca Moussa, Danielle Azar, Federica Sarro:
Investigating the Use of One-Class Support Vector Machine for Software Defect Prediction. CoRR abs/2202.12074 (2022) - [i2]Rebecca Moussa, Federica Sarro:
Do Not Take It for Granted: Comparing Open-Source Libraries for Software Development Effort Estimation. CoRR abs/2207.01705 (2022) - [i1]Vali Tawosi, Rebecca Moussa, Federica Sarro:
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Second Replication Study (GPT2SP Replication Report). CoRR abs/2209.00437 (2022)
2010 – 2019
- 2017
- [j1]Rebecca Moussa, Danielle Azar:
A PSO-GA approach targeting fault-prone software modules. J. Syst. Softw. 132: 41-49 (2017)
Coauthor Index
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