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Sarah Fakhoury
Sarah Fakhoury
Postdoctoral Researcher, Microsoft Research
Geverifieerd e-mailadres voor microsoft.com - Homepage
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The Effect of Poor Source Code Lexicon and Readability on Developers' Cognitive Load
S Fakhoury, Y Ma, V Arnaoudova, O Adesope
International Conference on Program Comprehension (ICPC), 2018
1282018
Improving Source Code Readability: Theory and Practice
S Fakhoury, D Roy, A Hassan, V Arnaoudova
International Conference on Program Comprehension, 2-12, 2019
63*2019
Reassessing Automatic Evaluation Metrics for Code Summarization Tasks
D Roy, S Fakhoury, V Arnaoudova
Joint European Software Engineering Conference and Symposium on the …, 2021
602021
Keep It Simple: Is Deep Learning Good for Linguistic Smell Detection?
S Fakhoury, V Arnaoudova, C Noiseux, F Khomh, G Antoniol
Proceedings of the International Conference on Software Analysis, Evolution …, 2018
522018
Automatic Classification of Software Artifacts in Open-Source Applications
Y Ma, S Fakhoury, M Christensen, V Arnaoudova, W Zogaan, M Mirakhorli
Proceedings of the Working Conference on Mining Software Repositories (MSR), 2018
44*2018
Measuring the Impact of Lexical and Structural Inconsistencies on Developers’ Cognitive Load During Bug Localization
S Fakhoury, D Roy, Y Ma, V Arnaoudova, O Adesope
Empirical Software Engineering 8, 2019
42*2019
Interactive code generation via test-driven user-intent formalization
SK Lahiri, A Naik, G Sakkas, P Choudhury, C von Veh, M Musuvathi, ...
arXiv preprint arXiv:2208.05950, 2022
312022
Moving Towards Objective Measures of Program Comprehension
S Fakhoury
Proceedings of the 26th ACM Joint European Software Engineering Conference …, 2018
152018
Program Merge Conflict Resolution via Neural Transformers
A Svyatkovskiy, S Fakhoury, N Ghorbani, T Mytkowicz, E Dinella, C Bird, ...
Joint European Software Engineering Conference and Symposium on the …, 2022
142022
A Model to Detect Readability Improvements in Incremental Changes
D Roy, S Fakhoury, J Lee, V Arnaoudova
International Conference on Program Comprehension (ICPC), 2020
132020
The effect of poor source code lexicon and readability on developers’ cognitive load. In 2018 IEEE/ACM 26th International Conference on Program Comprehension (ICPC)
S Fakhoury, Y Ma, V Arnaoudova, O Adesope
IEEE, 286ś28610, 2018
132018
Gazel: Supporting Source Code Edits in Eye-Tracking Studies
S Fakhoury, D Roy, H Pines, T Cleveland, C Person, V Arnaoudova, ...
International Conference on Software Engineering (ICSE), 2021
11*2021
Towards generating functionally correct code edits from natural language issue descriptions
S Fakhoury, S Chakraborty, M Musuvathi, SK Lahiri
arXiv preprint arXiv:2304.03816, 2023
102023
MergeBERT: Program Merge Conflict Resolution via Neural Transformers
A Svyatkovskiy, T Mytkowicz, N Ghorbani, S Fakhoury, E Dinella, C Bird, ...
https://arxiv.org/abs/2109.00084, 2021
82021
Ranking LLM-Generated Loop Invariants for Program Verification
S Chakraborty, SK Lahiri, S Fakhoury, M Musuvathi, A Lal, A Rastogi, ...
EMNLP, 2023
62023
VITALSE: Visualizing Eye Tracking and Biometric Data
D Roy, S Fakhoury, V Arnaoudova
International Conference on Software Engineering (ICSE), 2020
52020
Models, Metrics, and Minds: Empirical Perspectives on Developer Productivity
S Fakhoury
Washington State University, 2022
12022
Exploring the Effectiveness of LLM based Test-driven Interactive Code Generation: User Study and Empirical Evaluation
S Fakhoury, A Naik, G Sakkas, S Chakraborty, M Musuvathi, S Lahiri
International Conference on Software Engineering (ICSE): Companion Proceedings, 2024
2024
Interactive Code Generation via Test-Driven User-Intent Formalization
SK Lahiri, S Fakhoury, A Naik, G Sakkas, S Chakraborty, M Musuvathi, ...
https://arxiv.org/pdf/2208.05950.pdf, 2023
2023
Formalizing Natural Language Intent into Program Specifications via Large Language Models
M Endres, S Fakhoury, S Chakraborty, SK Lahiri
https://arxiv.org/abs/2310.01831, 2023
2023
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Artikelen 1–20