Sarah Fakhoury

Orcid: 0000-0002-8486-7749

Affiliations:
  • Microsoft Research, Redmond, WA, USA
  • Washington State University, Pullman, WA, USA (former)


According to our database1, Sarah Fakhoury authored at least 22 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation.
IEEE Trans. Software Eng., September, 2024

Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
Proc. ACM Softw. Eng., 2024

DiffSpec: Differential Testing with LLMs using Natural Language Specifications and Code Artifacts.
CoRR, 2024

Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming.
CoRR, 2024

3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers.
CoRR, 2024

Exploring the Effectiveness of LLM based Test-driven Interactive Code Generation: User Study and Empirical Evaluation.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

NL2Fix: Generating Functionally Correct Code Edits from Bug Descriptions.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023
Formalizing Natural Language Intent into Program Specifications via Large Language Models.
CoRR, 2023

Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions.
CoRR, 2023

Ranking LLM-Generated Loop Invariants for Program Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Program merge conflict resolution via neural transformers.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021
MergeBERT: Program Merge Conflict Resolution via Neural Transformers.
CoRR, 2021

Reassessing automatic evaluation metrics for code summarization tasks.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

gazel: Supporting Source Code Edits in Eye-Tracking Studies.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

2020
Measuring the impact of lexical and structural inconsistencies on developers' cognitive load during bug localization.
Empir. Softw. Eng., 2020

A Model to Detect Readability Improvements in Incremental Changes.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

VITALSE: visualizing eye tracking and biometric data.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2019
Improving source code readability: theory and practice.
Proceedings of the 27th International Conference on Program Comprehension, 2019

2018
Keep it simple: Is deep learning good for linguistic smell detection?
Proceedings of the 25th International Conference on Software Analysis, 2018

Moving towards objective measures of program comprehension.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Automatic classification of software artifacts in open-source applications.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

The effect of poor source code lexicon and readability on developers' cognitive load.
Proceedings of the 26th Conference on Program Comprehension, 2018


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