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ORCIDSarah Fakhoury
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- affiliation: Washington State University, Pullman, WA, USA
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2020 – today
- 2024
[j3]Madeline Endres
, Sarah Fakhoury, Saikat Chakraborty, Shuvendu K. Lahiri:
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions? Proc. ACM Softw. Eng. 1(FSE): 1889-1912 (2024)- [j2]Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu K. Lahiri:
LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation. IEEE Trans. Software Eng. 50(9): 2254-2268 (2024) - [c13]Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Madan Musuvathi, Shuvendu K. Lahiri:
Exploring the Effectiveness of LLM based Test-driven Interactive Code Generation: User Study and Empirical Evaluation. ICSE Companion 2024: 390-391 - [c12]Sarah Fakhoury, Saikat Chakraborty, Madanlal Musuvathi, Shuvendu K. Lahiri:
NL2Fix: Generating Functionally Correct Code Edits from Bug Descriptions. ICSE Companion 2024: 410-411 - [i8]Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu K. Lahiri:
LLM-based Test-driven Interactive Code Generation: User Study and Empirical Evaluation. CoRR abs/2404.10100 (2024) - [i7]Sarah Fakhoury, Markus Kuppe, Shuvendu K. Lahiri, Tahina Ramananandro, Nikhil Swamy:
3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers. CoRR abs/2404.10362 (2024) - [i6]Saikat Chakraborty, Gabriel Ebner, Siddharth Bhat, Sarah Fakhoury, Sakina Fatima, Shuvendu K. Lahiri, Nikhil Swamy:
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming. CoRR abs/2405.01787 (2024) - 2023
- [c11]Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Akash Lal, Madanlal Musuvathi, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy:
Ranking LLM-Generated Loop Invariants for Program Verification. EMNLP (Findings) 2023: 9164-9175 - [i5]Sarah Fakhoury, Saikat Chakraborty, Madan Musuvathi, Shuvendu K. Lahiri:
Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions. CoRR abs/2304.03816 (2023) - [i4]Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu K. Lahiri:
Formalizing Natural Language Intent into Program Specifications via Large Language Models. CoRR abs/2310.01831 (2023) - [i3]Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Madanlal Musuvathi, Akash Lal, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy:
Ranking LLM-Generated Loop Invariants for Program Verification. CoRR abs/2310.09342 (2023) - 2022
- [c10]Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Elizabeth Dinella, Christian Bird, Jinu Jang, Neel Sundaresan, Shuvendu K. Lahiri:
Program merge conflict resolution via neural transformers. ESEC/SIGSOFT FSE 2022: 822-833 - 2021
- [c9]Sarah Fakhoury, Devjeet Roy, Harry Pines, Tyler Cleveland, Cole S. Peterson, Venera Arnaoudova, Bonita Sharif, Jonathan I. Maletic:
gazel: Supporting Source Code Edits in Eye-Tracking Studies. ICSE (Companion Volume) 2021: 69-72 - [c8]Devjeet Roy, Sarah Fakhoury, Venera Arnaoudova:
Reassessing automatic evaluation metrics for code summarization tasks. ESEC/SIGSOFT FSE 2021: 1105-1116 - [i2]Sarah Fakhoury, Devjeet Roy, Harry Pines, Tyler Cleveland, Cole S. Peterson, Venera Arnaoudova, Bonita Sharif, Jonathan I. Maletic:
gazel: Supporting Source Code Edits in Eye-Tracking Studies. CoRR abs/2106.10563 (2021) - [i1]Alexey Svyatkovskiy, Todd Mytkowicz, Negar Ghorbani, Sarah Fakhoury, Elizabeth Dinella, Christian Bird, Neel Sundaresan, Shuvendu K. Lahiri:
MergeBERT: Program Merge Conflict Resolution via Neural Transformers. CoRR abs/2109.00084 (2021) - 2020
- [j1]Sarah Fakhoury, Devjeet Roy, Yuzhan Ma, Venera Arnaoudova, Olusola O. Adesope:
Measuring the impact of lexical and structural inconsistencies on developers' cognitive load during bug localization. Empir. Softw. Eng. 25(3): 2140-2178 (2020) - [c7]Devjeet Roy, Sarah Fakhoury, Venera Arnaoudova:
VITALSE: visualizing eye tracking and biometric data. ICSE (Companion Volume) 2020: 57-60 - [c6]Devjeet Roy, Sarah Fakhoury, John Lee, Venera Arnaoudova:
A Model to Detect Readability Improvements in Incremental Changes. ICPC 2020: 25-36
2010 – 2019
- 2019
- [c5]Sarah Fakhoury, Devjeet Roy, Sk Adnan Hassan, Venera Arnaoudova:
Improving source code readability: theory and practice. ICPC 2019: 2-12 - 2018
- [c4]Sarah Fakhoury, Yuzhan Ma, Venera Arnaoudova, Olusola O. Adesope:
The effect of poor source code lexicon and readability on developers' cognitive load. ICPC 2018: 286-296 - [c3]Yuzhan Ma, Sarah Fakhoury, Michael Christensen, Venera Arnaoudova, Waleed Zogaan, Mehdi Mirakhorli:
Automatic classification of software artifacts in open-source applications. MSR 2018: 414-425 - [c2]Sarah Fakhoury:
Moving towards objective measures of program comprehension. ESEC/SIGSOFT FSE 2018: 936-939 - [c1]Sarah Fakhoury, Venera Arnaoudova, Cedric Noiseux, Foutse Khomh, Giuliano Antoniol:
Keep it simple: Is deep learning good for linguistic smell detection? SANER 2018: 602-611
Coauthor Index
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