On Codex Prompt Engineering for OCL Generation: An Empirical Study-Reference-Cited by-同舟云学术

On Codex Prompt Engineering for OCL Generation: An Empirical Study

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)
language:
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Author:

Abukhalaf Seif¹,Hamdaqa Mohammad¹,Khomh Foutse²

Affiliation:

1. Polytechnique Montréal,Software and Emerging Technologies Lab (SAET),Department of Computer and Software Engineering,Montréal,Canada

2. Polytechnique Montréal,SoftWare Analytics and Technologies Lab (SWAT),Department of Computer and Software Engineering,Montréal,Canada

Funder

Canadian Institute for Advanced Research

Science and Engineering Research Council

Publisher

IEEE

Link

Reference29 articles.

5. Synchromesh: Reliable code generation from pre-trained language models;poesia,2022

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2. Systematic Literature Review of Prompt Engineering Patterns in Software Engineering;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

3. PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4;Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering;2024-04-14