PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4-Reference-Cited by-同舟云学术

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PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4

Published:2024-04-14 Issue: Volume:2 Page:108-118
ISSN:
Container-title:Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering
language:
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Author:

Abukhalaf Seif¹^ORCID,Hamdaqa Mohammad¹^ORCID,Khomh Foutse²^ORCID

Affiliation:

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

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

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3650105.3652290

Reference27 articles.

1. On Codex Prompt Engineering for OCL Generation: An Empirical Study

2. Paul Ammann and Jeff Offutt. 2018. Introduction to software testing. 10.1017/9781316771273

3. The Object Constraint Language Second Edition, Getting Your Models Ready for MDA, by Jos Warmer and Anneke Kleppe;Ashbacher Charles;The Journal of Object Technology,2003

4. OCL Constraints Generation from Natural Language Specification

5. Combining OCL and natural language

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