Using Large Language Models to Enhance Programming Error Messages-Reference-Cited by-同舟云学术

Using Large Language Models to Enhance Programming Error Messages

Published:2023-03-02 Issue: Volume: Page:
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Container-title:Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1
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Author:

Leinonen Juho¹^ORCID,Hellas Arto¹^ORCID,Sarsa Sami¹^ORCID,Reeves Brent²^ORCID,Denny Paul³^ORCID,Prather James²^ORCID,Becker Brett A.⁴^ORCID

Affiliation:

1. Aalto University, Espoo, Finland

2. Abilene Christian University, Abilene, TX, USA

3. The University of Auckland, Auckland, New Zealand

4. University College Dublin, Dublin, Ireland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3545945.3569770

Reference38 articles.

1. Toufique Ahmed , Noah Rose Ledesma, and Premkumar Devanbu . 2021 . SYNFIX : Automatically Fixing Syntax Errors using Compiler Diagnostics . arXiv preprint arXiv:2104.14671 (2021). Toufique Ahmed, Noah Rose Ledesma, and Premkumar Devanbu. 2021. SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics. arXiv preprint arXiv:2104.14671 (2021).

2. Compilation error repair

3. Titus Barik . 2018. Error Messages as Rational Reconstructions. Ph.,D. Dissertation . North Carolina State University . Titus Barik. 2018. Error Messages as Rational Reconstructions. Ph.,D. Dissertation. North Carolina State University.

4. Do Developers Read Compiler Error Messages?

5. An Effective Approach to Enhancing Compiler Error Messages

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