LLMs and Stack Overflow discussions: reliability, impact, and challenges

Leuson Da Silva, Jordan S. A. M. H. I., Foutse Khomh

Ensemble de données (2025)

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Résumé

Since the release of ChatGPT in November 2022, the landscape of developer Q&A platforms, particularly Stack Overflow, has undergone significant changes. The ability of large language models (LLMs) to generate immediate, human-like responses to technical questions has started discussions on their potential to replace traditional Q&A platforms. This dataset was collected as part of an empirical study analyzing Stack Overflow questions and evaluating responses generated by ChatGPT and LLaMA.

The dataset supports research aimed at:

Assessing the reliability of LLM-generated answers and their potential long-term impact on platforms like Stack Overflow.

Tracking the evolution of user engagement with Stack Overflow post-ChatGPT’s release. Comparing the performance of ChatGPT and LLaMA across different topics.

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Zenodo
Autres DOI associés à ce document:
OAI:
oai:publications.polymtl.ca:64422
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Date du dépôt:
04 avr. 2025 16:54
Dernière modification:
14 oct. 2026 14:25
Citer en APA 7:
Da Silva, L., S. A. M. H. I., J., & Khomh, F. (2025). LLMs and Stack Overflow discussions: reliability, impact, and challenges [Ensemble de données]. Zenodo. https://doi.org/10.5281/zenodo.15086541

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