Evaluating LLM-Generated Code: Developer Study

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Authors: Joanna Szych
Cited by: 0

Abstract

Research artefact for a paper on LLM code generation evaluation (anonymised for peer review). It contains empirical data gathered during the quality evaluation of code generated by Large Language Models for project-level code assignment. The dataset includes: PDF file with an overview of the structure of the survey CSV with anonymous results gathered from 10 developers PDF files with a summary of gathered results Markdown file with description of the questions The dataset enables reproduction of findings reported in the paper and can be reused for future LLM evaluations.

Fields of Study & Subjects

Software Engineering Research Software Engineering Techniques and Practices Software Testing and Debugging Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 February 2026
Language
EN
Document type
Dataset