Replication Dataset for the Study on Technical Debt in GenAI-Enabled Software Projects

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Yağmur Kara, Tugba Taskaya Temizel, Özden Özcan‐Top, Diana Kapiyasheva
DOI: 10.5281/zenodo.18434491
Cited by: 0

Abstract

This dataset supports a research study investigating technical debt in GenAI-enabled software projects. It includes the final taxonomy comprising main categories, first- and second-level sub-categories, and illustrative technical debt symptoms. The dataset also provides participant demographics (N=18), project-related information, company-level details, and participants’ self-reported technical debt awareness levels. Certain sensitive information has been intentionally omitted to preserve participant confidentiality.

Fields of Study & Subjects

Software Engineering Research Software Engineering Techniques and Practices Advanced Software Engineering Methodologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Document type
Dataset