Data-Driven Personas for Software Engineering Research

Jefferson Molléri, Bogdan Marculescu

2025

Abstract

This paper presents a proof-of-concept on creating data-driven personas for software engineering research using Stack Overflow survey data. We developed three archetypes to illustrate how quantitative data can inform research scenarios. The process involved addressing challenges such as interpreting quantitative data, balancing detail and applicability, ensuring realism, and iterative refinement. The work emphasizes personas as a flexible, human-centered tool that addresses methodological issues in SE research.

Paper Citation

in Harvard Style

Molléri J. and Marculescu B. (2025). Data-Driven Personas for Software Engineering Research. In Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE; ISBN 978-989-758-742-9, SciTePress, pages 798-805. DOI: 10.5220/0013475100003928

in Bibtex Style

@conference{enase25,
author={Jefferson Molléri and Bogdan Marculescu},
title={Data-Driven Personas for Software Engineering Research},
booktitle={Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2025},
pages={798-805},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013475100003928},
isbn={978-989-758-742-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE
TI - Data-Driven Personas for Software Engineering Research
SN - 978-989-758-742-9
AU - Molléri J.
AU - Marculescu B.
PY - 2025
SP - 798
EP - 805
DO - 10.5220/0013475100003928
PB - SciTePress