Integrating Process Mining and Success Factors in Information Systems Projects: A Decision Support System Approach

Joana Pedrosa, Luís Magalhães, Ricardo Martinho

2025

Abstract

The management of Information Systems (IS) projects involves addressing complex challenges such as communication issues, resource allocation, time constraints, customer interaction and evolving requirements. A project manager faces, therefore, a significant number of decisions on the progress of these projects, based on the most important Success Factors (SF) that each project encloses. As far as we are aware, there is currently no automated solution capable of effectively tackling these challenges, forcing managers to depend on conventional approaches that often prove insufficient to provide the necessary support. This paper proposes an architecture for a Decision Support System (DSS) designed to enhance project success by providing project managers with recommendations. The DSS integrates Process Mining techniques with SF to suggest valuable insights for decision-making. The system proposed aims to optimize project decisional outcomes and can combine algorithms from Process Mining, Data Mining, and Predictive Mining to enhance its recommendations.

Paper Citation

in Harvard Style

Pedrosa J., Magalhães L. and Martinho R. (2025). Integrating Process Mining and Success Factors in Information Systems Projects: A Decision Support System Approach. 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 723-730. DOI: 10.5220/0013433500003928

in Bibtex Style

@conference{enase25,
author={Joana Pedrosa and Luís Magalhães and Ricardo Martinho},
title={Integrating Process Mining and Success Factors in Information Systems Projects: A Decision Support System Approach},
booktitle={Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2025},
pages={723-730},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013433500003928},
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 - Integrating Process Mining and Success Factors in Information Systems Projects: A Decision Support System Approach
SN - 978-989-758-742-9
AU - Pedrosa J.
AU - Magalhães L.
AU - Martinho R.
PY - 2025
SP - 723
EP - 730
DO - 10.5220/0013433500003928
PB - SciTePress