Mapping Process Mining Techniques to Agile Software Development Perspectives

Cyrine Feres, Sonia Ghannouchi, Ricardo Martinho

2023

Abstract

Agile Software Development (ASD) processes have surfaced as an effective alternative for more efficient software project management. They concentrate on a set of informal best practices instead of a standardised process, making it difficult to determine the degree of real implementation in an organization. Process Mining (PM) can play a key role in such analysis by discovering the software development process model followed in a certain set of software projects, and by analysing event logs that report the projects’ executed tasks. These discovered processes can then be compared to standardised ASD methods such as Scrum and eXtreme Programming (XP), and improved accordingly. Motivated by this, we present in this paper a literature review revealing the state of the art of Process Mining and its usage in ASD processes, but under a correlation between the three main research areas of PM (discovery, conformance, and enhancement), and the main ASD process perspectives including organisational/team, control-flow, quality, time, cost & risk, and data. We then analyse and discuss the results of this review quantitatively and qualitatively and prospect future opportunities for research accordingly.

Paper Citation

in Harvard Style

Feres C., Ghannouchi S. and Martinho R. (2023). Mapping Process Mining Techniques to Agile Software Development Perspectives. In Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-647-7, SciTePress, pages 428-435. DOI: 10.5220/0011850500003464

in Bibtex Style

@conference{enase23,
author={Cyrine Feres and Sonia Ghannouchi and Ricardo Martinho},
title={Mapping Process Mining Techniques to Agile Software Development Perspectives},
booktitle={Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2023},
pages={428-435},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011850500003464},
isbn={978-989-758-647-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Mapping Process Mining Techniques to Agile Software Development Perspectives
SN - 978-989-758-647-7
AU - Feres C.
AU - Ghannouchi S.
AU - Martinho R.
PY - 2023
SP - 428
EP - 435
DO - 10.5220/0011850500003464
PB - SciTePress