Building a Decision Landscape Model for Software Development: From Empirical Insights to Formal Theory

Hannes Salin

2025

Abstract

Value stream mapping is a well known method for identifying waste and bottlenecks in production processes. It is also used in the software engineering context, to map value streams of different processes in software development. By regarding decision-making processes as value streams, we can describe and further analyze decision-making flows in an organization for optimization such as reduced lead times or decision making efficiency. Using empirical data from three different software development organizations in Sweden, we develop a formal model to describe decision-making flows in a software development organizational context, in a compact and systematic syntax. Our formal model can thus be used for analyzing decision-making flows and support management in better understanding how decisions are made within their organizations.

Paper Citation

in Harvard Style

Salin H. (2025). Building a Decision Landscape Model for Software Development: From Empirical Insights to Formal Theory. In Proceedings of the 20th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-757-3, SciTePress, pages 15-26. DOI: 10.5220/0013457300003964

in Bibtex Style

@conference{icsoft25,
author={Hannes Salin},
title={Building a Decision Landscape Model for Software Development: From Empirical Insights to Formal Theory},
booktitle={Proceedings of the 20th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2025},
pages={15-26},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013457300003964},
isbn={978-989-758-757-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Building a Decision Landscape Model for Software Development: From Empirical Insights to Formal Theory
SN - 978-989-758-757-3
AU - Salin H.
PY - 2025
SP - 15
EP - 26
DO - 10.5220/0013457300003964
PB - SciTePress