@inproceedings{75b98cc986f84b169146f2fecd331045,
title = "Evidence-based decision making in lean software project management",
abstract = "Many professions evolve from their origins as a creative craft process to a more product-centered industrial process. Software development is on such an evolutionary trajectory. A major step in this evolution is the progression from ad hoc to more rigorous evidence-based decision-making in software development project management. This paper extends theory and practice in relation to lean software development using such an evidence-based approach. Based on a comprehensive dataset of software development metrics, gathered in a longitudinal case study over a 22-month period, the Erlang-C model is used to analyze different software development parameters and to guide management decision-making in relation to development resources. The analysis reveals how 'gut-feel' and intuition can be replaced by evidence-based decision-making, and reveals how incorrect assumptions can underpin decisions which as a consequence do not achieve the desired outcome.",
keywords = "Agile, Case study, Empirical study, Erlang-C model, Evidence-based decision making, Kanban, Lean",
author = "Brian Fitzgerald and Mariusz Musia{\l} and Stol, {Klaas Jan}",
year = "2014",
doi = "10.1145/2591062.2591190",
language = "English",
isbn = "9781450327688",
series = "36th International Conference on Software Engineering, ICSE Companion 2014 - Proceedings",
publisher = "Association for Computing Machinery",
pages = "93--102",
booktitle = "36th International Conference on Software Engineering, ICSE Companion 2014 - Proceedings",
note = "36th International Conference on Software Engineering, ICSE 2014 ; Conference date: 31-05-2014 Through 07-06-2014",
}