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Evidence-based decision making in lean software project management
Fitzgerald, Brian; Musial, Mariusz; Stol, Klaas-Jan
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.
Keyword(s): agile; lean; kanban; empirical study; case study; model; evidence-based decision making
Publication Date:
2014
Type: Conference item
Peer-Reviewed: Yes
Language(s): English
Institution: University of Limerick
Funder(s): Science Foundation Ireland
Citation(s): ICSE Companion 2014 Companion Proceedings of the 36th International Conference on Software Engineering;pp. 93-102
http://dx.doi.org/10.1145/2591062.2591190
10/CE.I1855
Publisher(s): Association for Computing Machinery
First Indexed: 2014-08-20 05:37:02 Last Updated: 2015-12-18 05:26:20