Applying Forensic Analysis Factors to Construct a Systems Dynamics Model for Failed Software Projects

Date
2022-01-04
Authors
Kaisler, Stephen
Money, William
Cohen, Stephen
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Abstract
Forensic analysis of failed software projects can aid in managerial understanding of the issues and challenges of delivering a successful project. The factors and their interrelationships causing software project failure are not well understood or researched with a strong forensic-analytic approach. Previous papers have not adequately explored how dynamic interaction of multiple factors can lead to critical events that ultimately portend eventual failure. This paper proposes the development of a System Dynamics (SD) model that will represent the key factors, their dynamic interactions, and the influence of exogenous events in causing software project failure. Forensic data will be used as inputs to the SD model to assist managers in understanding the factor interactions, the importance of individual factor metrics, as well as the sequence of interactions in causing possible software project failure. Outcomes from the model will include a likelihood of software project failure, possible factor sequences leading to failure, and suggestions of remediation activities that might mitigate eventual failure.
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Big Data and Analytics: Pathways to Maturity, forensic analysis, modeling failure, project failure, system dynamics
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