Applying Forensic Analysis Factors to Construct a Systems Dynamics Model for Failed Software Projects Kaisler, Stephen Money, William Cohen, Stephen 2021-12-24T17:27:03Z 2021-12-24T17:27:03Z 2022-01-04
dc.description.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.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.145
dc.identifier.isbn 978-0-9981331-5-7
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Big Data and Analytics: Pathways to Maturity
dc.subject forensic analysis
dc.subject modeling failure
dc.subject project failure
dc.subject system dynamics
dc.title Applying Forensic Analysis Factors to Construct a Systems Dynamics Model for Failed Software Projects
dc.type.dcmi text
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