Development of a subsystem to use Bayesian networks in a decision support system for software development management
DOI: 10.21293/1818-0442-2022-25-3-52-56
Abstract: Bayesian networks are currently a popular tool for solving various problems, including creating decision support systems. This paper proposes a tool for creating a Bayesian network and direct probabilistic inference. The specificity of the problem consists in working with large networks (more than 1000 nodes) with a large number of parent nodes at one node (15 or more). The tool is integrated with Redmine and allows you to calculate the probability of a manager's error when determining the current state of the project.
Keywords: bayesian network, semat, essence, graph dbms
Authors and copyright holders:
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For citation:
Zmeev D. O., Zmeev O. A., Ivanova L. S., Freydin V. I. Development of a subsystem to use Bayesian networks in a decision support system for software development management. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2022, vol. 25, no. 3, pp. 52–56. DOI: 10.21293/1818-0442-2022-25-3-52-56
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