Risk Management Technology of Software Project Sustainability in Fuzzy Conditions

The paper deals with the task of managing the risk sustainability of project development processes in software engineering. We study the formalization of approaches to reduce the risks of the quality of the processes of a software project and the formation of the principles of risk-based project sustainability in the face of uncertainty in the input data. An approach based on the theory of fuzzy sets, fuzzy logic and flow optimization in a directed network is proposed. The developed technique makes the analysis and quantitative assessment of risk events based on the vector of limiting indicators and allows to ensure the risk sustainability of a software project according to quality criteria. The advantage of the developed approach is the possibility of balancing the requirements for the content, time and cost of the project, which affect the quality of the development process and the final product.