UDC 004
METHODOLOGY OF SOFTWARE PROJECT PROCESSES STABILITY TO RISKS IN FUZZY CONDITIONS
V. G. Psoyants, leading programmer, CNIT, RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.
We consider the problem of risk management of the processes to develop software engineering project sustainability. The aim of the work is the formalization of approaches to reduce project processes quality risks and the formation of the principles of project stability risk in the conditions of uncertainty of input data. An approach based on the theory of fuzzy sets (FS), fuzzy logic and streaming optimization directional network is offered. The developed method performs the analysis and quantification of risk events based on vector-limiting performance and ensures the stability of risky software project quality criteria. The advantage of the developed approach is the possibility of balancing the requirements for the content, the time and cost of the project, which affect the quality of development process and final product.
Key words: risk stability, software project, quality criteria, network flow, data-flow optimization, fuzzy network model, fuzzy graph.