DIAGNOSTIC SOFTWARE PROJECT AS COMPLEX TECHNICAL SYSTEMS USING INTELLIGENT METHODS
In this article the development of intelligent diagnostic methods for a software project as a complex technical system based on ontological models is described. An approach to the development of decision-making methods and algorithms under conditions of uncertainty is proposed, based on the application of methods for extracting and formalizing knowledge about the states of complex technical systems and technological processes based on ontological analysis. It allows to increase the validity, efficiency and quality of diagnosis of complex technical systems.