програмний комплекс

SOFTWARE COMPLEXES' SUPPORT TEAMS AUTOMATED FORMATION METHOD BASED ON CANDIDATES' POLYFACTOR PORTRAITS ANALYSIS

The research is devoted to the investigation of scientific and applied problems of software complexes’/products’ comprehensive support automation and intellectualization. The main scientific and applied problem solved in this research is the task of ensuring an automation (with simultaneously increasing of intellectualization level) of the processes of software complexes’ support teams formation based on preliminary processing and further analysis of polyfactor portraits of available candidates.

SUBJECTIVE PERCEPTION MODEL OF SOFTWARE COMPLEXES SUPPORT OBJECT WITH THE ENCAPSULATION OF A MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORKS

The object of research in this article – is the process of subjective perception of supported software complexes or their support processes by relevant human entities directly or indirectly interacting with these supported software complexes. Subjective perception model of the software complexes support object with the possibility of encapsulation of artificial neural networks, in particular – a multilayer perceptron, has been developed.

Analysis of Software Complexes Support Automation Impact Factors with Usage of Colored Petri Nets

Model based on colored Petri nets, and dedicated for analysis an impact factors of the software complexes support automation processes, has been developed. Model provides possibilities for simulation of the processes of impact factors analysis in the field of software complexes support automation when solving the scientific and applied task of analyzing and restoring the boundaries of impact factors in supported objects subjective perception models with encapsulated artificial neural networks of multilayer perceptron type.