Analysis of the Relationship Between a Person’s Manifestations in Social Networks and His Psychological Portrait of Personality Using Machine Learning Methods

This paper presents the research, design and integration of tools and methods for information interaction of subsystems in a system for searching for vulnerabilities in application software. The overall goal of the WRC was to analyze and develop ways of interacting processes for checking code vulnerabilities through their automation. The developed solution was supposed to automate the process of checking code vulnerabilities, reduce labor intensity and establish a sequence of code checks, as well as increase their speed and increase the coverage of programs by checks. The object of the study is to search for vulnerabilities in code in C, C++, Java, Python. The subject of the study is the automation of the process of searching for vulnerabilities. In the process of work, a study of existing practices, methods and tools of static analysis was carried out, the limitations of existing DevOps practices were identified and the concept of a layout was proposed that implements the area of integration of components and their static analysis with subsequent deployment in the release area, a role model of static analysis was formulated and the participation of the service was worked out security in verifying the results of searching for vulnerabilities. The developed layout was implemented and tested using the developed methodology on real data on several platforms.