Moscow, Russian Federation
graduate student
Moscow, Russian Federation
2.9.8
004.896
336.7
Purpose: AI-driven functional testing of the critical information infrastructure such as a railway ticket booking and sales system is considered in order to increase the efficiency, reliability and speed of testing, as well as to reduce costs and risks associated with potential system failures. Methods: analyzing the potential of artificial intelligence methods for improving functional test technologies. Results: it is proposed to use artificial intelligence methods in constructing optimal tests and selecting test strategies, as well as in failure prediction in the automated ticket booking and sales system. Practical significance: increased functional test efficiency of critical information infrastructure systems of railway transport.
functional testing, artificial intelligence, railway transport, critical information infrastructures, digital technologies
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