intelligent systems

The article discusses the problem of instability of test selectors in the process of automated testing of web applications. It raises the issue of selectors’ adaptability to changes in the DOM structure, which is critically important in the development of modern dynamic web interfaces. A comparative analysis of three approaches to selector generation is conducted: manual (via Chrome DevTools), semi-automated (using DevTools), and automated using graph neural networks (GNN).

The authors consider the features of multi-agent modeling for traffic optimization in the central areas of cities. While evaluating the unique challenges associated with the high concentration of vehicles, pedestrians and historical buildings, the potential of multi-agent systems to effectively solve the problem of congestion, safety and quality of life in urban areas is investigated. The potential of multi-agent modeling in the context of traffic management in the central areas of the city allows us to identify the key challenges and opportunities.

An intelligent system for sightseeing tour was developed. Using the results of sightseeing tours analysis the knowledge base was created for advisory program tool for tour route selection and real-time tracking. An analysis of recent researches in data mining of tourist spatial movement was made. Program tools for data collection, processing and analysis of movement and tourist expenditures during the sightseeing tour were developed.