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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 research focuses on creating software for an interactive map that displays the air environment based on data collected from a distributed system of acoustic sensors. This development aims to enhance Ukraine's defense capabilities in wartime and opens prospects for further research in this field. The map allows operators to analyze information about the movement of air targets in real time, which is important for making quick and informed decisions in the field of defense and security.

The work is devoted to solving the scientific and applied problem  of positioning objects of software’s complex support within the existing polyfactorial multi-subject support environment. An Archimedes spiral-based model has been developed for the multifactor positioning of objects of (software’s complex support), which provides the possibility of solving the declared scientific and applied problem.

The article explores the methodology for creating technical documentation in software development projects, taking into account the principles of Agile and DevOps. It proposes formal approaches for building a document system as an integrated part of the IT project life cycle. The study examines the stages of transforming user stories into structured documents, the role of security templates, prototyping, and source code as inputs for generating specifications.

Within the scope of current research, the scientific and applied problem of balancing multisubject polyfactorial environments of software products’ complex support was considered, in the context of a more global scientific and applied problem of automation and intellectualization of the complex support of software products, as well as a human-machine interaction. The relevant object of research in this work – is the process of balancing multisubject polyfactorial environments of software products’ complex support.

Nowadays, with the rapid development of modern technologies in software engineering, active digitalization, and the migration of many services online, ensuring the security of these services in terms of integrity, confidentiality, and availability of information has become more important than ever. The level of application security directly depends on investments made in security during software development.

A review of publications devoted to the mathematical simulation of the nanofiltration process was carried out, the advantages, limitations, and areas of application of various modeling approaches were determined. It was found that the most effective approaches are based on the extended Nernst-Planck equation, Donnan equilibrium, as well as methods of computational fluid dynamics and molecular dynamics. The use of software for solving nanofiltration simulation problems was considered.

In the modern world, where information security becomes a key element of any organization's operations, software security testing automation is more important than ever. The success of an application directly depends on its stability, reliability, and security, which makes the proper implementation of control mechanisms critical. The increase in cyber threats and the growing complexity of software systems make this topic even more relevant.

The article analyses the literature sources, which investigate the existing methods and means of calculating reliability indicators of complex technical (in particular, software) systems. The reliability model of a modern complex technical system is often depicted in the form of a reliability block diagram (RBD), which may contain thousands of elements, each transitioning between different states (e.g., operational, failed, restored). This leads to a vast space of possible states in the corresponding Markov model.