випробування

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.

Success in today’s business depends on the constant implementation of change and the desire to improve. In order to make the right management decision, it is necessary to have up-to-date information about the state and trends of the enterprise’s development. At the same time, the amount of information that needs to be analyzed to choose the best course of action, taking into account all possible consequences and risks, is steadily growing.

The research is aimed at developing a test survey for the effective selection of specialists in the IT field, based on the use of modern machine learning methods, particularly cluster analysis using the k- means method. Given the limited access to existing testing platforms, which are typically available only to large companies on a paid basis, the decision was made to create an alternative web application. This application will become an accessible tool for a wider range of users and will allow automating the process of evaluating candidates' skills.

Проаналізовано основні аспекти побудови засобів тестування знань користувачів та наведено особливості проектування системи тестування знань на основі технології клієнт/сервер.

The article analyzes the main aspects of construction and testing of knowledge of users are testing the design features of knowledge-based technology client / server.

Здійснено класифікацію відомих програмних засобів тестування знань, наведено основні модулі розробленої системи iLaT.

The article makes a classification of known software testing knowledge, are the main modules of the developed system iLaT.

The next industrial revolution commonly known as Industry 4.0 represents the idea of interconnected manufacturing, where intelligent devices, systems and processes exchange information, resources and artifacts to optimize the complete value-added chain and to reduce costs and time-to- market. Industrial software ecosystems are a good example how the latest digitalization trends are applied in the industry domain and how with the help of industrial IoT applications the production process can be optimized.

It is important to carry out metrological confirmation of the used measuring equipment in order to obtain reliable measurement results during the conformity assessment of products. Assessment of the metrological confirmation of the measuring equipment confirms its conformity with the given measuring task. For proper performance of this task it is necessary to have an appropriate measurement  technique.

Purpose. The purpose of research - the creation of effective systems for monitoring and quality control of copper-bearing ores and their products at the stages of mining and processing of nonferrous metallurgy flagship redistribution of Kazakhstan on "Zhezkazgan» "Kazakhmys Corporation" due to the wide use of modern nuclear-geophysical technology testing tools and hardware and analysis of ores and industrial products of their processing in which problems are solved highly effective environmental monitoring. Methods.