This article identifies the primary advantages of automating the testing processes of medical applications, significantly enhancing their reliability and safety. Special attention is given to methodologies such as Total Quality Management and Plan-Do-Check-Act, as well as the application of mobile technologies in healthcare, which contribute to error minimization and improved treatment quality. The article describes a multi-stage study, including an analysis of scientific publications, experimental testing using automation tools, and statistical data processing. The study also examined the importance ranking of various quality criteria identified during the evaluation of different medical applications. The results demonstrate significant improvements in diagnostic accuracy and patient satisfaction through the use of electronic medical records and feedback systems. This article will be particularly valuable to healthcare professionals and software developers, including quality engineers and developers of medical applications, as well as researchers studying the impact of technologies on the medical industry. This work serves as a valuable resource for those aiming to enhance the quality and safety of medical services through innovative automation methods. 

Efficient energy management on ferry ships is critical to reducing operational costs and promoting sustainability. This study introduces a LoRa-based wireless telemetry system for real-time monitoring of electronic equipment loads in ferry passenger cabins. The system leverages LoRa’s long-range, low-power communication capabilities to collect and transmit energy usage data, enabling precise tracking and management of electrical loads. Through field testing, the proposed system demonstrated reliability, scalability, and energy efficiency. The implementation of this technology allows for enhanced operational insights, reduced energy waste, and improved onboard energy efficiency. This approach provides a cost-effective solution for modernizing energy management in maritime transportation.

Generative AI is rapidly reshaping the landscape of software (SW) companies’ operations, offering unprecedented capabilities for creating new code, documentation, designs, and more. By harnessing advanced machine learning architectures such as large language models (LLMs), agent-based frameworks, retrieval-augmented generation (RAG), and multimodal systems, organizations can reduce development cycles, improve service quality, and unlock innovative business opportunities. Recent articles highlight how these AI-driven approaches not only address routine tasks—such as boilerplate code generation or automated testing—but also facilitate more complex undertakings, including self-healing infrastructure and intelligent orchestration of multi-step workflows. However, integrating generative AI into software operations requires strategic planning around data governance, infrastructure scalability, workforce reskilling, and ethical guardrails. This research article examines the current applications of generative AI in software organizations, details emerging approaches for operational efficiency, and discusses implementation challenges. In doing so, it presents a holistic framework for understanding and adopting generative AI techniques—ranging from code completion to multimodal content creation—while emphasizing the synergy between agent-based architectures and retrieval-augmented generation. The discussion concludes with recommendations on how software firms can realize long-term benefits by blending AI-driven automation with robust oversight mechanisms, ensuring that generative AI becomes a catalyst for sustainable and ethical operational improvements.

The article identifies and describes testing methods that take into account the specifics of perception and orientation in the interface of such users. Interaction with voice interfaces creates a number of difficulties for users who use screen readers, as it requires the development of special approaches to create an accessible and user-friendly interface. Throughout the course of this work, the functional and cognitive aspects of voice interaction were investigated, compatibility with screen readers was evaluated, and synchronization of audio streams was studied.

Scientific articles were used as methodological sources, and for the practical part of the work, data contained in open access on the Internet was used, which made it possible to widely consider the chosen topic and form one's own position on the topic under consideration.

The results of the analysis showed that improved audio stream management and command settings reduce the burden on information perception and make it easier to interact with the interface. The conclusion of the work emphasizes the necessity of conducting tests in real-world conditions, considering the characteristics of the target audience.

The information presented in this article will be valuable to developers, designers, and testers who are interested in creating inclusive applications for visually impaired users.