Decomposition Principles in Software Architecture Design for Systems with the BCI-Based Interaction

   Brain-computer interfaces (BCIs) are a modern and promising interaction technology that significantly expands human capabilities. An actual objective is the fast and flexible development of adaptive BCI applications for various tasks and for a wide range of users, especially for people with disabilities. The decomposition of the system software architecture into components, which is one of the aspects of the development process, has been considered including the features of the BCI-based applications. The approach of functional decomposition, which is popular in the field of software development, including BCI interaction, has been analyzed. The application of volatility-based decomposition principle has also been proposed. These two principles have been compared on the example of designing a system that implements the control of a robotic device using BCI, for which common initial requirements have been determined and two functionality-based and volatility-based options for its software decomposition have been considered. Finally, the necessity to perform any modifications of the components due to various upgrades of the system has been analyzed. It has been shown that both decomposition approaches are applicable to solve the problem of designing systems with BCI interaction, but volatility-based decomposition demonstrates a higher resistance of the application architecture to changes due to the forthcoming of new functional requirements. Therefore, this decomposition method simplifies and optimizes the adaptation of the BCI application to changing operational conditions, which is beneficial from an economic point of view and positively affects the user experience.

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