IMPROVING SOFTWARE QUALITY OF THE "ELECTRONIC UNIVERSITY" SYSTEM BASED ON BALANCED TESTING

Анотація

The article presents a comprehensive study of methods for improving the software quality of the "Electronic University" information ecosystem, using the JetIQ platform of Vinnytsia National Technical University as a case study. The relevance of the work is driven by the rapid development of digital educational services and the need to establish reliable quality control mechanisms in complex distributed systems that encompass administrative, educational, and auxiliary processes.

The scientific novelty of the research lies in the substantiation of an integrated approach to testing project planning, combining the strategic V-model with operational management via Kanban technology. The author proposes an adapted V-model where each testing level (functional, communication, emotional) clearly correlates with specific ecosystem services: from verifying individual modules of the "Electronic Dean's Office" to validating the integrity of the functional and communication layers.

Special attention is paid to balancing manual and automated verification methods. The specifics of testing three key system layers are investigated: functional (educational processes and gamification), communication (interaction between users and notification services), and emotional (motivation and feedback). The implementation of a Kanban board is described to visualize the automation workflow, including stages of layer analysis, automated test execution, and emotional feedback assessment.

The practical significance of the results lies in the development of test cases for functions such as student activity monitoring, academic performance rating calculations, and data delivery reliability in notification systems. It is determined that the proposed strategy not only effectively identifies software bugs during frequent updates but also enhances the overall quality of the electronic informational educational environment. Further research prospects are related to the development of metrics for user emotional satisfaction as a crucial indicator of software quality.

References

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