WEB-BASED INFORMATION SYSTEM FOR IT PROJECT RISK ASSESSMENT BASED ON EXPERT METHODS
DOI:
https://doi.org/10.35546/kntu2078-4481.2026.2.47Keywords:
IT project, risk, expert approach, evaluation, mathematical modeling, project management, risk management, information systemAbstract
The study is devoted to the development of a web-based information system for IT project risk assessment, which provides comprehensive support for the processes of identification, analysis, and response to threats. The system automates expert assessment procedures by transforming fuzzy linguistic judgments into strict quantitative indicators using visual interactive scales. The developed functionality (project registry management, threat classifier, and analytical reporting) increases the efficiency of risk management and enables proactive management of factors that critically affect the project's budget, schedule, and quality. The web system is built on a client-server architecture based on the MVC pattern. The server part is implemented in PHP using the Laravel framework, while dynamic interaction and reactive interface updates are provided by integrating Livewire technology and the Blade templating engine. This solution optimizes the assessment process through the asynchronous saving of metrics in the background, minimizing the cognitive load on experts. The system is based on an adapted mathematical model that aggregates indicators of the probability and destructive impact of threats using specialized heat matrices. Focusing exclusively on negative risks and calculating their integral indicators form an objective basis for task prioritization. The combination of an expert approach with mathematical analysis makes it possible to compensate for the lack of historical data and take into account the non-formalized factors of the IT industry's organizational environment. Functional testing confirmed the absolute algorithmic accuracy of the web system: a comparison of automated and reference manual calculations revealed no deviations. This confirms the complete elimination of the human factor at the stage of mathematical data processing. In addition, the built-in visualization toolkit (risk matrix and target faceted diagrams) has proven its high efficiency in the visual identification of the most problematic aspects of the project
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