RISK MANAGEMENT AT DIFFERENT STAGES OF THE IT PROJECT DEVELOPMENT LIFE CYCLE

Abstract

This research explores the primary risks associated with the IT project lifecycle, covering stages such as requirement analysis, system design, software development, testing, deployment, and maintenance. The study emphasizes the varied nature of risks at each phase, including unclear requirements, technical weaknesses, cybersecurity threats, scalability issues, and organizational or financial limitations. It stresses the importance of embedding risk management into the software development process to proactively identify and address uncertainties, thereby minimizing disruptions. Effective identification, assessment, and mitigation of risks at various stages of the software development lifecycle are essential for ensuring system stability, security, and successful project execution. Risk management serves as a critical component in minimizing potential failures, optimizing resource utilization, and enhancing overall project efficiency.
A systematic approach to risk assessment enables the development of effective mitigation strategies before potential issues escalate. Key methods include thorough documentation, automated testing, continuous integration and deployment, agile practices, and compliance with standardized frameworks. Special focus is placed on cybersecurity measures due to the increasing prevalence of data breaches, unauthorized access, and compliance challenges in IT projects.
The study also highlights the critical role of communication and collaboration among stakeholders to ensure transparency in risk management. Regular risk evaluations, active stakeholder involvement, and adaptive decision-making processes enhance project resilience and adaptability. Additionally, the use of predictive analytics and AI-driven risk assessment tools is identified as a way to improve risk detection and mitigation.
By adopting a comprehensive risk management framework, IT project teams can enhance project stability, operational efficiency, and security. The findings of this study offer valuable insights for developing best practices to reduce uncertainties, optimize project outcomes, and ensure long-term sustainability in a rapidly evolving technological environment.