AI-Powered Solutions in Computer Science: A Comprehensive COPRAS Evaluation

Artificial Intelligence (AI) has become a transformative force in computer science, revolutionizing technological advancement across multiple domains. This research explores the multifaceted applications of AI-powered solutions, employing the Complex Proportional Assessment (COPRAS) technique to comprehensively evaluate and prioritize innovative tools in computer science. The study analyzes five AI-powered solutions: Automated Code Review Tool, Intelligent Bug Tracking System, AI-Based Software Testing Framework, Predictive Maintenance for Data Centers, and NLP-Powered Chatbot for IT Support. These solutions are rigorously assessed across four critical metrics: accuracy, efficiency, innovation, and resource usage. Through systematic multi-criteria decision-making, the research reveals significant insights into AI's potential for solving complex problems, enhancing operational efficiency, and enabling intelligent automation. The COPRAS methodology provides a structured framework for comparing and ranking these technologies, highlighting their unique strengths and trade-offs. Key findings demonstrate the NLP-Powered Chatbot for IT Support as the top-performing solution, achieving the highest utility score and ranking first across evaluated metrics. The Automated Code Review Tool closely followed, showcasing balanced performance and cost-effectiveness. The research underscores AI's transformative potential in domains such as machine learning, natural language processing, computer vision, cybersecurity, and software development. Moreover, it emphasizes the critical significance of moral issues and conscientious AI development to guarantee fair and trustworthy technological solutions. By providing a comprehensive evaluation approach, this study offers valuable insights for stakeholders seeking to leverage AI technologies, guiding strategic decision-making in an increasingly complex technological landscape.