Cloud computing infrastructures generate extensive system logs that record operational activities, performance metrics, and error events. While these logs are essential for monitoring system health, they are often technical, lengthy, and difficult to interpret quickly. The Smart Incident Assistant is a Java-based desktop application developed to transform raw cloud incident logs into structured, meaningful insights. This system acts as an intelligent incident summarization and recommendation platform, building upon a prior cloud log analyzer system. The application reads incident data from JSON files, processes the content using rule-based logic, classifies incidents based on severity levels, and generates human-readable summaries. Furthermore, it recommends suitable troubleshooting steps for each identified issue. The application is implemented using Java 11 and JavaFX, providing a clean graphical dashboard that allows users to monitor, manage, and export incident reports efficiently. By reducing manual log interpretation effort and improving response time, the Smart Incident Assistant enhances operational decision-making in cloud environments. The system demonstrates effective utilization of object-oriented programming principles, modular architecture design, file handling mechanisms, and intelligent rule-based processing techniques.
Sivasankari et al. (Thu,) studied this question.
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