Issue Tracking System

Issue tracking systems are crucial for managing software development, aiming to streamline bug reporting, task assignment, and overall project workflow. Current research focuses on automating tasks like bug report classification (using techniques such as natural language processing and transformer-based models like RoBERTa and BERT) and intelligent issue assignment, leveraging machine learning to predict resolution times and match tasks to developers' skills. These advancements improve software development efficiency and transparency, impacting both open-source and industrial projects by reducing resolution times and enhancing developer productivity.