Bug Triaging

Bug triaging, the process of assigning software bugs to the appropriate developers, is a crucial but often time-consuming task. Current research focuses on automating this process using machine learning, particularly exploring the effectiveness of various neural network architectures like convolutional neural networks (CNNs) and transformers (e.g., BERT, DeBERTa) for classifying bug reports and predicting optimal assignments. These models leverage textual data from bug reports, stack traces, and even developer schedules to improve assignment accuracy and reduce bug resolution times. The successful automation of bug triaging promises significant improvements in software development efficiency and cost reduction across various industries.