Story Point

Story points, a unit of measure for estimating the effort required to complete tasks in agile software development, are increasingly being predicted using machine learning models. Current research focuses on improving the accuracy of these predictions by addressing data biases, optimizing input representation (e.g., using graph neural networks or hierarchical information retrieval), and enhancing model architectures like transformers to better understand narrative structure and context within textual descriptions of tasks. These advancements aim to provide more reliable effort estimations, leading to improved project planning and resource allocation in software development.