A User Evaluation of UniXcoder Using Statement Completion in a Real-World Setting

State-of-the-art machine learning-based models provide automatic intelligent code completion based on large pre-trained language models. The theoretical accuracy of these models reaches 70%. However, the research on the practicality of these models is limited. Our paper will discuss the usefulness of UniXcoder, a machine learning-based cross...