Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention is a scholarly work, published in 2022 in ''IEEE Transactions on Software Engineering''. The main subjects of the publication include programming language, code, source code, natural language processing, abstract syntax tree, artificial intelligence, code generation, reinforcement learning, natural language, software engineering, language model, syntax, automatic summarization, test automation, and computer science. To address the above limitations, this paper presents a new code summarization approach using hierarchical attention network by incorporating multiple code features, including type-augmented abstract syntax trees and program control flows.