… formulate code comments generation task as a machine translation task. … code and the
natural language. We explore whether the NMT approach can be applied to comments generation…

… We illustrate the influence of the out-of-vocabulary tokens of source code on comment
generation. We also evaluate the ability to ease the out-of-vocabulary problem by splitting …

… Automatic code comment generation is of great help for developers to comprehend
source code and reduce their workload. Thus, we propose a code comment generation tool (…

… In this paper, we focus on the code comment generation task in software engineering and
… Code Comment gENeraTor), an identifier substitution approach to craft adversarial code …

… of code comments into a classification problem based on the multi-input neural network. We
summarize the input, the code and comments, into … completion, and comment generation. …

… Afterwards, the interests of research in deep neural network based comment generation
have been increasing dramatically over the years. At the same time, Figure 3 indicates that …

… 4) To facilitate the replication of our study and evaluation of future code comment generation
techniques, we share our source code and corpus in … Jin, “Deep code comment generation,” …

… deep learning techniques are successful in the first step toward automatic header comment
generation… generate the block comment, we propose a comment generation model based on …

… ) generating the perturbed test dataset to test the robustness of the trained model; (3) generating
… Our goal is to learn robust deep code comment generation models that can maintain the …

… , we evaluate Code-RNN model’s ability to classify different source code blocks into k known
categories. In the second part, we show the effectiveness of our comment generation model …