Search Results for author:
Found 6 papers, 1 papers with code
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation
The API context includes the definition and description of the pre-defined APIs that are used within the code snippets.
An Exploratory Study on Code Attention in BERT
When identifiers' embeddings are used in CodeBERT, a code-based PLM, the performance is improved by 21-24% in the F1-score of clone detection.
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages
Furthermore, some programming languages are inherently different and code written in one language usually cannot be interchanged with the others, i. e., Ruby and Java code possess very different structure.
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition
Although researchers have been studying multiple ways to generate code comments automatically, previous work mainly considers representing a code token in its entirety semantics form only (e. g., a language model is used to learn the semantics of a code token), and additional code properties such as the tree structure of a code are included as an auxiliary input to the model.
FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis
Leveraging this observation, we develop FACOS, a context-specific algorithm to capture the semantic and syntactic information of the paragraphs and code snippets in a discussion.
A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits
Methods: We use a crowd sourcing approach for manual labeling to validate which changes contribute to bug fixes for each line in bug fixing commits.
Software Engineering
