3 papers
cs.SE2026
Bridging Behavior and Implementation: Automated Java Glue Code Generation for Behavior-Driven Development
Xinyu Shi, Zhou Yang, An Ran Chen
Behavior-Driven Development (BDD) helps technical and non-technical stakeholders share a common understanding of software requirements through natural-language scenarios. Glue code…
cs.SE2025
Enhancing LLM-based Fault Localization with a Functionality-Aware Retrieval-Augmented Generation Framework
Xinyu Shi, Zhenhao Li, An Ran Chen
Fault localization (FL) is a critical but time-consuming task in software debugging, aiming to identify faulty code elements. While recent advances in large language models (LLMs)…
cs.LG2024
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
Xinyu Shi, Yixin Tao, Shih-Chi Lin
The accurate prediction of B-cell epitopes is critical for guiding vaccine development against infectious diseases, including SARS and COVID-19. This study explores the use of a de…