50 citations · 69 across the 9 of their papers we have counts for
9 papers
Precision in Practice: Knowledge Guided Code Summarizing Grounded in Industrial Expectations
Jintai Li, Songqiang Chen, Shuo Jin +1
Code summaries are essential for helping developers understand code functionality and reducing maintenance and collaboration costs. Although recent advances in large language model…
MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing
Gong Chen, Wenjie Liu, Xiaoyuan Xie +3
Recently, several studies have indicated that data poisoning attacks pose a severe security threat to deep learning-based (DL-based) code search models. Attackers inject carefully…
Subgraph-Oriented Testing for Deep Learning Libraries
Xiaoyuan Xie, Yan Song, Songqiang Chen +1
Deep Learning (DL) libraries, such as PyTorch, are widely used for building and deploying DL models on various hardware platforms. Meanwhile, they are found to contain bugs that le…
Word Closure-Based Metamorphic Testing for Machine Translation
Xiaoyuan Xie, Shuo Jin, Songqiang Chen +1
With the wide application of machine translation, the testing of Machine Translation Systems (MTSs) has attracted much attention. Recent works apply Metamorphic Testing (MT) to add…
SURE: A Visualized Failure Indexing Approach using Program Memory Spectrum
Yi Song, Xihao Zhang, Xiaoyuan Xie +3
Failure indexing is a longstanding crux in software testing and debugging, the goal of which is to automatically divide failures (e.g., failed test cases) into distinct groups acco…
Metamorphic Testing of Image Captioning Systems via Image-Level Reduction
Xiaoyuan Xie, Xingpeng Li, Songqiang Chen
The Image Captioning (IC) technique is widely used to describe images in natural language. Recently, some IC system testing methods have been proposed. However, these methods still…
FastLog: An End-to-End Method to Efficiently Generate and Insert Logging Statements
Xiaoyuan Xie, Zhipeng Cai, Songqiang Chen +1
Logs play a crucial role in modern software systems, serving as a means for developers to record essential information for future software maintenance. As the performance of these…
Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks
Xu Chen, Bangguo Yin, Songqiang Chen +2
Considering the success of generative adversarial networks (GANs) for image-to-image translation, researchers have attempted to translate remote sensing images (RSIs) to maps (rs2m…
SMAPGAN: Generative Adversarial Network Based Semi-Supervised Styled Map Tiles Generating Method
X. Chen, S. Chen, T. Xu +4
Traditional online map tiles, widely used on the Internet such as Google Map and Baidu Map, are rendered from vector data. Timely updating online map tiles from vector data, of whi…