10 citations · 27 across the 9 of their papers we have counts for
9 papers
Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation
Zhichao Zhou, Yuming Zhou, Chunrong Fang +4
Unit testing is critical to the software development process, ensuring the correctness of basic programming units in a program (e.g., a method). Search-based software testing (SBST…
Human-in-the-loop online just-in-time software defect prediction
Xutong Liu, Yufei Zhou, Yutian Tang +2
Online Just-In-Time Software Defect Prediction (O-JIT-SDP) uses an online model to predict whether a new software change will introduce a bug or not. However, existing studies negl…
No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
Zhijie Liu, Yutian Tang, Xiapu Luo +2
Large language models (LLMs) have demonstrated impressive capabilities across various NLP tasks. Additionally, LLMs are also highly valuable in supporting software engineering task…
ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation
Yutian Tang, Zhijie Liu, Zhichao Zhou +1
Recent advancements in large language models (LLMs) have demonstrated exceptional success in a wide range of general domain tasks, such as question answering and following instruct…
On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook
Mingke Yang, Yuming Zhou, Bixin Li +1
Jupyter Notebook is a popular tool among data analysts and scientists for working with data. It provides a way to combine code, documentation, and visualizations in a single, inter…
Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation
Zhichao Zhou, Yuming Zhou, Chunrong Fang +2
Unit testing is a critical part of software development process, ensuring the correctness of basic programming units in a program (e.g., a method). Search-based software testing (S…
Towards Black-box Attacks on Deep Learning Apps
Hongchen Cao, Shuai Li, Yuming Zhou +3
Deep learning is a powerful weapon to boost application performance in many fields, including face recognition, object detection, image classification, natural language understandi…
A Systematical Study on Application Performance Management Libraries for Apps
Yutian Tang, Haoyu Wang, Xian Zhan +6
Being able to automatically detect the performance issues in apps can significantly improve apps' quality as well as having a positive influence on user satisfaction. Application P…
Feature Location Benchmark for Decomposing and Reusing Android Apps
Yutian Tang, Hao Zhou, Zhou Xu +3
Software reuse enables developers to reuse architecture, programs and other software artifacts. Realizing a systematical reuse in software brings a large amount of benefits for sta…