10 citations · 17 across the 8 of their papers we have counts for
8 papers
Characterizing Large Language Model Agentic Workflows: A Study on N8n Ecosystem
Yutian Tang, Yuming Zhou, Huaming Chen
Large Language Models (LLMs) are rapidly being adopted in low-code and no-code automation platforms, where non-expert users design workflows that combine natural language understan…
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…
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…
Mutant reduction evaluation: what is there and what is missing?
Peng Zhang, Yang Wang, Xutong Liu +6
Background. Many mutation reduction strategies, which aim to reduce the number of mutants, have been proposed. Problem. It is important to measure the ability of a mutation reducti…