10 citations · 28 across the 6 of their papers we have counts for
6 papers
Retrieval-grounded robot program generation and simulation-based correction via Model Context Protocol
Zhichao Zhou, Siyuan Chen, Omkar Salunkhe +3
Flexible manufacturing requires industrial robots to be reprogrammed rapidly as product variants change. This paper presents a language-model-based workflow that generates, validat…
Artemis: Toward Accurate Detection of Server-Side Request Forgeries through LLM-Assisted Inter-Procedural Path-Sensitive Taint Analysis
Yuchen Ji, Ting Dai, Zhichao Zhou +2
Server-side request forgery (SSRF) vulnerabilities are inevitable in PHP web applications. Existing static tools in detecting vulnerabilities in PHP web applications neither contai…
An LLM-based Readability Measurement for Unit Tests' Context-aware Inputs
Zhichao Zhou, Yutian Tang, Yun Lin +1
Automated test techniques usually generate unit tests with higher code coverage than manual tests. However, the readability of automated tests is crucial for code comprehension and…
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…
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…
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…