14 citations · 43 across the 11 of their papers we have counts for
4 papers · 1 filter
LSPFuzz: Hunting Bugs in Language Servers
Hengcheng Zhu, Songqiang Chen, Valerio Terragni +4
The Language Server Protocol (LSP) has revolutionized the integration of code intelligence in modern software development. There are approximately 300 LSP server implementations fo…
Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode
Songqiang Chen, Congying Xu, Jingyi Chen +3
Although large language models (LLMs) show promising potential in code translation, they still struggle to generate accurate translations using the commonly adopted direct code-to-…
Understanding and Characterizing Mock Assertions in Unit Tests
Hengcheng Zhu, Valerio Terragni, Lili Wei +3
Mock assertions provide developers with a powerful means to validate program behaviors that are unobservable to test assertions. Despite their significance, they are rarely conside…
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval
Jiarong Wu, Songqiang Chen, Jialun Cao +2
Existing code generation benchmarks for Large Language Models (LLMs) such as HumanEval and MBPP are designed to study LLMs' end-to-end performance, where the benchmarks feed a prob…