3 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Self-Spec Verifiable Code Generation
Jiaru Qian, Yihong Dong, Yongmin Li +3
Large language models (LLMs) may generate unreliable code on corner cases missed by testing, while formal verification can provide machine-checkable guarantees. Recently, researche…
Automated LTL Specification Generation from Industrial Aerospace Requirements
Zhi Ma, Xiao Liang, Cheng Wen +5
In the development and verification of safety-critical aero-space software, Linear Temporal Logic (LTL) has been widely used to specify complex system properties derived from requi…
Integrating Symbolic Execution with LLMs for Automated Generation of Program Specifications
Fanpeng Yang, Xu Ma, Shuling Wang +5
Automatically generating formal specifications including loop invariants, preconditions, and postconditions for legacy code is critical for program understanding, reuse and verific…
DevEval: Evaluating Code Generation in Practical Software Projects
Jia Li, Ge Li, Yunfei Zhao +14
How to evaluate Large Language Models (LLMs) in code generation is an open question. Many benchmarks have been proposed but are inconsistent with practical software projects, e.g.,…