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cs.SE2025
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
Jinjun Peng, Leyi Cui, Kele Huang +2
Large Language Models (LLMs) have significantly aided developers by generating or assisting in code writing, enhancing productivity across various tasks. While identifying incorrec…
cs.SE2024
Constrained LTL Specification Learning from Examples
Changjian Zhang, Parv Kapoor, Ian Dardik +4
Temporal logic specifications play an important role in a wide range of software analysis tasks, such as model checking, automated synthesis, program comprehension, and runtime mon…
cs.SE2024
Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis
William Murphy, Nikolaus Holzer, Feitong Qiao +4
In the past few years, Large Language Models (LLMs) have exploded in usefulness and popularity for code generation tasks. However, LLMs still struggle with accuracy and are unsuita…