FuSeBMC AI: Acceleration of Hybrid Approach through Machine Learning
arxiv(2024)
摘要
We present FuSeBMC-AI, a test generation tool grounded in machine learning
techniques. FuSeBMC-AI extracts various features from the program and employs
support vector machine and neural network models to predict a hybrid approach
optimal configuration. FuSeBMC-AI utilizes Bounded Model Checking and Fuzzing
as back-end verification engines. FuSeBMC-AI outperforms the default
configuration of the underlying verification engine in certain cases while
concurrently diminishing resource consumption.
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