Using machine learning for timing analysis: where do we stand?
摘要
This paper presents our experience using Machine Learning (ML) to predict the Worst-Case Execution Time (WCET) of small code snippets on single-core platforms. We provide a concise overview of our work, highlight key observations made throughout our study, and advocate for further exploration of this topic.