Jingzhi Gong

Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning

2024 · arXiv (Cornell University)

Learning and predicting the performance of given software configurations are of high importance to many software engineering activities. While configurable software systems will almost certainly face diverse running environments (e.g., version, hardware, and workload), current …