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Found 4 papers, 2 papers with code
Predicting Performance of Software Configurations: There is no Silver Bullet
We have conducted a comparative study regarding the mean prediction accuracy when predicting the performance of all configurations considering 6 machine-learning techniques, 18 sampling strategies, and 6 subject software systems.
Finding Faster Configurations using FLASH
FLASH scales up to software systems that defeat the prior state of the art model-based methods in this area.
Software Engineering
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis
Modern software systems provide many configuration options which significantly influence their non-functional properties.
Faster Discovery of Faster System Configurations with Spectral Learning
Despite the huge spread and economical importance of configurable software systems, there is unsatisfactory support in utilizing the full potential of these systems with respect to finding performance-optimal configurations.
