1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.SE2026★ 1 cited
Revealing Domain-Spatiality Patterns for Configuration Tuning: Domain Knowledge Meets Fitness Landscapes
Yulong Ye, Hongyuan Liang, Chao Jiang +2
Configuration tuning for better performance is crucial in quality assurance. Yet, there has long been a mystery on tuners' effectiveness, due to the black-box nature of configurabl…
cs.SE2025
Evaluating Useful Surrogate Models for Configuration Tuning Beyond Accuracy: A Fitness Landscape Analysis Perspective
Pengzhou Chen, Hongyuan Liang, Tao Chen
To efficiently tune configuration for better software system performance (e.g., latency) at the deployment and maintenance stage, many tuners have leveraged a surrogate model to ex…
cs.SE2025
The Same Only Different: On Information Modality for Configuration Performance Analysis
Hongyuan Liang, Yue Huang, Tao Chen
Configuration in software systems helps to ensure efficient operation and meet diverse user needs. Yet, some, if not all, configuration options have profound implications for the s…