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Deep Configuration Performance Learning: A Systematic Survey and Taxonomy
March 7, 2024, 5:42 a.m. | Jingzhi Gong, Tao Chen
cs.LG updates on arXiv.org arxiv.org
Abstract: Performance is arguably the most crucial attribute that reflects the behavior of a configurable software system. However, given the increasing scale and complexity of modern software, modeling and predicting how various configurations can impact performance becomes one of the major challenges in software maintenance. As such, performance is often modeled without having a thorough knowledge of the software system, but relying mainly on data, which fits precisely with the purpose of deep learning.
In this …
abstract arxiv behavior challenges complexity cs.ai cs.lg cs.se however impact maintenance major modeling modern performance scale software survey taxonomy type
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