Oct 23, 2020 · Method: This paper proposes Perf-AL to address this problem via adversarial learning. Specifically, we use a generative network combined with ...
Recently, machine learning models have been becoming the promising method for this regression problem as they are capable of modeling the complex interplay ...
Title: Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning Authors: Yangyang Shu, Yulei Sui, Hongyu Zhang and Guandong ...
Perf-al: Performance prediction for configurable software through adversarial learning ... Electricity Price Forecast using Meteorology data: A study in ...
... Zhang et al. propose the application of Fourier learning to predict the performance of configurable systems with theoretical accuracy guarantees. [1] .
Perf-al: Performance prediction for configurable software through adversarial learning ... Electricity Price Forecast using Meteorology data: A study in ...
Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning ... Electricity Price Forecast using Meteorology data: A study in ...
Feb 4, 2024 · ABSTRACT. Predicting the performance of highly configurable software systems is the foundation for performance testing and quality assurance ...
Browsing byAuthorShu, Y ; 2020-10-05, Perf-AL: Performance prediction for configurable software through adversarial learning · Shu, Y; Sui, Y; Zhang, H; Xu, G.
... Learning for Multiple Programming Languages', in ... in Proceedings - International Symposium on Software Reliability Engineering, ISSRE, pp. ... Perf-AL ...