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Deep Configuration Performance Learning: A Systematic Survey and Taxonomy

5 March 2024

Jingzhi Gong

Tao Chen

BDL

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Papers citing "Deep Configuration Performance Learning: A Systematic Survey and Taxonomy"

22 / 22 papers shown

Title
Faster Configuration Performance Bug Testing with Neural Dual-level Prioritization Youpeng Ma Tao Chen Ke Li 122 0 0 26 Jan 2025
Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning Jingzhi Gong Tao Chen 58 8 0 05 Feb 2024
Predicting the Performance of a Computing System with Deep Networks M. Cengiz M. Forshaw Amir Atapour-Abarghouei A. Mcgough 36 9 0 27 Feb 2023
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks Simin Chen Mirazul Haque Cong Liu Wei Yang 71 22 0 10 Oct 2022
Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes Jing Gong Tao Chen 47 13 0 30 Mar 2022
The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering Tao Chen Miqing Li 43 39 0 08 Feb 2022
VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python Laura Wartschinski Yannic Noller Thomas Vogel Timo Kehrer L. Grunske 51 84 0 20 Jan 2022
Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction? Tay-Yu Chen 42 14 0 18 Jan 2022
MMO: Meta Multi-Objectivization for Software Configuration Tuning Pengzhou Chen Tao Chen Miqing Li 47 9 0 14 Dec 2021
Multi-Objectivizing Software Configuration Tuning (for a single performance concern) Tao Chen Miqing Li 56 30 0 31 May 2021
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 67 114 0 14 Sep 2020
How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance Mingxing Li Tao Chen Xin Yao 47 73 0 20 Feb 2020
Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline Tao Chen Rami Bahsoon Xin Yao 44 12 0 20 Jan 2020
Towards Quality Assurance of Software Product Lines with Adversarial Configurations Paul Temple M. Acher Gilles Perrouin Battista Biggio J. Jézéquel Fabio Roli AAML 36 11 0 16 Sep 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 103 517 0 18 May 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 60 203 0 13 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 90 1,814 0 10 Apr 2019
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems Tao Chen Rami Bahsoon Xin Yao 47 104 0 12 Sep 2016
Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services Tao Chen Rami Bahsoon 34 62 0 21 Aug 2016
Model-Agnostic Interpretability of Machine Learning Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 86 838 0 16 Jun 2016
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 359 7,942 0 13 Jun 2012