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Deep Configuration Performance Learning: A Systematic Survey and
  Taxonomy

Deep Configuration Performance Learning: A Systematic Survey and Taxonomy

5 March 2024
Jingzhi Gong
Tao Chen
    BDL
ArXivPDFHTML

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

15 / 15 papers shown
Title
Faster Configuration Performance Bug Testing with Neural Dual-level Prioritization
Faster Configuration Performance Bug Testing with Neural Dual-level Prioritization
Youpeng Ma
Tao Chen
Ke Li
105
0
0
26 Jan 2025
Predicting the Performance of a Computing System with Deep Networks
Predicting the Performance of a Computing System with Deep Networks
M. Cengiz
M. Forshaw
Amir Atapour-Abarghouei
A. Mcgough
25
9
0
27 Feb 2023
Does Configuration Encoding Matter in Learning Software Performance? An
  Empirical Study on Encoding Schemes
Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes
Jing Gong
Tao Chen
34
13
0
30 Mar 2022
The Weights can be Harmful: Pareto Search versus Weighted Search in
  Multi-Objective Search-Based Software Engineering
The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering
Tao Chen
Miqing Li
28
38
0
08 Feb 2022
VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase
  for Python
VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python
Laura Wartschinski
Yannic Noller
Thomas Vogel
Timo Kehrer
L. Grunske
19
83
0
20 Jan 2022
Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or
  Fiction?
Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction?
Tay-Yu Chen
27
14
0
18 Jan 2022
MMO: Meta Multi-Objectivization for Software Configuration Tuning
MMO: Meta Multi-Objectivization for Software Configuration Tuning
Pengzhou Chen
Tao Chen
Miqing Li
40
9
0
14 Dec 2021
Multi-Objectivizing Software Configuration Tuning (for a single
  performance concern)
Multi-Objectivizing Software Configuration Tuning (for a single performance concern)
Tao Chen
Miqing Li
32
30
0
31 May 2021
How to Evaluate Solutions in Pareto-based Search-Based Software
  Engineering? A Critical Review and Methodological Guidance
How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance
Mingxing Li
Tao Chen
Xin Yao
26
72
0
20 Feb 2020
Synergizing Domain Expertise with Self-Awareness in Software Systems: A
  Patternized Architecture Guideline
Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline
Tao Chen
Rami Bahsoon
Xin Yao
29
12
0
20 Jan 2020
Towards Quality Assurance of Software Product Lines with Adversarial
  Configurations
Towards Quality Assurance of Software Product Lines with Adversarial Configurations
Paul Temple
M. Acher
Gilles Perrouin
Battista Biggio
J. Jézéquel
Fabio Roli
AAML
24
11
0
16 Sep 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
74
509
0
18 May 2019
Hierarchically Structured Meta-learning
Hierarchically Structured Meta-learning
Huaxiu Yao
Ying Wei
Junzhou Huang
Z. Li
52
203
0
13 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
66
1,802
0
10 Apr 2019
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
258
7,883
0
13 Jun 2012
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