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Learning Software Configuration Spaces: A Systematic Literature Review

Learning Software Configuration Spaces: A Systematic Literature Review

7 June 2019
Juliana Alves Pereira
Hugo Martin
M. Acher
J. Jézéquel
Goetz Botterweck
Anthony Ventresque
ArXiv (abs)PDFHTML

Papers citing "Learning Software Configuration Spaces: A Systematic Literature Review"

11 / 11 papers shown
Title
Linux Kernel Configurations at Scale: A Dataset for Performance and Evolution Analysis
Linux Kernel Configurations at Scale: A Dataset for Performance and Evolution Analysis
Heraldo Borges
Juliana Alves Pereira
D. Khelladi
M. Acher
35
0
0
12 May 2025
Deep Configuration Performance Learning: A Systematic Survey and
  Taxonomy
Deep Configuration Performance Learning: A Systematic Survey and Taxonomy
Jingzhi Gong
Tao Chen
BDL
73
5
0
05 Mar 2024
Solving Multi-Configuration Problems: A Performance Analysis with Choco
  Solver
Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver
Benjamin Ritz
Alexander Felfernig
Viet-Man Le
Sebastian Lubos
33
0
0
04 Oct 2023
Software Reconfiguration in Robotics
Software Reconfiguration in Robotics
Sven Peldszus
Davide Brugali
Daniel Struber
Patrizio Pelliccione
Thorsten Berger
147
2
0
02 Oct 2023
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable
  Robots
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots
Md. Abir Hossen
Sonam Kharade
B. Schmerl
Javier Cámara
Jason M. O'Kane
E. Czaplinski
K. Dzurilla
David Garlan
Pooyan Jamshidi
85
10
0
18 Jan 2023
Machine Learning for Software Engineering: A Tertiary Study
Machine Learning for Software Engineering: A Tertiary Study
Zoe Kotti
R. Galanopoulou
D. Spinellis
79
25
0
17 Nov 2022
Family-Based Fingerprint Analysis: A Position Paper
Family-Based Fingerprint Analysis: A Position Paper
C. Damasceno
Daniel Struber
23
1
0
27 Sep 2022
Automated Identification of Security-Relevant Configuration Settings
  Using NLP
Automated Identification of Security-Relevant Configuration Settings Using NLP
Patrick Stöckle
Theresa Wasserer
Bernd Grobauer
A. Pretschner
42
5
0
19 Sep 2022
Unicorn: Reasoning about Configurable System Performance through the
  lens of Causality
Unicorn: Reasoning about Configurable System Performance through the lens of Causality
Md Shahriar Iqbal
R. Krishna
Mohammad Ali Javidian
Baishakhi Ray
Pooyan Jamshidi
LRM
86
31
0
20 Jan 2022
An Overview of Recommender Systems and Machine Learning in Feature
  Modeling and Configuration
An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration
Alexander Felfernig
Viet-Man Le
Andrei Popescu
Mathias Uta
Thi Ngoc Trang Tran
Müslüm Atas
58
23
0
12 Feb 2021
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach
  for Deep Neural Networks
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks
Md Shahriar Iqbal
Jianhai Su
Lars Kotthoff
Pooyan Jamshidi
45
3
0
18 Jan 2020
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