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Smoke Testing for Machine Learning: Simple Tests to Discover Severe
  Defects
v1v2 (latest)

Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects

Empirical Software Engineering (EMSE), 2020
3 September 2020
Steffen Herbold
Tobias Haar
ArXiv (abs)PDFHTML

Papers citing "Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects"

4 / 4 papers shown
Deep Learning Library Testing: Definition, Methods and Challenges
Deep Learning Library Testing: Definition, Methods and Challenges
Xiaoyu Zhang
Weipeng Jiang
Chao Shen
Qi Li
Qian Wang
Chenhao Lin
Xiaohong Guan
AAML
263
0
0
27 Apr 2024
Test & Evaluation Best Practices for Machine Learning-Enabled Systems
Test & Evaluation Best Practices for Machine Learning-Enabled Systems
Jaganmohan Chandrasekaran
Tyler Cody
Nicola McCarthy
Erin Lanus
Laura J. Freeman
209
9
0
10 Oct 2023
Differential testing for machine learning: an analysis for
  classification algorithms beyond deep learning
Differential testing for machine learning: an analysis for classification algorithms beyond deep learningEmpirical Software Engineering (EMSE), 2022
Steffen Herbold
Steffen Tunkel
223
5
0
25 Jul 2022
A Review on Oracle Issues in Machine Learning
A Review on Oracle Issues in Machine Learning
Diogo Seca
VLMAAML
162
3
0
04 May 2021
1
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