software testing
30 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
We then discuss the application of CGF to the following goals: finding numerical errors in trained neural networks, generating disagreements between neural networks and quantized versions of those networks, and surfacing undesirable behavior in character level language models.
Black-box Explanation of Object Detectors via Saliency Maps
RuoyuChen10/objectdetection-saliency-maps
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CVPR 2021
We propose D-RISE, a method for generating visual explanations for the predictions of object detectors.
Fairness-aware Configuration of Machine Learning Libraries
This paper investigates the parameter space of machine learning (ML) algorithms in aggravating or mitigating fairness bugs.
GPflow: A Gaussian process library using TensorFlow
GPflow/GPflow
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GPflow is a Gaussian process library that uses TensorFlow for its core computations and Python for its front end.
SECBENCH: A Database of Real Security Vulnerabilities
Currently, to satisfy the high number of system requirements, complex software is created which turns its development cost-intensive and more susceptible to security vulnerabilities.
Recurrent Neural Networks for Fuzz Testing Web Browsers
Generation-based fuzzing is a software testing approach which is able to discover different types of bugs and vulnerabilities in software.
Boosting Operational DNN Testing Efficiency through Conditioning
With the increasing adoption of Deep Neural Network (DNN) models as integral parts of software systems, efficient operational testing of DNNs is much in demand to ensure these models' actual performance in field conditions.
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning
On the other hand, if the optimal performance testing policy for the intended objective in a testing process instead could be learned by the testing system, then test automation without advanced performance models could be possible.
Business Negotiation Definition Language
The target of this paper is to present an industry-ready prototype software for general game playing.
Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects
Moreover, we found that these concepts can also be applied to hyperparameters, to further improve the quality of the smoke tests.
