The key idea is to use a deep neural network to predict which test could be positive and to train this network online during the test generation process, ...
The key idea is to use a deep neural network to predict which test could be positive and to train this network online during the test generation process, ...
Jan 1, 2020 · Abstract—We present a novel exploratory performance testing algorithm that uses supervised learning to optimize the test suite.
In the final step of the software testing process, known as System Test (ST), the complete software system is tested to ensure that all CI-related and ...
Automatic exploratory performance testing using a discriminator neural network · Year of publication · Authors · Organizations and authors. Show more detail.
Apr 5, 2021 · Each GAN model consists of two neural networks called generator and discriminator that contest with each other in a zero-sum game. Generator.
Apr 21, 2021 · These previous algorithms use random sampling to generate tests and a deep neural network as a test discriminator to decide if a test should be ...
Truscan, “Automatic exploratory performance testing using a discriminator neural network,” in 2020 IEEE Inter- national Conference on Software Testing ...
Dec 28, 2023 · This article aims to explore how Generative Adversarial Networks (GANs) are revolutionizing software testing by generating synthetic data.
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Aug 21, 2024 · The discriminator is typically a convolutional neural network (CNN) that outputs a probability score indicating the likelihood of a test case ...
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