Oct 14, 2021 � DeepOrder ranks test cases based on the historical record of test executions from any number of previous test cycles.

DeepOrder ranks test cases based on the historical record of test executions from any number of previous test cycles.

Implementation of DeepOrder for the paper "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".

DeepOrder learns failed test cases based on multiple factors including the duration and execution status of test cases. We experimentally show that deep neural�...

This work introduces DeepOrder, a deep learning-based model that works on the basis of regression machine learning that outperforms the industry practice�...

This work introduces DeepOrder, a deep learning-based model that works on the basis of regression machine learning. DeepOrder ranks test cases based on the�...

Oct 18, 2023 � Abstract: Continuous integration (CI) testing is crucial in modern software engineering and test case prioritization.

We experimentally show that deep neural networks, as a simple regression model, can be efficiently used for test case prioritization in continuous integration�...

In CI testing scenarios, AI models comprising machine and deep learning predictors can be trained by using large test data to predict test cases and speed up�...

Jul 28, 2023 � Deeporder: Deep learning for test case prioritization in continuous integration testing. In 2021 IEEE International Conference on Software�...