Jul 28, 2023 � In this study, we perform a comprehensive comparison of the fault prediction performance of machine learning approaches that have shown the best performance on�...
Apr 22, 2022 � In this study we perform a comprehensive comparison of the fault prediction performance of machine learning approaches that have shown the best performance on�...
Jul 28, 2023 � We evaluate the accuracy of the classifiers in predicting fault-detecting tests for different values of the continuous integration time budget�...
Apr 26, 2022 � Test prioritization is a method that can improve the efficiency of continuous integration testing by selecting test cases that can detect faults�...
This study performs a comprehensive comparison of the fault prediction performance of machine learning approaches that have shown the best performance on�...
Comparative study of machine learning test case prioritization for continuous integration testing. Authors: D. Marijan. Status: Published.
Comparative study of machine learning test case prioritization for continuous integration testing � List of references � Publications that cite this publication.
We introduce a contextual information approach for ML algorithms. Such an approach considers information from the testing activity that can be easily collected.
Missing: Comparative | Show results with:Comparative
Test prioritization is a method that can improve the efficiency of continuous integration testing by selecting test cases that can detect faults in the early�...
Missing: Comparative study
This work presents the results of a systematic mapping study on Test Case Prioritization in Continuous Integration environments (TCPCI)
Missing: Comparative | Show results with:Comparative