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[HTML][HTML] A survey on different approaches for software test case prioritization
Testing is the process of evaluating a system by manual or automated means. While
Regression Test Selection (RTS) discards test cases and Test Suite Minimization (TSM) …
Regression Test Selection (RTS) discards test cases and Test Suite Minimization (TSM) …
Comparing white-box and black-box test prioritization
Although white-box regression test prioritization has been well-studied, the more recently
introduced black-box prioritization approaches have neither been compared against each …
introduced black-box prioritization approaches have neither been compared against each …
Adaptive test selection for deep neural networks
Deep neural networks (DNN) have achieved tremendous development in the past decade.
While many DNN-driven software applications have been deployed to solve various tasks …
While many DNN-driven software applications have been deployed to solve various tasks …
Achieving scalable model-based testing through test case diversity
The increase in size and complexity of modern software systems requires scalable,
systematic, and automated testing approaches. Model-based testing (MBT), as a systematic …
systematic, and automated testing approaches. Model-based testing (MBT), as a systematic …
[PDF][PDF] Systematic literature review on regression test prioritization techniques
Regression test prioritization aims to prioritize the test cases that need to be re-executed
during regression testing. The test cases are executed in that order so as to catch the faults …
during regression testing. The test cases are executed in that order so as to catch the faults …
Single and multi-objective test cases prioritization for self-driving cars in virtual environments
Testing with simulation environments helps to identify critical failing scenarios for self-driving
cars (SDCs). Simulation-based tests are safer than in-field operational tests and allow …
cars (SDCs). Simulation-based tests are safer than in-field operational tests and allow …
Empirically revisiting the test independence assumption
In a test suite, all the test cases should be independent: no test should affect any other test's
result, and running the tests in any order should produce the same test results. Techniques …
result, and running the tests in any order should produce the same test results. Techniques …
FAST approaches to scalable similarity-based test case prioritization
Many test case prioritization criteria have been proposed for speeding up fault detection.
Among them, similarity-based approaches give priority to the test cases that are the most …
Among them, similarity-based approaches give priority to the test cases that are the most …
Practical accuracy estimation for efficient deep neural network testing
Deep neural network (DNN) has become increasingly popular and DNN testing is very
critical to guarantee the correctness of DNN, ie, the accuracy of DNN in this work. However …
critical to guarantee the correctness of DNN, ie, the accuracy of DNN in this work. However …
A survey on adaptive random testing
Random testing (RT) is a well-studied testing method that has been widely applied to the
testing of many applications, including embedded software systems, SQL database systems …
testing of many applications, including embedded software systems, SQL database systems …