[HTML][HTML] A survey on different approaches for software test case prioritization

R Mukherjee, KS Patnaik - Journal of King Saud University-Computer and …, 2021 - Elsevier
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) …

Comparing white-box and black-box test prioritization

C Henard, M Papadakis, M Harman, Y Jia… - Proceedings of the 38th …, 2016 - dl.acm.org
Although white-box regression test prioritization has been well-studied, the more recently
introduced black-box prioritization approaches have neither been compared against each …

Adaptive test selection for deep neural networks

X Gao, Y Feng, Y Yin, Z Liu, Z Chen, B Xu - Proceedings of the 44th …, 2022 - dl.acm.org
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 …

Achieving scalable model-based testing through test case diversity

H Hemmati, A Arcuri, L Briand - ACM Transactions on Software …, 2013 - dl.acm.org
The increase in size and complexity of modern software systems requires scalable,
systematic, and automated testing approaches. Model-based testing (MBT), as a systematic …

[PDF][PDF] Systematic literature review on regression test prioritization techniques

Y Singh, A Kaur, B Suri, S Singhal - Informatica, 2012 - informatica.si
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 …

Single and multi-objective test cases prioritization for self-driving cars in virtual environments

C Birchler, S Khatiri, P Derakhshanfar… - ACM Transactions on …, 2023 - dl.acm.org
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 …

Empirically revisiting the test independence assumption

S Zhang, D Jalali, J Wuttke, K Muşlu, W Lam… - Proceedings of the …, 2014 - dl.acm.org
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 …

FAST approaches to scalable similarity-based test case prioritization

B Miranda, E Cruciani, R Verdecchia… - Proceedings of the 40th …, 2018 - dl.acm.org
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 …

Practical accuracy estimation for efficient deep neural network testing

J Chen, Z Wu, Z Wang, H You, L Zhang… - ACM Transactions on …, 2020 - dl.acm.org
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 …

A survey on adaptive random testing

R Huang, W Sun, Y Xu, H Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …