… Regardless of the advantages the presence of voids, poor interfacial bonding between
adjacent layers and higher dependency of process parameters are the disadvantages of AM …

… goodness of fit through regression analysis. We found that vt … This simple linear dependence
suggests that it is adequate to … ratio t test and the results show that the dynamic changes of …

… Among the most actively used models are: dynamic models that describe the dependence
… This is an open, completely autonomous platform that does not require dependence on the …

… Understanding the effect of time-constraint bounded novel technique for regression test
selection and prioritization. Int’l Journal of System Assurance Engineering and Management, …

… of an intelligent algorithm to test suite reduction, in this paper, we propose a test-suite-reduction
algorithm based on the firefly algorithm. First, we transform the test-suite-reduction …

… 近年来, Zhang 等人[50]融合现有的动态测试选择方法的优点提出了第1 个混合测试用例选择
方法HyRTS (hybrid regression test selection), 可应用于方法级,文件级等不同粒度的场景. 传统…

… Another test should be designed to test the dynamic capabilities of the models. Such test
should compare the computed forces and torques in the model against experimentally …

… adjust prioritization strategies dynamically according to test feedback. But the existing
techniques based on reinforcement learning … Practical regression test selection with dynamic file …

… A systematic regression testing method and tool for software … model for regression test
selection and cost analysis of Java … Precise dynamic impact analysis with dependency analysis …

… information regarding the conditional dependencies among variables. … dependencies
between variables, CCA involved the covariance matrix and addressed marginal dependencies …