For each plastic type tested, statistical values based on the mean and standard deviation were generated, with p values (0.05 or less) compared to plastic types based on properties being tested generated from Student's t test distribution.
To mitigate this threat, we included test suites generated from three different test generation methods and RBAC policies with different characteristics.
The experiments are based on a series of systematically constructed DVRP test cases, generated from a general dynamic benchmark generator, to compare and benchmark the proposed ACO algorithms integrated with immigrants schemes with other peer ACO algorithms.
The test scores generated from the pre-test and post-test using QBPAT was analyzed using mean and Analysis of Covariance (ANCOVA) to test the two null hypotheses at 0.05 level of significance.
Figure 5 illustrates a part of one testing tree generated from four test cases and the FSM(P) in Fig. 4.
SUPRAS tests were generated from solutions of reverse micelles of decanoic acid (DeA) in tetrahydrofuran (THF) by addition of water, which acted as the coacervating agent.
The RBAC similarity criterion is suitable as a test prioritization criteria for test suites generated from finite state machine models specifying RBAC systems.
We proposed RBAC similarity to fill this research gap and designed an experiment to evaluate the cumulative effectiveness and the APFD of the RBAC similarity and compare to simple dissimilarity and random prioritization using test suites generated from FSM-based testing methods on RBAC systems.
The characteristics of the test cases generated from HSI and SPY favoured the similarity testing algorithms while random selection applied to complete test suites generated from W negatively impacted test prioritization using similarity functions.
