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We also conduct this experiment in a controlled environment and the techniques involved in the study require the same artifacts from the first experiment – the test suite generated through a MBT test case generation algorithm.
The work from Santiago et al. [35] proposes the use of state charts for the automated test case generation (our goal is to use a similar approach to generate the workload).
In this paper, we evaluate another tool called BETA that is also a test case generation approach which focuses on test case generation from B models.
There exists a substantial diversity of test case generation strategies for random testing binaries.
The next iteration of test case generation is then executed with adapted Lévy flights.
This approach is a mixed approach (structural- and state-based) focusing on test case generation.
For this experiment, we identified the algorithm/tool for CIT test case generation.
These two categories have been referred as test case generation and test case construction factors.
Indeed, several drawbacks result from the use of model checkers for test case generation.
A test case generation method is proposed using unusual values and replacement and additions of operation names.
Then, the fuzzer enters the loop of test case generation, quality evaluation, adaptation of diffusivity, and test case update.
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CEO of Professional Science Editing for Scientists @ prosciediting.com