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The proposed formalism supports automatic test cases generation by verifying the relevant properties in the service behavioral model.
The paper finishes stating learned lessons from the trenches as well as relevant future work and conclusions that draw new research lines in the test cases generation context.
Static analysis approaches have been proposed for different tasks, including for assessing the security of Android apps, detecting app clones, automating test cases generation, or for uncovering non-functional issues related to performance or energy.
In all cases, generation time was assumed to be 20 years, respecting the values used by Lynch [18], which allows for the direct comparison of our data.
In some cases, generation time has been shown to be correlated with rates in plants.
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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).
These two categories have been referred as test case generation and test case construction factors.
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.
The development process for the CBR system includes case design, case evaluation, case generation, case retrieval and case reasoning.
The next iteration of test case generation is then executed with adapted Lévy flights.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com