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Structural code-coverage criteria are metrics to analyze and quantify the control-flow coverage that is achieved for a given set of test data.
Oh yes? "The people can now control flow and distribution of information and the flow of money," he says.
The results confirms the preliminary findings that, for small applications, there is no difference between the two paradigms with respect to (control flow-based) structural coverage when test sets are reused across them.
From my experience, it's easier to control flow and temps if you face the controls.
We also consider different objectives such as maximizing flow coverage and improving the accuracy of certain class of flows.
The correct identification of hidden control flow is important, for example, to analyze decision coverage.
Pilgrims are being issued with electronic bracelets in an attempt to monitor and control crowd flow.
c) Commercial agencies should administer and control the flow of foreign workers, for profit.
In Section 6.1 we have seen how to use the implicit control flow of a data-flow element to apply a structural code-coverage metric.
In this section we discuss some important differences for identifying the structural code-coverage at source-code level and implementation-model level: (i)The modeling language may use a different implementation style (e.g., data flow instead of control flow).
The metrics we collected are statement coverage and branch coverage, which are similar to the all-nodes and all-edges traditional control flow-based criteria.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com