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With this tool in hand, maintainers can perform at least two main actions for improving software quality: (a) refactoring the source code properties that Granger-caused bugs and (b) improving unit tests coverage in classes with more bugs.
With the results provided by the tool in hand, a maintainer can perform at least two main software quality assurance activities: (a) refactoring the source code properties that Granger-caused bugs and (b) improving unit tests coverage in classes with more bugs.
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Our previous study has designed a new data-flow test coverage criterion, FB-Path Complete Condition Test Coverage (FPCC), that can directly test FBD structures and effectively detect function mutation errors.
Testing coverage is one of these issues.
We observe that for a given value (b), as parameter (a) increases the testing coverage function increases but the testing coverage rate decreases.
The on-chip RF characterization capability enhances test coverage, and reduces test time and production costs.
It is to be noted that a single test case cannot produce 100%% test coverage.
Test design should use a method that can ensure the desired test coverage.
A main goal is test coverage regarding the input parameters of the system under test.
Sakamoto et al. (2013) have created a tool for test coverage measurement which spans languages.
Testing coverage is important information for both software developers and customers of software products.
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