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Statement and branch coverage metrics are considered baseline coverage criteria.
Table 15 Statement and branch coverage for Question Database Application Name % # # Covered/ % # # Covered/ Covered Statem.
Quality of the results was evaluated with statement and branch coverage and mutation analysis [25] metrics.
The techniques we used to measure the results of our experiments were statement and branch coverage and mutation analysis.
Logical coverage tests were also evaluated using statement and branch coverage analysis and mutation analysis (Figs. 7, 8, and 9).
Bar charts with the average of the statement and branch coverage results obtained with the tests generated by BETA in the Lua API case study.
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Morgan Stanley acknowledged that it had "to correct a statement": brokers and branch managers were indeed paid to sell in-house offerings and a few others.
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.
Differently from the analysis presented in section 'Effort to adapt test sets across paradigms', the p values obtained for the STATEMENT i and BRANCH i metrics are all above the defined threshold of 0.05.
In other words, we want to study the effect of different programming paradigms on the test coverage with respect to the structure (statements and branches) of OO and AO programs.
Test selection criteria (or simply testing criteria) based on control flow use only information about the execution flow of the program such as statements and branches to determine which structures need to be tested.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com