MATLAB Programming Fundamentals - MathWorks

fullTableTE = vertcat(resultsTE.Samples);

summaryStatsTE = varfun(@mean,fullTableTE,...

'InputVariables','MeasuredTime','GroupingVariables','Name')

summaryStatsTE =

2×3 table

Name GroupCount mean_MeasuredTime

______________________________ __________ _________________

fprintfTest/testPrintingToFile 7 0.08887

fprintfTest/testBytesToFile 6 0.08836

Increase the maximum number of samples to 100 and rerun the time experiment.

experiment = TimeExperiment.limitingSamplingError('NumWarmups',2,...

'RelativeMarginOfError',0.03,'ConfidenceLevel',0.97,'MaxSamples',100);

resultsTE = run(experiment,suite);

Running fprintfTest

.......... ....

Done fprintfTest

__________

Compute the statistics for all the test elements.

fullTableTE = vertcat(resultsTE.Samples);

summaryStatsTE = varfun(@mean,fullTableTE,...

'InputVariables','MeasuredTime','GroupingVariables','Name')

summaryStatsTE =

2×3 table

Name GroupCount mean_MeasuredTime

______________________________ __________ _________________

fprintfTest/testPrintingToFile 6 0.088188

fprintfTest/testBytesToFile 4 0.092162

The testing framework achieves the statistical objectives for both tests in approximately

50 samples.

Measure First-time Cost

Start a new MATLAB session. A new session ensures that MATLAB has not run the code

contained in your tests.

Measure the first-time cost of your code by creating and running a fixed time experiment

with zero warm-up measurements and one sample measurement.

33 Unit Testing