Test Metrics are important to quantify the quality of software testing. Let’s discuss some of the common Test Metrics.
Defect Density (%)
It’s the number of defects per thousand lines of code and shows the quality of the application code. Defect Density should be very minimal. Higher the %age of Defect Density, lower the confidence in the software quality. It can also be calculated in terms of – Module(s) or Requirement(s).
Defect Density = (# of Defects / KLoC) * 100
Defect leakage (%)
It is measured to identify the number of defects missed in the software testing phase.
Defect Leakage = (Defects found in the ‘N+1’ testing phase / Defects found in the ‘N’ testing phase) * 100
Test Cases – Passed %age
The number of test cases passed in the execution phase divided by the total number of test cases.
Passed %age = (# of test cases passed/total # of test cases executed) * 100
Test Cases – Failed %age
The number of test cases failed in the execution phase divided by the total number of test cases.
Failed %age = (# of test cases failed/total # of test cases executed) * 100
Test Cases – Blocked %age
The number of test cases blocked in the execution phase divided by the total number of test cases.
Blocked %age = (# of test cases blocked/total # of test cases executed) * 100
Test Cases – Execution %age
The number of test cases executed in the phase divided by the total number of test cases written or available for test execution in the corresponding phase.
Test Execution %age = (# of test cases executed/total # of test cases available) * 100
Test Case Writing Productivity
The Productivity factor is often talked about and measured by considering total number of test cases written in a particular timeframe.
Daily Productivity (Test Case Writing) = Total # of Test Cases written / # of hours in a day
Test Case Execution Productivity
The Test Case Execution Productivity is measured by considering total number of test cases executed in a particular timeframe.
Daily Productivity (Test Case Execution) = Total # of Test Cases executed / # of hours in a day
Defects – High Severity %age
This metric gives a quick idea about the high severity defects out of total identified.
High Severity %age = (# of high severity defects / total # of defects) * 100
Defects – Med Severity %age
This metric gives a quick idea about the med severity defects out of total identified.
Med Severity %age = (# of medium severity defects / total # of defects) * 100
Defects – Low Severity %age
This metric gives a quick idea about the low severity defects out of total identified.
Low Severity %age = (# of low severity defects / total # of defects) * 100
Defects – High Priority %age
This metric gives a quick idea about the high Priority defects out of total identified.
High Priority %age = (# of high Priority defects / total # of defects) * 100
Defects – Med Priority %age
This metric gives a quick idea about the med Priority defects out of total identified.
Med Priority %age = (# of medium Priority defects / total # of defects) * 100
Defects – Low Priority %age
This metric gives a quick idea about the low Priority defects out of total identified.
Low Priority %age = (# of low Priority defects / total # of defects) * 100
Software Testing Metrics
Defect Density (%)
It’s the number of defects per thousand lines of code and shows the quality of the application code. Defect Density should be very minimal. Higher the %age of Defect Density, lower the confidence in the software quality. It can also be calculated in terms of – Module(s) or Requirement(s).
Defect Density = (# of Defects / KLoC) * 100
Defect leakage (%)
It is measured to identify the number of defects missed in the software testing phase.
Defect Leakage = (Defects found in the ‘N+1’ testing phase / Defects found in the ‘N’ testing phase) * 100
Test Cases – Passed %age
The number of test cases passed in the execution phase divided by the total number of test cases.
Passed %age = (# of test cases passed/total # of test cases executed) * 100
Test Cases – Failed %age
The number of test cases failed in the execution phase divided by the total number of test cases.
Failed %age = (# of test cases failed/total # of test cases executed) * 100
Test Cases – Blocked %age
The number of test cases blocked in the execution phase divided by the total number of test cases.
Blocked %age = (# of test cases blocked/total # of test cases executed) * 100
Test Cases – Execution %age
The number of test cases executed in the phase divided by the total number of test cases written or available for test execution in the corresponding phase.
Test Execution %age = (# of test cases executed/total # of test cases available) * 100
Test Case Writing Productivity
The Productivity factor is often talked about and measured by considering total number of test cases written in a particular timeframe.
Daily Productivity (Test Case Writing) = Total # of Test Cases written / # of hours in a day
Test Case Execution Productivity
The Test Case Execution Productivity is measured by considering total number of test cases executed in a particular timeframe.
Daily Productivity (Test Case Execution) = Total # of Test Cases executed / # of hours in a day
Defects – High Severity %age
This metric gives a quick idea about the high severity defects out of total identified.
High Severity %age = (# of high severity defects / total # of defects) * 100
Defects – Med Severity %age
This metric gives a quick idea about the med severity defects out of total identified.
Med Severity %age = (# of medium severity defects / total # of defects) * 100
Defects – Low Severity %age
This metric gives a quick idea about the low severity defects out of total identified.
Low Severity %age = (# of low severity defects / total # of defects) * 100
Defects – High Priority %age
This metric gives a quick idea about the high Priority defects out of total identified.
High Priority %age = (# of high Priority defects / total # of defects) * 100
Defects – Med Priority %age
This metric gives a quick idea about the med Priority defects out of total identified.
Med Priority %age = (# of medium Priority defects / total # of defects) * 100
Defects – Low Priority %age
This metric gives a quick idea about the low Priority defects out of total identified.
Low Priority %age = (# of low Priority defects / total # of defects) * 100
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Software Testing Metrics
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