(1)Defect density:Defect density refers to the number of defects found per test cycle or per function point. A lower defect density may indicate a higher level of quality.
Defect closing speed:The speed at which the test team handles defects. That is, the time from the discovery of a defect to the resolution and closure of the defect. A short resolution time is usually an indication that the team is efficient.
Test Coverage:Test coverage measures how well the test team tests your app. This includes ** coverage, functional coverage, etc. More comprehensive coverage is often associated with higher quality.
Automated Test Coverage:Measure the percentage of apps covered by automated tests. High automated test coverage often means more comprehensive, consistent testing, which helps improve quality.
Test Execution Efficiency:Measure the number of test cases executed in each test cycle. Improving the efficiency of test execution allows for more comprehensive coverage of functions in a short period of time.
First Pass Yield:The first-pass rate refers to the percentage of test cases that pass the first test. A high first-pass rate indicates that the test cases are of high quality and have fewer defects.
Regression Testing Efficiency:Measure the efficiency of regression testing, i.e., how quickly and costly it can be performed when changes occur to your application. Effective regression testing helps to quickly verify that changes do not introduce new problems.
Periodic Defect Reporting:Generate and analyze defect reports on a regular basis to understand defect trends and improvements for your team.
Team Training & Development:Measure the training and development of team members. This includes the number of trainings attended, certifications earned, etc. Training and development helps to improve the overall level of the team.
Customer Feedback:Collect and analyze customer feedback to understand user satisfaction with product quality. Positive customer feedback may indicate that the team's work is successful.
Missing defects:Measure defects that are found in production, especially after release. Fewer production defects usually indicate that the test team has more comprehensive coverage of the system.
Test environment stability:Measure the stability of the test environment, including the availability of the environment, the correctness of the configuration, etc. A stable test environment helps to improve the reliability of the test.
The above metrics should be adapted and used according to the needs and objectives of the specific project. Test managers need to choose the most appropriate measurement based on the unique circumstances of the team and project to get a more complete picture of the team's performance and quality levels.