Test Maturity Metrics CTEL-ITP-ATP Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   Which of the following is an example of a product metric used in test maturity assessment?

   • ATest case preparation productivity (test cases per person-day)
   • BSchedule variance (planned vs. actual test completion dates)
   • CDefect density (defects per thousand lines of code)
   • DTest environment availability (percentage of time environment is ready)
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2. 27application · medium

   A test manager needs to present test maturity metrics to senior management. The management is primarily interested in the return on investment (ROI) of the testing activities. Which approach is most effective for communicating the metrics?

   • APresent a detailed technical report with all raw data and statistical analyses.
   • BUse visual dashboards with trend lines and highlight the correlation between testing effort and defect reduction.
   • CFocus on the number of test cases executed and the pass rate.
   • DProvide a list of all defects found and their severity.
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4. 28expert · hard

   A test manager is analyzing the trend of test case pass rate over the last four releases. The pass rate has been declining: 90%, 85%, 80%, and 75%. The test manager suspects the decline is due to increasing complexity of the software. What is the most appropriate action?

   • AReduce the number of test cases to make the pass rate look better.
   • BInvestigate the root cause of the declining pass rate before taking action.
   • CIgnore the trend because the software is becoming more complex.
   • DIncrease the number of test cases to improve the pass rate.
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5. 29application · medium

   A test manager is categorizing metrics for a project. The metrics include: number of test cases executed, defect detection percentage, and test schedule variance. Which categories do these metrics belong to?

   • AAll are process metrics.
   • BProcess, product, and project metrics, respectively.
   • CProject, product, and process metrics, respectively.
   • DProduct, process, and project metrics, respectively.
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6. 30application · medium

   A test manager is collecting data on defect detection percentage. The data is collected manually by testers at the end of each sprint. The test manager notices that the data is often incomplete and inconsistent. What is the most effective way to improve the accuracy of the data?

   • AUse a different metric that is easier to collect.
   • BAutomate the data collection process using test management tools.
   • CAsk testers to be more careful when entering data.
   • DCollect data less frequently to reduce the burden on testers.
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