Model-Based Strategies CTEL-TM-SM Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which metric is commonly used to evaluate the effectiveness of model-based testing?

   • ANumber of testers on the team.
   • BNumber of tools used.
   • CTime spent on creating the model.
   • DModel coverage achieved by the generated test cases.
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2. 7application · medium

   A team is using model-based testing to generate test cases from a state machine. Management wants to maximize the likelihood of finding defects related to state transitions, but the team has limited time for test execution. Which generation technique should the test manager choose?

   • ATransition coverage
   • BStatement coverage
   • CRandom generation
   • DAll-pairs coverage
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4. 8foundation · easy

   What is an important step in managing the adoption of model-based testing within an organization?

   • ASelecting tools without considering the team's experience.
   • BAvoiding any changes to the existing test process.
   • CProviding training and building skills for the test team.
   • DImmediately replacing all existing test scripts with model-based tests.
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5. 9application · medium

   A test manager is considering model-based testing for a system that changes frequently. The team is concerned that maintaining models will be as costly as maintaining scripts. What is the key benefit of MBT that addresses this concern?

   • AModels can be updated more quickly than individual scripts, and test cases are regenerated automatically.
   • BModels are written in a programming language, so they are easier to debug than scripts.
   • CModels eliminate the need for test maintenance entirely.
   • DModels automatically fix defects in the system under test.
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6. 10expert · hard

   A test manager is evaluating the effectiveness of model-based testing after one year. The data shows that MBT generated 10,000 test cases, but the defect detection rate per test case is lower than the previous scripted approach. However, the total number of defects found is higher. What is the most likely explanation?

   • AThe MBT tool is faulty and generating invalid test cases.
   • BThe testers are not executing the MBT tests correctly.
   • CMBT generated a large number of redundant or low-value test cases, diluting the defect detection rate.
   • DThe system under test has fewer defects now, so the defect detection rate naturally decreases.
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