A team is testing a new e-commerce website. The business objective is to reduce cart abandonment. Which product quality metric is most relevant to this objective?

Defect detection percentage (DDP)

A testing team wants to measure the customer-reported defect rate for a new software release. They have access to a customer support ticketing system and a release management tool. What is the most appropriate data source for this metric?

The source code repository's commit history

The release management tool's deployment logs

The test management tool's defect reports

The customer support ticketing system's incident reports

A testing team has been tracking the number of defects found per test hour. The metric has been declining for several months. The team lead suspects that the testing process is becoming less effective. What is the most appropriate action to take?

Increase the number of test hours to improve the metric

Replace the metric with a different one that is easier to improve

Analyze the types of defects found and the test cases executed to identify trends

Stop tracking the metric because it is not useful

A testing team has collected data on the number of defects found per module. They notice that the 'login' module has a defect density that is three times higher than the average. What is the most appropriate next step?

Analyze the defects in the login module to identify common root causes

Ignore the anomaly because the overall defect density is within acceptable limits

Remove the login module from the test scope to reduce the average defect density

Increase testing effort in the login module to find more defects

A testing team has analyzed product quality metrics and found that the defect detection percentage (DDP) is high, but the customer satisfaction score is low. What is the most appropriate action to take?

Ignore customer satisfaction because DDP is the primary metric

Investigate the gap between DDP and customer satisfaction to identify missing quality attributes

Reduce the DDP target to align with customer satisfaction

Increase the DDP target to improve customer satisfaction

Certified Tester Expert Level Assessing Test Processes

Domain 3Objective 7

Product Quality Metrics CTEL-ITP-ATP Practice Questions (Page 4)

Part of the Domain 3: Analytical-based Improvement domain, which makes up ~32% of our current practice bank.

26questions here

6free pages

6concepts

Questions 16–20

16application · medium
A team is testing a new e-commerce website. The business objective is to reduce cart abandonment. Which product quality metric is most relevant to this objective?
Select an answer first
17application · medium
A testing team wants to measure the customer-reported defect rate for a new software release. They have access to a customer support ticketing system and a release management tool. What is the most appropriate data source for this metric?
Select an answer first
18expert · hard
A testing team has been tracking the number of defects found per test hour. The metric has been declining for several months. The team lead suspects that the testing process is becoming less effective. What is the most appropriate action to take?
Select an answer first
19application · medium
A testing team has collected data on the number of defects found per module. They notice that the 'login' module has a defect density that is three times higher than the average. What is the most appropriate next step?
Select an answer first
20application · medium
A testing team has analyzed product quality metrics and found that the defect detection percentage (DDP) is high, but the customer satisfaction score is low. What is the most appropriate action to take?
Select an answer first

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