Defect metrics in Testing Fundamentals - Cheat Sheet & Quick Revision

Recall & Review

beginner

What are defect metrics in software testing?

Defect metrics are measurements used to track and analyze defects found in software. They help understand the quality and stability of the software by counting and categorizing bugs.

beginner

Explain the term 'Defect Density'.

Defect Density is the number of defects found divided by the size of the software (like lines of code or function points). It shows how many bugs exist per unit size, helping to find problem areas.

intermediate

What does 'Defect Leakage' mean?

Defect Leakage is when defects are missed during testing and found later by users or in production. It shows how many bugs escaped the testing process.

intermediate

How is 'Defect Removal Efficiency (DRE)' calculated?

DRE = (Defects found during testing) / (Defects found during testing + Defects found after release) × 100%. It measures how effective testing was at catching bugs before release.

beginner

Why is tracking 'Defect Age' important?

Defect Age is the time between when a defect is reported and when it is fixed. Tracking it helps teams understand how quickly they respond to and resolve issues.

What does Defect Density measure?

A Percentage of defects found after release

B Number of defects per size of software

C Time taken to fix a defect

D Total number of test cases executed

Defect Density measures how many defects exist per unit size of the software, like per thousand lines of code.

Defect Leakage refers to:

A Defects missed in testing but found later

B Defects found during testing

C Defects fixed before release

D Defects reported by developers

Defect Leakage means bugs that were not caught during testing but were found after release.

How do you calculate Defect Removal Efficiency (DRE)?

A (Defects found during testing) / (Total defects) × 100%

B (Defects found after release) / (Total defects) × 100%

C (Total defects) / (Defects found during testing) × 100%

D (Defects fixed) / (Defects reported) × 100%

DRE is the percentage of defects found during testing out of all defects found before and after release.

Why is Defect Age tracked?

A To count defects found in production

B To measure how many defects exist

C To know how long defects remain open before fixing

D To calculate defect density

Defect Age tracks the time between defect reporting and fixing to monitor response speed.

Which metric helps understand testing effectiveness?

A Defect Density

B Defect Leakage

C Defect Age

D Defect Removal Efficiency

Defect Removal Efficiency shows how well testing caught defects before release.

Describe the key defect metrics used to measure software quality.

Think about metrics that count defects, measure testing success, and track fix times.

Explain how Defect Removal Efficiency helps improve the testing process.

Consider how catching more defects before release benefits the team.