GITNUX MARKETDATA REPORT 2023
Must-Know Quality Assurance Metrics
Highlights: The Most Important Quality Assurance Metrics
- 1. Defect Density
- 2. Test Case Execution Rate
- 3. Test Case Pass Rate
- 4. Test Case Coverage
- 5. Requirement Coverage
- 6. Defect Age
- 7. Defect Resolution Time
- 8. Defect Severity
- 9. Defect Removal Efficiency (DRE)
- 10. Defect Root Cause Analysis (RCA)
- 11. Test Effort
- 12. Code Quality
- 13. Code Review Coverage
- 14. Customer Reported Defects
- 15. Customer Satisfaction
Table of Contents
Quality Assurance Metrics: Our Guide
In today’s technology-driven world, Quality Assurance (QA) has become a fundamental pillar for any successful software project. Therefore, understanding and implementing effective Quality Assurance metrics has gained paramount importance. This blog post will delve into the must-know QA metrics that can enhance your software development process, ensuring quality, efficiency, and customer satisfaction.
This metric calculates the number of defects identified in the software during a specific period, divided by the size of the software
The number of requests an application can handle per unit time. Higher throughput indicates a more efficient application that can handle increased load
The percentage of requests resulting in errors. Lower error rates indicate a more stable and reliable application.
A numerical measure that evaluates an application’s performance based on user satisfaction
The percentage of the processor’s capacity used by an application. This metric indicates the efficiency of the application and its resource consumption
The amount of system memory allocated to and used by an application. This metric also indicates the efficiency of the application and its resource consumption.
The amount of disk space used by an application for storage and caching. Minimizing disk usage can help ensure the application’s scalability and efficiency
The time it takes for a request to travel between the client and server or between different servers in an application.
Cache Hit Ratio
The percentage of data requests that are served from the cache instead of being fetched from the database or other sources.
Database Query Performance
The time it takes to execute specific database queries, as well as the throughput of running queries within the application.
The frequency and duration of garbage collection events in an application, which are responsible for freeing up memory from unused objects.
Thread And Connection Pool Usage
The count of active threads and connections in an app. Monitoring aids bottleneck detection, concurrency optimization, and maintaining responsiveness during heavy loads
Incoming request size in bytes, including headers, payload, and metadata. Monitoring aids request handling and boosts app performance.
Outgoing response size in bytes, including headers, content, and metadata. Monitoring aids in detecting data handling issues and optimization
Application uptime percentage is crucial for a reliable user experience
Frequently Asked Questions
What are Quality Assurance Metrics?
Why are Quality Assurance Metrics important?
What are some examples of Quality Assurance Metrics?
How can Quality Assurance Metrics be used to improve a product or process?
How often should Quality Assurance Metrics be reviewed and updated?
How we write these articles
We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly. See our Editorial Guidelines.