10 Questions
What is a common challenge mentioned in the text about performance testing?
Lacking representation in the test environment
Why is performance testing considered hard according to the text?
The variability in system resources and response time
What is an essential aspect of capacity planning in system testing?
Measuring system resources and response time with increasing users
In what stage of testing can performance issues be investigated, as mentioned in the text?
At both integration and system levels
What is a recommended action after analyzing the results of a performance test?
Asking questions related to system resources and response time correlation
What is emphasized as a critical non-functional requirement of most computer systems?
Performance factors
Why is representativeness of the test environment considered key in performance testing?
To accurately simulate real-world conditions
What is mentioned as a step to undertake when creating a baseline in system testing?
Accessing the system at various points in a day only
What is one factor mentioned in the text that contributes to performance testing being hard?
Frequent changes in user requirements
What role does capacity planning play in performance testing according to the text?
Determining if the application can handle anticipated load levels
Study Notes
Automation Tools for Performance Testing
- Apache Jmeter is an open-source application written in Java, widely used for performance testing.
When to Perform Performance Testing
- During design and development to determine performance requirements
- After functional testing, before release to ensure the system is reliable enough for production
- Post-deployment to identify causes of reported performance degradation
Why Performance Testing is Important
- To determine if the system can handle the target load and ensure hardware sufficiency
- To ensure the system is fast and responsive enough to meet customer expectations
- To avoid costly application failures and redesign software architecture
- To assure performance and functionality under real-world conditions
- To locate potential problems before customers do and reduce infrastructure costs
Types of Performance Testing
- Application response times: measuring the time taken to complete a task
- Configuration sizing: determining the best configuration for optimal performance
- Capacity planning: determining the number of users the system can handle
Investigating Performance Problems
- Identify shared resources causing contention, often in database applications
- Redesign the application to circumvent the issue
- Ensure the test environment is representative of production operation
Business Advantages of Performance Testing
- Protect revenue by isolating and fixing problems in the software infrastructure
- Improve availability, functionality, and scalability of business-critical applications
- Ensure products are delivered to market with high confidence in system performance
- Decrease costs of production support and help desk
Pitfalls of Performance Testing
- Avoid hitting cache stores in browser, DB, and file system by flushing or restarting them
- Create test data with high randomness to avoid customized data
- Avoid time averaging by taking data at various times in a day, month, and year
- Ensure automated scripts represent real users by slowing down the scripts to account for "think time"
Website Performance Testing
- Determine the system's performance level when requirements are not clear
- Create a baseline with one user accessing the system and its workflows
- Measure system resources and response time with varying numbers of users
- Analyze results to identify correlations between system resources and response time
Learn about performance testing using Apache JMeter, an open-source tool written in Java. Understand when to conduct performance testing during design, development, post-deployment, and the main components involved in the process.
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