This article will explain What Is Performance Testing In Software Testing, its Life Cycle, Types, Tools, Best Practices, how it is done, Scenarios, Web Applications, Benefits, Entry And Exit Criteria, and more. It will also give you examples to help you understand each step.
“Performance testing in software testing is the process of evaluating a system’s performance under various workload conditions to measure its speed, scalability, and stability.”
What Is Performance Testing In Software Testing With Example
Table of Contents
Here, you’ll get an in-depth explanation of performance testing along with some clear examples.
It is an important part of software testing that checks how well a system or application works. It involves figuring out how fast, stable, scalable, and responsive the software is under different loads.
An demonstration of this testing using the following example:
Take, for example, a web application that is intended to handle a large number of requests from multiple users at the same time.
It is possible to establish a testing procedure in order to guarantee its performance.
To begin, a baseline test could be performed by having a specific number of users, say 100, access the application at the same time.
The measurement and analysis of the response time, throughput, and utilisation of server resources are going to take place.
The next step is to conduct the test once again, but this time with a significantly higher number of users—say, 500—to evaluate how well the system copes with the additional strain.
The response time as well as the usage of the server’s resources would be monitored in order to identify any performance degradation.
In addition, this might include stress testing, which involves pushing the application to its limits by simulating a very high user load.
This kind of testing is known as load testing. For example, the system could be put through its paces by simulating the actions of one thousand or more users at once in order to ascertain where it reaches its capacity limit or where it experiences performance bottlenecks.
The operation of the software under a variety of circumstances can be analysed by carrying out this testing using a number of different circumstances.
This assists in identifying and resolving performance issues, optimising resource utilisation, and ensuring that the application is capable of handling the expected workload without compromising its performance.
Performance Testing Types
The following is a list of various types of performance testing, along with brief explanations of each:
- Baseline Testing: Establishing a performance baseline for future comparisons by testing the system under typical or anticipated workload conditions.
- Load Testing: Assessing the system’s performance under anticipated user loads to determine whether it can handle the expected number of concurrent users and transactions.
- Stress testing: It is a process of putting a system through a lot of work, like a lot of users or a lot of data, in order to see where its limits are and where it might slow down.
- Endurance testing: It is a process of testing a system’s performance over a long period of time to make sure it can handle a certain amount of work without breaking down due to memory leaks or resource exhaustion.
- Spike Testing: Simulating sudden and significant increases in user traffic or workload to evaluate how the system handles abrupt surges and recovers once the spike subsides.
- Scalability Testing: Assessing the system’s ability to handle increased workloads by gradually increasing user load and measuring system performance and response times.
- Volume Testing: Testing the system’s performance by subjecting it to a large volume of data to ensure it can handle and process data efficiently without performance degradation.
- Configuration testing: It is the process of measuring how well a system performs with different hardware, software, or network configurations in order to find the best setup for the best performance.
- Comparative testing: It is the process of comparing the performance of two or more systems or software versions to see which one works better under the same load conditions.
- Failover testing: It is the process of seeing how well a system can keep running and recover from a hardware or software failure, such as by switching to a backup server or system.
Performance Testing Benefits
In this section we will see Benefits of Performance testing.
- Identifies performance bottlenecks: It helps identify system bottlenecks like slow response times and high resource utilisation.
- Optimizes system resource utilisation: It analyses system performance under different workloads to find opportunities to optimise memory, CPU, and network bandwidth usage.
- Assesses system scalability: It evaluates system scalability and workload handling. It helps determine if the system can handle growing user demands and if more resources are needed.
- Ensures application stability under different workloads: It helps make sure that the application stays stable and reliable even when given different workloads, preventing crashes, slowdowns, or unexpected behaviour.
- Improves user experience: By identifying and resolving performance issues, It improves user experience by ensuring faster response times and smoother system operation.
- Improves system reliability: It helps find system weaknesses or instability, allowing for improvements that increase the software or system’s dependability and robustness.
- Helps with capacity planning: It helps with capacity planning by analysing the system’s performance under different loads. This information enables organisations to allocate resources effectively and meet user demands without performance problems.
- Reduces Performance-Related Risks: It helps reduce risks related to performance, such as system failure, data loss, or bad user experiences, by locating and fixing performance bottlenecks or vulnerabilities.
- Validates system responsiveness: It measures and validates the system’s responsiveness, making sure it meets the performance criteria and responds to user requests in a timely manner.
- Provides insights for performance optimization: It produces data and metrics that can be analysed to find areas for performance optimisation, allowing organisations to fine-tune the system and improve its overall performance.
Performance Testing Life Cycle
The stages of the performance testing life cycle are listed below.
- Requirement Analysis: The performance testing life cycle starts with analysing project requirements, including performance goals, workloads, and performance acceptance criteria.
The scope and goals of the performance testing effort are defined during this phase.
- Test Planning: A detailed test plan outlines the performance testing strategy, approach, and resources required.
The test plan includes defining test objectives, performance testing tools, test scenarios, performance metrics, and success criteria.
- Test Design: During the test design phase, performance test cases and test scenarios are created.
Test cases simulate workload patterns, user behaviours, and data volumes. This stage also identifies performance metrics.
- The test environment: This set up to be as close to the production environment as possible.
This includes setting up the hardware, software, network, and database components required to create a realistic testing environment.
- Test Execution: Performance tests are carried out based on the test plan and test scenarios.
The system is subjected to different workloads, and performance metrics such as response time, throughput, and resource utilisation are measured.
Performance testing tools simulate user interactions and collect performance data.
- Monitoring and Analysis: Performance monitoring tools are used to keep an eye on the system and its parts as the test is running.
Performance metrics are gathered in real time to find performance bottlenecks, resource limitations, and load-test system behaviour.
This stage aids in locating performance problems and their underlying causes.
- Reporting: A thorough performance test report is created after the test has been run and analysed.
The report contains in-depth findings, performance metrics, pinpointed bottlenecks, and suggestions for performance enhancements.
It gives stakeholders important information and aids in their decision-making.
- Retesting and Validation: Performance optimisations are made based on the results and suggestions.
Retesting is done to make sure that the optimisations worked and that the system met the performance goals that were set.
- Final Reporting and Closure: After the performance problems have been fixed and the system meets the performance goals, a final performance test report is made.
This report provides a summary of the this testing activities, results, and any remaining recommendations.
Performance Testing Scenarios
In this section we will see scenarios of this testing.
- Login and Authentication Performance: Testing the time it takes for users to log in and authenticate their credentials, ensuring efficient and secure login processes.
- Search Functionality Performance: Evaluating the performance of search functionality, including response times for search queries and the ability to handle a high volume of search requests.
- Transaction Processing Performance: Testing the performance of transactional processes, such as adding items to a shopping cart, completing purchases, or submitting forms, to ensure efficient processing and response times.
- File Upload and Download Performance: Assessing the performance of uploading and downloading files, including the speed at which files are transferred and the system’s ability to handle large file sizes.
- Concurrent User Performance: Testing the system’s performance when multiple users access the application simultaneously, ensuring it can handle concurrent user loads without significant performance degradation.
- API Performance: Evaluating the performance of APIs (Application Programming Interfaces), including response times, throughput, and the ability to handle a high volume of API requests.
- Database Performance: Testing the performance of database operations, such as data retrieval, insertion, and updates, to ensure efficient database processing and optimized query execution times.
- Mobile Application Performance: Assessing the performance of mobile applications, including response times, UI rendering, and battery consumption, on various devices and network conditions.
- Caching Performance: Evaluating the performance of caching mechanisms to determine the effectiveness of cache utilization and its impact on response times and overall system performance.
- Third-Party Integration Performance: Testing the performance of third-party integrations, such as payment gateways or external APIs, to ensure smooth and efficient communication between systems.
These above test scenarios help to find performance problems, improve system performance, and guarantee a reliable and high-performing software or system.
How Performance Testing Is Performed
In this section you will learn how to do performance testing,
- Identify Objectives and Criteria for Performance: Find out what the goals and criteria are for the testing process.
- Plan and design the tests: Make a detailed plan that lists the tests that will be done and how they will be done.
- Set up the testing environment: Set up the infrastructure, software, and hardware that are needed to run the tests.
- Set up the tools for testing: Install and set up the right tools and software to do the tests well.
- Prepare test data: collect or make the data that will be used for testing.
- Execute tests and keep an eye on performance: Run the tests in accordance with the planned design and keep an eye on the system’s performance during the testing process.
- Analyze results for issues and bottlenecks: Look at the test results to find any problems, defects, or performance bottlenecks.
- Optimize and retest as necessary: Make the changes you need to fix the problems you found, and then test the system again to make sure it has gotten better.
- Make test reports: Write detailed summaries of the test results, including any findings, observations, and recommendations.
- Share findings with stakeholders: Share the test results and reports with those who need to know about them, like project managers, developers, or clients.
Performance Testing Tools
Here is a list of the tools that are used to test performance.
- Apache JMeter
- Silk Performer
- Rational Performance Tester
Performance Testing Best Practices
In this section we will see Best Practices.
- Define clear performance goals and criteria before starting testing.
- Identify and prioritize critical scenarios to be tested based on real-world usage patterns.
- Create realistic test environments that closely resemble production environments.
- Use representative and diverse test data to simulate various scenarios.
- Conduct performance tests early and often throughout the development lifecycle.
- Monitor and measure system performance during the test execution.
- Capture and analyze performance metrics, including response times, throughput, and resource utilization.
- Identify and address performance bottlenecks and scalability issues.
- Perform both baseline and load testing to assess system behavior under normal and peak load conditions.
- Collaborate with development and operations teams to ensure effective performance tuning and optimization.
- Conduct performance testing with a realistic mix of user profiles and concurrent users.
- Incorporate realistic think times and pacing into performance tests to simulate real user behavior.
- Validate and verify the accuracy and reliability of performance test results.
- Continuously iterate and refine performance tests based on test results and feedback.
- Document and communicate performance test results, including any identified issues and recommendations for improvement.
Performance Testing For Web Application
- Establish clear performance goals and criteria: Define specific objectives and criteria that the web application needs to meet in terms of performance.
- Identify critical scenarios for testing: Determine the key user actions and usage patterns that need to be tested to assess the application’s performance accurately.
- Create realistic test environments: Set up test environments that closely resemble the production environment to accurately simulate real-world conditions.
- Use representative test data: Employ test data that accurately represents the actual data expected to be processed by the web application.
- Monitor and measure performance metrics: Continuously track and measure various performance metrics, such as response times, throughput, and resource utilization during testing.
- Conduct load testing: Simulate expected user loads to evaluate how the web application performs under normal operating conditions.
- Perform stress testing: Push the web application beyond its expected limits to evaluate its behavior and performance under extreme conditions.
- Collaborate between development and operations teams: Foster collaboration and communication between the development and operations teams to optimize the web application’s performance.
- Optimize code and architecture based on test results: Analyze test results and make improvements to the application’s code and architecture to enhance its performance.
- Fine-tune infrastructure and configurations: Make adjustments to the infrastructure and configurations, such as servers, networks, and databases, to optimize the web application’s performance.
- Ensure smooth user experience: Aim to provide users with a seamless and responsive experience while interacting with the web application.
- Identify and address performance issues early: Proactively detect and resolve any performance issues or bottlenecks during the testing phase to prevent them from impacting the live environment.
- Deliver a reliable and high-performing web application: Ultimately, ensure that the web application meets the performance goals, functions optimally, and delivers a positive experience to its users.
Performance Testing Entry And Exit Criteria
Performance Testing Entry Criteria:
- Availability of test environment.
- Application stability.
- Test data availability.
- Performance test plan.
- Performance testing tools and resources.
- Baseline performance metrics.
- Stakeholder agreement.
Performance Testing Exit Criteria:
- Performance goals met.
- Performance issues addressed.
- Stability and reliability.
- Performance reports and analysis.
- Stakeholder satisfaction.
- Performance testing artifacts.
- Sign-off and approval.
So today we learnt, What Is Performance Testing In Software Testing in that we covered its Life Cycle, Types, Tools, Best Practices, how it is done, Scenarios, Web Applications, Benefits, Entry And Exit Criteria, and more. It will also give you examples to help you understand each step.
Frequently Asked Question
What is process in performance testing?
The process in performance testing is the set of steps that are taken in a certain order to evaluate and measure the performance characteristics of a system or application.
What is performance testing also known as?
Performance testing is also called “load testing” or “stress testing.” These terms are frequently used interchangeably to describe the process of evaluating the performance, scalability, and stability of a system or application under different circumstances and workloads.
What is performance testing types?
What are the 4 steps of the performance process?
Planning: Defining the objectives, scope, and success criteria of the performance testing.
Test Design: Creating specific test scenarios, workload profiles, and test cases based on the defined objectives.
Test Execution: Executing the performance tests using appropriate tools and collecting performance data.
Analysis and Reporting: Analyzing the collected data, identifying performance issues, and preparing comprehensive reports with findings and recommendations.
Why do we do performance testing?
Performance testing is conducted to evaluate system or application performance, identify bottlenecks, and ensure optimal performance under expected workloads, resulting in a reliable and seamless user experience. It helps optimize the system, address performance issues early, and deliver a high-performing product.