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Type of Performance testing

Type of performance test

Performance testing is a comprehensive terminology. It includes five types of tests such as performance testing, load testing, scalability tests, volume testing and stress testing.

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1) performance testing

This is the first task and includes testing every part of the system to detect which part is slow. Based on this test results, efforts are made to make a response faster.

2) load testing

This test is done to test whether the application or system is ready for use in terms of expected load or not. The application performance is checked with the response time needed for certain user loads.

3) Stress testing

This test is done to understand what level of stress or user number, the system starts to produce an error and whether it can return online after a massive surge in the user number or crash. The time taken to return online is another factor that must be taken into account in this test.

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4) scalability testing

Scalability testing is done to ensure that the software handles an increase in workload effectively. This is done by gradually adding workload or user and continues to monitor the performance of the software or application.

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5) volume testing

This ensures how effective the system is able to handle a large amount of data. The data is then gradually increasing with the use of the application.

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Performance testing stage

Basically there are 7 important steps in performance testing.

1) Identify the testing environment:

The test team must identify hardware, software, network configuration and tools needed to start the test. This can include the same actual production system or replica. Sometimes a subset of the production system with the same or lower specifications is also used.

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2) Identify performance metrics:

Performance metrics are very important that determine the parameters in which performance must be tested. Metric must include time of response, waiting time, average load time, peak response time, error rate, simultaneous user, throughput, demand per second, utilization of CPU, memory utilization, constraints etc. The success criteria are different from the application to the application. Therefore, the appropriate success criteria must be included in the metric.

3) Plan and design tests:

At this stage, the testing team must identify the test scenario by considering user variability, test data and testing parameters. This can cause more creation than one model for testing.

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4) Configure the testing environment:

At this stage the testing environment consists of hardware, software, and testing instruments need to be prepared to monitor application performance or systems.

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5) Take data:

When everything is ready to be tested started and the data captured on different parameters is captured for analysis.

6) Generation analysis and report:

Data captured in the previous step was analyzed and shared with the team. Based on corrective action analysis was taken to fix the problem.

7) Retesting:

The test is re-conducted on the same parameters to test whether the repair work is sufficient or requires fine adjustment. After this found testing is finely done using different parameters and improvements, if needed, done.

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Performance testing advantages

Helpful performance testing -

Value of system appearance for growth

Identify weak points in architecture

Detect bugs in software that cannot be identified otherwise

Tune up system

Verifying system resistance and reliability

When should performance testing?

To save money and time, performance testing must be done at the beginning of the application or life cycle system development. It helps in testing basic technology such as network performance, balancing load, performance server performance, database server performance, and web server performance. However, this must be done with the expected load level.

Detect and correct performance problems after a live website can be an expensive proposition for you. As soon as all web pages are built and testing the workload must begin. After that, every time the module or part of the software or application is implemented, it must be tested for performance.