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Load Testing

Load testing is a type of performance testing that evaluates how a system performs under simulated real-world load conditions. Its goal is to identify bottlenecks and determine the maximum capacity of users or transactions the system can handle. Scenarios include simulating high concurrent users, numerous requests, or heavy network traffic. Performance metrics are analyzed to uncover potential issues and ensure the system can handle expected usage levels. This testing is crucial for identifying and resolving problems before production deployment.

Scalability Testing

Scalability Testing is a nonfunctional testing method that measures the performance of a system or network when the number of user requests are scaled up or down. The purpose of Scalability testing is to ensure that the system can handle the projected increase in user traffic, data volume, transaction counts frequency, etc. It tests system’s ability to meet the growing needs.
It is also referred to as performance testing, as such, it is focused on the behavior of the application when deployed to a larger system or tested under excess load. In Software Engineering, Scalability Testing is to measure at what point the application stops scaling and identify the reason behind it.

Endurance Testing

Endurance testing is also known as Soak testing. It aims at testing the system for a prolonged period of time. It makes sure that the system runs smoothly without any failure and handles the desired load.

In endurance testing, the performance testing is conducted for a longer period as per the testing requirements (such as 12 hours, 72 hours, or more) compared to other testing types such as load or stress testing.

It helps in finding out any memory leaks in the system. It also helps in checking the response time of the system over a longer period.

Spike Testing

Spike testing is a type of performance testing used to determine an application’s behavior when exposed to extreme traffic variations. Spike Testing is performed to estimate the weaknesses of software applications.In Software Engineering Spike testing helps determine system performance will deterioration when there is a sudden high load.

Another goal of Spike Testing is to determine the recovery time. Between two successive spikes of user load, the system needs some time to stabilize. This recovery time should be as low as possible.

Stress Testing

Stress testing evaluates a software application’s stability and reliability under extremely heavy load conditions. Its goal is to measure robustness, error handling, and ensure the software does not crash in critical situations. This testing goes beyond normal operating limits to assess performance under extreme conditions. It identifies the breaking point of systems and verifies effective error management. Stress testing is essential for ensuring resilience under high-pressure scenarios.

Volume Testing

Volume Testing is a software testing method used to assess the performance and behavior of a system when subjected to a large amount of data. This testing involves adding significant data to the database, pushing it to a threshold point, and observing the system’s response. It helps identify issues related to data handling, such as slowdowns, crashes, or bottlenecks. Volume Testing ensures that the system can efficiently manage large datasets and maintain performance standards. This is crucial for applications expected to process or store vast amounts of data.

The database is stretched to a threshold point by adding a large amount of data to it and then the system is tested for its response.