Performance Testing
Performance testing is testing that is performed, to determine how fast some aspect of a system performs under a particular workload. It can serve different purposes like it can demonstrate that the system meets performance criteria. It can compare two systems to find which performs better. Or it can measure what part of the system or workload causes the system to perform badly.
In other words, First and foremost type of non-functional testing is performance testing. In order to ensure that the response time of a system is acceptable, performance testing is carried out. By setting up a considerable load and a production-sized database, the system is tested for response times of several business-critical processes.
Load Testing
Types of non-functional testing in software testing also includes load testing. To check whether the system can sustain the pressure or load of many users accessing the system at one time, load testing needs to be carried out.
In other words, A load test is usually conducted to understand the behavior of the application under a specific expected load. Load testing is performed to determine a system’s behavior under both normal and at peak conditions. It helps to identify the maximum operating capacity of an application as well as any bottlenecks and determine which element is causing degradation. E.g. If the number of users are increased then how much CPU, memory will be consumed, what is the network and bandwidth response time.
Volume Testing
Volume testing is a non-functional Performance Testing, where the software is subjected to a huge volume of data. It is also referred to as flood testing.
Volume testing is done to analyze the system performance by increasing the volume of data in the database.
With the help of Volume testing, the impact on response time and system behavior can be studied when exposed to a high volume of data.
For example, testing a music site behavior when there are millions of users to download the song.
Benefits of Volume Testing:
- By identifying load issues, a lot of money can be saved which otherwise will be spent on application maintenance.
- It helps in quicker start for scalability plans.
- Early identification of bottlenecks.
- It assures your system is now capable of real world usage.
