Performance Testing
Performance Testing
Performance Testing is a software testing process used for testing the speed, response time, stability, reliability, scalability and resource usage of a software application under particular workload. The main purpose of performance testing is to identify and eliminate the performance bottlenecks in the software application. It is a subset of performance engineering and also known as “Perf Testing”.
- Speed – Determines whether the application responds quickly
- Scalability – Determines maximum user load the software application can handle.
- Stability – Determines if the application is stable under varying loads
Features and Functionality supported by a software system is not the only concern. A software application’s performance like its response time, reliability, resource usage and scalability do matter. The goal of Performance Testing is not to find bugs but to eliminate performance bottlenecks.
Performance Testing is done to provide stakeholders with information about their application regarding speed, stability, and scalability. More importantly, Performance Testing uncovers what needs to be improved before the product goes to market. Without Performance Testing, software is likely to suffer from issues such as: running slow while several users use it simultaneously, inconsistencies across different operating systems and poor usability.
Performance testing will determine whether their software meets speed, scalability and stability requirements under expected workloads. Applications sent to market with poor performance metrics due to nonexistent or poor performance testing are likely to gain a bad reputation and fail to meet expected sales goals.
Also, mission-critical applications like space launch programs or life-saving medical equipment should be performance tested to ensure that they run for a long period without deviations.
Types of Performance Testing
- Load testing – checks the application’s ability to perform under anticipated user loads. The objective is to identify performance bottlenecks before the software application goes live.
- Stress testing – involves testing an application under extreme workloads to see how it handles high traffic or data processing. The objective is to identify the breaking point of an application.
- Endurance testing – is done to make sure the software can handle the expected load over a long period of time.
- Spike testing – tests the software’s reaction to sudden large spikes in the load generated by users.
- Volume testing – Under Volume Testing large no. of. Data is populated in a database and the overall software system’s behavior is monitored. The objective is to check software application’s performance under varying database volumes.
- Scalability testing – The objective of scalability testing is to determine the software application’s effectiveness in “scaling up” to support an increase in user load. It helps plan capacity addition to your software system.
Performance Testing Process
The methodology adopted for performance testing can vary widely but the objective for performance tests remain the same. It can help demonstrate that your software system meets certain pre-defined performance criteria. Or it can help compare the performance of two software systems. It can also help identify parts of your software system which degrade its performance.
Below is a generic process on how to perform performance testing
The focus of Performance Testing is checking a software program’s
Performance testing is a testing measure that evaluates the speed, responsiveness and stability of a computer, network, software program or device under a workload. Organizations will run performance tests in order to identify performance-related bottlenecks.
In software quality assurance, performance testing is in general a testing practice performed to determine how a system performs in terms of responsiveness and stability under a particular workload.
Performance Testing is termed as a type of software testing to ensure that software applications will perform well under their expected workload. Features and functionality supported by a software system is not the only concern to deliver a software.
Performance Testing also knows as ‘Perf Testing’, is a type of testing performed to check how application or software performs under workload in terms of responsiveness and stability. The Performance Test goal is to identify and remove performance bottlenecks from an application.
This test is mainly performed to check whether the software meets the expected requirements for application speed, scalability, and stability.
Performance Testing is performed to evaluate the performance of components of a particular system under a particular workload. During this testing, system components are monitored to verify the stability of the system under test. Performance Testing is the type of Non-Functional Testing.
Performance testing is the practice of evaluating how a system performs in terms of responsiveness and stability under a particular workload. Performance tests are typically executed to examine speed, robustness, reliability, and application size.
Performance Testing Tools help in the process of determining the speed, effectiveness, reliability, scalability and interoperability of the system, computer, network, program or application.
Apache JMeter may be used to test performance both on static and dynamic resources, Web dynamic applications. It can be used to simulate a heavy load on a server, group of servers, network or object to test its strength or to analyze overall performance under different load types.
Knowledge: Jmeter does not require extensive programming knowledge. Only prior knowledge Java language is preferred.
Page - JMeter. A range of automated testing tools are existing in the market to test application features in real time. We use Apache JMeter automation tool to perform load test and measure performance of web sites. Apart from the above we also offer performance, stress and scalability.
If you are going-to-be a performance tester, it is time to start searching your school books to refresh # include <stdio. h> code snippets. C like programming language is must to know in performance testing arena.
