As the number of software systems rises, it is critical to check their performances consistently. Performance testing is a technical process that needs to be done within specific guidelines but yields excellent results through best practices. The practice gives developers the area of focus when diagnosing a software performance issue.
Software monitoring solutions like Apica Systems use different tools to conduct various software testing. The first tests are usually based on determining the system’s readiness before carrying out detailed functional tests. Then, the non-functional testing is followed by, among others, the following screening:
- Load testing: This testing establishes the working condition of a system depending on its response to a particular workload input
- Stress testing: A system is subjected to abnormal working conditions and its ability to sustain those stresses determines the workload of the system
- Volume testing: The system is fed with large amounts of data with the aim of its efficiency in handling significant data volumes
- Scalability testing: Here, the system is tested if it can perform efficiently when data is increased
- Endurance testing: This testing is vital in the evaluation of the software’s leaks such as memory leak. In other words, it tests if the software can endure a specified period with a certain level of workload
- Spike testing: The workload is raised exponentially (spiked) to establish if the system can yield unexpected results within the shortest time possible
Once these performance tests are done, developers can establish various faults in the system. These include bottleneck issues, poor scalability, configuration errors, or insufficient resources for the hardware. These behaviors affect the CPU performance, the operating system, and the device memory leakages.
To effectively perform the above tests, it is advisable to employ some best testing practices. The procedure of monitoring systems performance starts with the identification of the correct testing environment. Establish the necessary tools required for the testing task. Also, begin the process as early possible to provide proper time framework for the operation.
After identifying the scope of testing, determine the metrics of the performance. Focus on areas such as performance time and quantity of workload. Then, you can design a proper test based on these factors. But don’t lose details of the tools for the testing, configure them with the system to create a suitable environment for system testing.
Implementation of the plan is next. Besides implementing the design, you have to record different data results and analyze them. It is critical to perform the test again using similar procedure and parameter, before carrying out the same analysis but with varying parameters. You can then prepare and share the test report. During the test, keep an eye on each of the following parameters: average response and wait time, loading time, the lowest and highest response time, the percentage error rate, system memory throughout the test, and the workload per second.
In conclusion, always remember to kick the testing process as early as possible. Besides, it is necessary to perform multiple tests using the same parameters and different parameters. Finally, the test parameters should reflect the actual users.