Performance Testing is a non-functional testing methodology in the app testing process. It is performed to measure the quality attributes of the app, i.e., consistency, reliability, response time, and resource under a particular workload. Performance testing verifies if the application meets the desired specifications before the app is launched in the market. Performance testing is of different types: load testing, stress testing, spike testing, endurance testing, scalability testing, and volume testing.
The objective of performance testing is to identify performance bottlenecks in the app before it goes live. The QA team needs to identify critical usage scenarios of the app, identify and generate test data, plan and design a performance test script, and specify the metrics that are to be collected. The test scripts are distributed, and the results are analyzed to identify if there are any bottlenecks in the app.
The global enterprise software market is anticipated to exceed US$ 575 Billion by 2024. A mobile performance management solution allows you to monitor the software application to ensure its availability and performance. Poor app performance can lead to the failure of your app in the niche market. To optimize the app’s performance and ensure its success in the market, you need to execute this non-functional test operation.
The Objective Of Performance Testing
Key objectives of performance testing are:
· It helps the developer to determine that the app is produced in line with the defined service level agreement.
· Performance test scripts are integrated into the app testing framework to ensure that the app’s performance, service availability, and stability is reliable.
· The transaction response time of the app is tested to determine if it is within the acceptable tolerance over the increasing workload.
· The app shows table memory usage over the gradually increasing load profile.
Performance Testing And Optimization Procedure
In the app performance testing strategy, primarily the performance scenarios are identified, performance objectives are defined, and the data model is specified and implemented. The QA team specifies the workload to mimic the real-world scenarios and runs the performance test to gather and analyze the data.
Suppose the reports do not yield satisfactory results, and problems in performance are identified in the database, operating system, or network level. In that case, the test scripts are rerun to diagnose the problem and rectify it.
Types Of Performance Testing
· Load Testing: To check the system by constantly increasing the load until the time load reaches the threshold value.
· Stress Testing: To check software stability in scenarios where hardware resources such as CPU, memory, and disk space are not sufficient.
· Spike Testing: It is a subset of Stress Testing. It is performed by suddenly increasing or decreasing the load on the system or software application.
· Endurance Testing: It is non-functional testing, and the application is tested under a significant load extended over a significant period to determine how the application performs.
· Scalability Testing: To determine an app’s ability to scale up or scale down the number of user requests.
· Volume Testing: the app is subjected to a huge volume of data, and the system performance is analyzed by increasing the data volume in the database.
Mobile Application Performance Testing Strategy
The performance of a mobile app is measured in the following three categories, which include device performance, server/API performance, and network performance.
· Application startup time
· Battery time while the app is in use
· Memory consumption
· Hardware and Software variation
· Usage with other applications
· An application running in the background
· Data to & from the server.
· API calls generated
· Server downtime
· Packet Loss
· Network Speed
Advantages Of Performance Testing
· Validate Features: Performance testing enables you to validate the features of your mobile app. It enables the tester to measure the performance of functions to validate the speed, image resolution, the flexibility of the app on different OS, platforms, and networks. If the app is released in the market with poor performance metrics, it will likely be abandoned after a single-use. Performance testing allows you to pool resources to perform stringent testing to develop a high-quality app.
· Keep Your Users Happy: Performance testing enables the tester to test the app’s performance in a real-world environment. It helps to understand and observe how your customers will respond to your application. It helps to test the front-end and back-end performance of the app. Measuring application performance, including its GUI, functionality, and usability enables you to keep your users happy.
· Identify Discrepancies And Resolve Issues: Performance testing helps the QA team identify errors, gaps, and bottlenecks in the app before launched. These issues can magnify if it is identified at a later stage. Hence, performance tests provide a safe space to identify scaling defects and build an app that can meet the customer’s expectations.
Performance testing practice allows the tester to increase load capacity and user volumes for the application. Deploying a robust performance testing methodology enables you, the developers, to build apps with better receptivity in the marketplace.