Volume testing: In this large amount of data is inserted in database and system behavior in such conditions is mapped. In this type of testing, the number of users is increased to an extreme point to check the breakpoint of an application under test. Stress testing: It is the ability of application under test to perform well under extreme user load. In this type of testing, the number of users is increased to check how the system will behave in this period of time. Load testing: It is the ability of application under test to perform well under certain user load. Transaction graph: It is the time taken by AUT (Application under test) to perform end to end transactions with success ratio. This needs to be lesser so that the robustness of a system is well maintained. Error processing time: it is time which the system takes to rollback to a stable state. Hits per second: it is the number of hits to the server in each second of performance testing. This time needs to be lesser so that the user should get the response on time. Response time: It is the time the user waits for the response, after sending a request from the application. As there will be a lot of users performing the transaction at the same time so to handle their request and responding them back, needs to be done in a quick way. Throughput: it is the number of transactions per second, the system can handle. There will always be a need to conduct performance testing on the environment (staging) whose specification is similar to the deployment server so that application under test can perform properly after deployment. An application that is integrated into bomb detonators, launching for a spacecraft, ventilator or any other machine used in saving the life of a person needs to be tested thoroughly to ensure their scalability when used for a longer period of time.
People don’t prefer to a user an app that always lags and whose waiting time is more while navigating through pages. If an application is deployed with poor performance then it will be a great loss to reputation in terms of business as well as for sales goal. If all the above-mentioned parameters are not mapped properly then it will end up delivering an application having poor performance prompting end-user to opt for different options available on the internet. First and the foremost thing is the end to end transaction time and accuracy. For example, Apps, that are built for e-commerce platform needs to be very fast in all the formats related to searching for a product or categorizing the product. When a mobile app is structured or a web application is developed then we must know what will be our targeted audience whether the app is for e-commerce or health or an education domain. Functional and structuring of an application is not the only the main concern in STLC where the team needs to focus, but there must also be separated allocated tasks where resource usage and scalability of AUT must be performed. The targeted audience of this article, who wants to know the necessity of doing performance testing during the mobile and web application development so that when the user database gets increased many factors such as response time, throughput and hits per second remain stable to ensure the robustness of an application.
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