Response Testing in Software Testing
Software applications are developed to provide some specific service to the customers. When an end-user uses a software product/application between the software and the user, a request-response interaction takes place. This request-response interaction is one method of communication between users and systems or multiple systems in a network. When one request has been made for some action it excepts some responses for it. In this scenario response provided time matters more as it is one of the most important factors in deciding the software performance and indirectly overall software quality.
This article focuses on discussing the following topics in detail:
- Introduction to Response Testing.
- Measurement of Response Testing.
- Procedure for Estimating Response Testing.
- Types of Response Metrics.
- Important Response Time Values.
- Response Testing Tools.
Introduction to Response Testing
Response Testing, also called response time testing, is the measurement of time between the data collected by the server and data given back to the client. It is the proportion of time taken from the moment of the client’s request is sent to the moment of the server’s response. The estimated time between the operation is called response testing.
- For example, If the user is using internet banking and wants to know the available balance in the account, hence clicked on the ‘Show Available Balance’ button and the time taken in between to display the available balance on the screen after getting the details from bank server is called as response time.
- Here the request was to display the available balance in the bank account and the response was getting the details of the available balance in your account, and the time taken from request to response is called response testing.
Response time testing operation begins when the client sends a request and the operation ends when the server states that the request has been completed.
Measurement of Response Testing
Response time is measured with the help of test tools. The test tools track the time of input and output requests. The response timing of each application may differ from one tool to another.
After the client requests an application, the test tools inform the application programming interface, allowing it to record the time taken. The variation in the load of any application may affect the response. If a load of any application is more, then it takes more time for response.
Procedure for Estimating Response Time
The steps to follow to estimate the response time is:
- Determine test parameters: While one wants to perform a response time test, one needs to identify different factors and various parameters based on which the testing will be performed. Parameters can be the speed of network bandwidth, establishing web/app connectivity, response to download and upload, etc. These parameters are variables that can be changed during the experiment based on the scenario.
- Perform response time test: When the parameters are set up including various variables and controls one is ready to go for the performance test. By using different variables and controls perform the test and check the response time of the application. When response time does not cross the average response time limit then conclude that the application is responding very well and quickly.
- Record the result: During the test and after the test, keep a track of your results which can be used for further findings, also it can help in future tests. The maintained log acts as proof of the application’s response time to the higher authorities and finally to the end-users.
- Identify errors and success: After the test is completed and the log is recorded perform an analysis to check whether the test was successful or not. Which points need to be taken care of and which instances acted very well. Even the final status report can be delivered to higher management or to the client based on their requirement.
Types of Response Metrics
The following are the different types of response metrics:
- Peak response time: It helps in pointing out the problematic and slow components in a system. It handles all the troublesome components in the system efficiently.
- Error rate: It is a feature of response metrics that is responsible for handling the mathematical calculation. The error rate feature displays the percentage of error present in the system.
During response testing, there are other response time metrics, which are considered for measurement like
- Hardware utilization: This is used to measure how much hardware computing power requests and response time are used. It helps to measure the viability of current hardware systems and checks if hardware upgrades are required.
- Size of data in and out: It tracks the size of each batch of requests to the server and the number of responses created by the server.
- The number of requests per second measures how many requests an application or website receives each second. More requests per second can result in slower response times.
Important response time values:
- 0.1 second: The applications responding at 0.1 seconds are considered perfect. It is an ideal time and this time means the application is not facing any interruption.
- 1.0 second: If any application system is responding at 1.0 seconds then this response is acceptable, although it should not exceed 1.0 seconds. Users may face some delays while working on the application. However, they will not face any breakdowns.
- 10 seconds: 10 seconds is the maximum time limit and it should not exceed. If the response time value exceeds 10 seconds then the user may face long-time interference. Users may uninstall the application.
Response Testing Tools
There are countless numbers of response time testing tools available in the market. The important and famous response testing tools are as follows:
1. Load Runner:
- It is a performance testing tool that tests software application behavior and performance under load.
- It is provided by Microfocus.
- Based on the load testing script it performs load analysis of the software.
- It is not available in open-source format.
- It is a performance testing tool that supports 100% Java programmed desktop applications.
- It is provided by Apache.
- It can work with a number of protocols like HTTP, HTTPS, TCP, SOAP, FTP, LDAP, IMAP, SMTP, etc.
- It is available in open-source format.
- AEM refers to Adobe Experience Manager.
- It is a framework that is used to test component UI.
- It is provided by Adobe.
- t provides tools for automating test cases.
4. Google’s PageSpeed Insights:
- It is the free tool to find and test factors slowing down your web application
- It is provided by Google.
- It performs the speed test of the application and gives a score between 0 to 100.
- It is available in open-source format.