Moreover, the system provides individual and group profiles to the evaluator, such as a teacher or instructor.
All the collected information is stored on a server. Variants of the exercises were provided to extent the Neuropsi options. Then, it is evaluated both attention and concentration on the subject during the solution of the exercises. The goal is to provide the test to several users simultaneously on their own mobile devices. As for overcoming this difficulty, the process has been automated through the development of software.
Considering the use of this test as an assessment of students' cognitive abilities in a class, the time required for application and evaluation is a challenge itself. Currently, specialists perform this test by observing, measuring time, and taking notes of the process to obtain the final scores. This article presents mobile computing to administer a battery of cognitive tests based on a standard neuropsychological assessment of attention and concentration derived from Neuropsi ©. The educational trend toward personalized learning requires the teacher to monitor the learning process continuously.
#TEST CASE APACHE JMETER PRO#
Pro Apache JMeter covers almost every aspect of Apache JMeter in detail and includes helpful screenshots and a case study. This step-by-step guide covers what you will need to know to write and execute test scripts, and verify the results.
#TEST CASE APACHE JMETER SOFTWARE#
This guide and video walks you through running your first JMeter test on Redline13.Quickly ramp up your practical knowledge of Apache JMeter for software performance testing and focus on actual business problems. Apache JMeter is one of the most popular tools for load testing and scaling out your JMeter test plan on the cloud in RedLine13 is easy. By the way, don’t forget to disable Debug Sampler when scaling your load test.Īfter completing the test plan you are ready to run this script as you would with any JMeter script using Redline13 or local testing.
#TEST CASE APACHE JMETER HOW TO#
We have shown how to use Debug Sampler for inspecting our variables in the test execution.
In our example, we have covered how to do JMeter Load Testing with a JSON payload for API testing and extract JSON data from the response. Debug Sampler should then be disabled from the test plan because of the impact it can have on the load agent.Īfter executing the test again we are able to extract the data variable thanks to the Debug Sampler. However, it is not recommended when executing a heavy testing load. It’s a very useful Sampler for debugging and should be included in all JMeter scripts when developing the test plan. We are adding Debug Sampler to be able to inspect our variable. It is easy to extract the data from the response using JSON Extractor Post Processors.Īfter adding the JSON Extractor, we need to set in the configuration the specific data we want to extract. In our example we are trying to fetch alarm information from the IOT system rest service.Īfter executing our test we will get the response to our request from the server below. We then put the JSON payload into the Body Data section of our HTTP Request Sampler. First, we need to add HTTP Header Manager into our HTTP Request in order to set Content-Type as application/json. To perform sending the JSON payload we need a different configuration. This post will show how to do JMeter Load Testing with a JSON payload. Currently, the most popular approach for API testing is to send a JSON payload file instead of using data with parameters.
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