Performance is an important quality characteristic for many applications, ranging from web applications to applications running on mobile platforms. Having good performance is an essential part of providing a good user experience.
Technically, performance efficiency is categorized in the ISO25010
Product Quality Model as a non-functional quality characteristic with the three subcharacteristics described below. Proper focus and prioritization depends on the risks assessed and the needs of the various stakeholders. Test results analysis may identify other areas of risk that need to be addressed.
Microfocus LoadRunner is the industry standard performance testing tool. You can use LoadRunner to test the performance of static and dynamic resources.
You can use LoadRunner to test the performance of static and dynamic resources.
LoadRunner can be used to simulate load on a server, group of servers, network or object to test its strength and analyze overall performance under different load types.
This training provides a practical, interactive learning experience with incremental lessons and labs that build upon one another.
Understand the principles of performance testing
Understand the different types of performance testing
Understand the concept of load generation
Typical performance issues highlighted
Pre-requisites for running performance tests
Typical protocols that may be used in an application and where they fit in the OSI stack
Create a performance test plan for a project
Create typical user scenarios
Set up test environment and metrics collection
Define the metrics to be collected
Create performance test scripts using LoadRunner
Correlate dynamic data in recorded test scripts
Create data store for data-driven tests
Create performance test scenarios by combining test scripts to model specific set of users
Verify if the scenarios can be run with the right set of data
Create data store for data-driven tests
Use synchronization points in scenarios
Run performance scenarios and monitor them
Capture results and output into logs
Analyse them and create a performance test report
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