Learn how to familiarize testing professionals with the basics of the IBM Rational performance testing tool. Testers can build, enhance, and run scripts in a full-function Java Integrated Development Environment (IDE) that integrates with IBM Rational Software Development Platform products. In addition to class lecture, you will be asked to complete labs to reinforce critical concepts and tool functionality. The focus is on the practical application of Performance Tester to resolve common performance testing challenges. This course focuses on getting started with Performance Tester.

Below is the two days course outline of our trainings:

Course Name: Essentials of IBM Rational Performance Tester, V7.0 (I)
Duration: 2 days
Skill Level: Basic


This is a basic course for software testers


To benefit from this course, you should have the following skills or experience:

  • Java and Web applications
  • Applications for the Microsoft® Windows® operating system
  • And familiarity with the following:
    • System administration
    • Database administration
    • Network administration
    • Web administration
  • And should have completed the following course:
    • Principles of Test Automation for GUI Testing (TST110)

Skills taught:

Upon completion of the course, you will be able to:

  • Recall performance testing basics and document your plan for performance testing using a Workload Analysis Document
  • Explore a training application (system under test) and exercise it in conjunction with Rational Performance Tester
  • Use Rational Performance Tester to
    • Create, run, and modify performance tests
    • Manage test data using datapools and data correlation
    • Enhance tests with verification points, loops, and custom code
    • Design and enhance workload scenarios and schedules
    • Monitor test execution and analyze results

Course outline:

This course covers the following topics:

  • Testing process and testing concepts
  • Introduction to Performance Testing
  • Recording and playing back tests
  • Datapools and data correlation
  • Creating and monitoring test schedules
  • Analyzing test results
  • Large system test considerations