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Pairwise Configuration Design for Software Testers


A one-day collaborative course to introduce software testers to pairwise design techniques for test configurations

One Day

Max 24 attendees

Classroom or Online

analysis, estimates, infrastructure, models, operating-systems, regression-testing, requirements, risks, test-cases, test-design, testing-tools, test-plans, test-reporting

By the end of this course, you'll be able to:

  • Describe how configuration designs cover the pairwise interactions of test factors
  • Explain how pairwise designs can improve test efficiency by using a small number of configurations
  • Use an online, automated pairwise design tool to generate configurations and report on their coverage
  • Use test combination maps to assess test interaction coverage
  • Describe how basic blocks specify valid test cases with simple constraints
  • Design test configurations to cover all valid pairs of test values


How much testing is enough? Testers need to know. You can identify risks, but you don’t know where the faults are until you find them. 

Pairwise test design will not answer this question. But it can help you cover more test interactions than designs based on random selection or guessing. This means you may be able to use fewer test configurations, or find faults with fewer test cases, or find faults you would have missed. 

Covering more interactions means your test configurations are more efficient at pairing the test values you choose for your test design. And if you can use fewer configurations, you may save money on equipment and time for set-up.

This course is for students with basic software development and testing skills. Test case generation will be provided for the course without charge by Testcover.com. A browser with internet access is required.

Meet the Instructor



General Partner

George Sherwood is a longtime advocate for testers and test tools. At Bell Labs he developed CATS, a combinatorial test design tool. It generated test configurations and test inputs in accord with system constraints. AT&T’s test organizations used CATS to improve their test coverage and efficiency. After the Labs he founded Testcover.com, an online service to generate pairwise tests. The designs use a small number of test cases to cover all the interactions between test factors. George has presented papers and talks on test design improvements at numerous conferences and workshops. He is excited about helping MoT advance the practice of test design.

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