Combinatorial Black-Box Testing with Classification Trees
A basic problem in software testing often is choosing a subset from the near infinite number of possible test cases. Consider the challenges of testing multiple browsers, multiple mobile devices, mobile applications, or use case paths. Testers must select test cases to design, create, and then execute to obtain sufficient coverage—all while managing the time it takes to test relative to risks. Even though test resources are limited, you still want to select the best possible set of tests. Peter Kruse shares his experiences designing test cases with TESTONA, the most popular tool for systematic test design of classification tree-based tests. Peter shows how to integrate expected test outcomes and how to obtain executable test scripts directly from the test specification or user stories. If you are looking to jumpstart your systematic test design and want to avoid unnecessary tests and overhead, this session is for you!
Software engineer and test consultant Peter Kruse works in the domain of testing, including evolutionary testing and the classification tree method. He is an experienced software developer and tester in the German automotive industry. Peter’s project experience includes hardware-in-the-loop testing, model driven-development, ISO 26262, and evolutionary structural and functional testing. Apart from combinatorial testing, Peter’s focuses on improving the costs and benefits in any test process and related test activity, striving to balance emerging trends and ideas with approved methods.