Compositional Testing in Python
summary
Compositional testing on Python presents Combidata as a way to replace classic test automation for certain products and features by using combinatorial, multidimensional graphs to generate and manage test cases. It explains how to write tests in Combidata, how test steps and workflow look for a library, simple test-data generation, converting tests to mocks and back, and directions for evolving combinatorial testing and its library.
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chapters (9)
- 0:00Introduction
- 1:25Speaker background
- 4:40Classical testing problems
- 15:29What is compositional testing
- 23:49Combinator structure
- 32:02Data generation patterns
- 34:30Compositional Petri nets
- 38:05Advantages and feasibility
- 42:00Q&A
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