Ewald Verhoeven
Test-reduction - Doing more with less
#1about 2 minutes
Why developers often view unit testing as a chore
Unit testing is often treated like a necessary but undesirable task, which raises the question of when enough testing has been done.
#2about 3 minutes
Distinguishing between code coverage and test coverage metrics
Code coverage is a quantitative metric measuring how much source code is executed, while test coverage is a qualitative metric assessing how well tests cover possible scenarios.
#3about 3 minutes
Using mutation testing to measure test suite quality
Mutation testing automatically introduces small bugs (mutants) into source code to verify that the existing test suite can detect and "kill" them.
#4about 3 minutes
Applying basic test design with the error guessing technique
Error guessing is an intuitive, experience-based technique that is good for covering happy paths but often misses important edge cases.
#5about 3 minutes
Structuring tests with the decision table technique
The decision table technique systematically covers all combinations of input conditions but becomes impractical as the number of conditions grows exponentially.
#6about 7 minutes
Generating effective test cases with property-based testing
Property-based testing generates a wide range of test inputs automatically by describing data properties rather than specifying concrete examples, excelling at finding edge cases.
#7about 2 minutes
Prioritizing test efforts using risk-based testing
Risk-based testing helps teams decide how much testing is sufficient by estimating the probability and impact of potential failures to focus efforts on high-risk areas.
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