Mutation testing evaluates how well a test suite detects intentionally injected faults. By creating targeted mutants—such as arithmetic, boundary, boolean, conditional, and array variants—and running a test set against them, teams can see which faults are detected and which survive. Surviving mutants guide focused improvements to tests, increasing confidence in software correctness and robustness.
Modeling based on the Author's Perspective
| Entity | Description |
|---|---|
| Program | Container for the software under test, representing the original, unmodified implementation. |
| Normal Program | The baseline implementation used as the reference for correctness and expected behavior. |
| Mutant | An intentionally modified version of the program created to simulate faults and evaluate test effectiveness. |
| Arithmetic (Mutant subtype) | Mutations that alter arithmetic operations or numeric expressions to introduce calculation faults. |
| Boundary (Mutant subtype) | Mutations that change boundary conditions or limit checks to expose edge-case weaknesses. |
| Boolean (Mutant subtype) | Mutations that flip or modify boolean expressions to test logical correctness. |
| Conditional (Mutant subtype) | Mutations that alter conditional branches or predicates to challenge control-flow handling. |
| Array (Mutant subtype) | Mutations that modify array indexing, lengths, or element access to reveal collection-related faults. |
| Test | A single test case or assertion applied to a program or mutant to check expected behavior. |
| Not Survive | Test outcome where a mutant is detected (killed) because the test fails on the mutated program. |
| Survive | Test outcome where a mutant is not detected because the test still passes despite the mutation. |
| Test Set | A collection of tests executed against the program and its mutants to measure detection capability. |
| Analyze and Improve | Process of reviewing surviving mutants and test results to refine or add tests for better coverage. |
Use surviving mutants as a prioritized checklist: analyze why they survive, strengthen or add targeted tests, and iterate until the test suite reliably detects realistic faults.
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