Test Impact Graph
Test Impact Graph governs selective rerun analysis, shaping system behavior under specific failure modes and workloads.
Definition
Test Impact Graph is a design property concerning selective rerun analysis. It defines how the system behaves under specific conditions — what guarantees hold, what trade-offs apply, and how the mechanism interacts with related techniques. The property is only meaningful when its preconditions are met; outside those conditions it provides no benefit and may add cost.
Context and scope
Apply Test Impact Graph when designing systems where selective rerun analysis matters. It is most useful under partial failure, high load, or correctness requirements. Pair it with observability to verify the claimed behavior in production. Do not assume the property holds without testing the specific configuration and workload.
Common misconceptions
- Test Impact Graph eliminates all problems in its domain — it only bounds or shapes specific failure modes, not all pathologies.
- Test Impact Graph is free once you adopt the right tool — the property depends on configuration, workload, and failure pattern, not the product label alone.
Anti-patterns
- Enabling Test Impact Graph without measuring its cost in latency, availability, or operational complexity under production-like conditions.
- Assuming Test Impact Graph composes safely with other guarantees — combining mechanisms can introduce new failure modes or negate benefits.
Related concepts
Authoritative source
What it is
Test Impact Graph is a design property concerning selective rerun analysis. It defines how the system behaves under specific conditions — what guarantees hold, what trade-offs apply, and how the mechanism interacts with related techniques. The property is only meaningful when its preconditions are met; outside those conditions it provides no benefit and may add cost.
When to use
Apply Test Impact Graph when designing systems where selective rerun analysis matters. It is most useful under partial failure, high load, or correctness requirements. Pair it with observability to verify the claimed behavior in production. Do not assume the property holds without testing the specific configuration and workload.
Common misconceptions
- Test Impact Graph eliminates all problems in its domain — it only bounds or shapes specific failure modes, not all pathologies.
- Test Impact Graph is free once you adopt the right tool — the property depends on configuration, workload, and failure pattern, not the product label alone.
Anti-patterns to avoid
- Enabling Test Impact Graph without measuring its cost in latency, availability, or operational complexity under production-like conditions.
- Assuming Test Impact Graph composes safely with other guarantees — combining mechanisms can introduce new failure modes or negate benefits.
Related concepts
- Test Impact Analysis (test-impact-analysis)
- Regression Suite (regression-suite)