Build Verification Test
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A Build Verification Test is a preliminary software test that can be performed by a build verification testing method to verify basic software build functionality.
- AKA: Smoke Test, Build Acceptance Test, Confidence Test, Sanity Check.
- Context:
- It can typically verify Core Build Functionality through minimal test execution.
- It can typically ensure Software Build Stability through critical path testing.
- It can typically detect Major Build Defects through shallow test coverage.
- It can typically validate Build Deployment Readiness through environment verification checks.
- It can typically confirm Basic Build Integration through primary interface tests.
- ...
- It can often precede Comprehensive Build Testing through test suite gatekeeping.
- It can often enable Early Build Defect Detection through rapid feedback cycles.
- It can often support Continuous Integration Pipelines through automated build verification.
- It can often reduce Build Testing Costs through early failure identification.
- ...
- It can range from being a Manual Build Verification Test to being an Automated Build Verification Test, depending on its build verification test execution method.
- It can range from being a Minimal Build Verification Test to being a Comprehensive Build Verification Test, depending on its build verification test coverage scope.
- It can range from being a Quick Build Verification Test to being a Thorough Build Verification Test, depending on its build verification test depth level.
- ...
- It can serve as Software Build Acceptance Criteria for build promotion decisions.
- It can include Installation Verification Tests for deployment readiness assessment.
- It can validate Critical User Journeys for essential functionality assurance.
- It can test System Startup Procedures for initialization verification.
- It can check Database Connectivity for data access validation.
- ...
- Example(s):
- Web Application Build Verification Tests, such as:
- Cloud System Deployment Build Verification Tests, such as:
- Mobile Application Build Verification Tests, such as:
- AI System Build Verification Tests, such as:
- LLM Service Build Verification Tests, such as:
- LLM Model Loading Build Verification Test for transformer model initialization verification.
- LLM Tokenizer Build Verification Test for text preprocessing pipeline verification.
- LLM Inference Endpoint Build Verification Test for generation capability verification.
- LLM Context Window Build Verification Test for input length handling verification.
- Computer Vision System Build Verification Tests, such as:
- Image Model Loading Build Verification Test for CNN initialization verification.
- Image Preprocessing Pipeline Build Verification Test for normalization verification.
- Object Detection Endpoint Build Verification Test for detection capability verification.
- GPU Memory Allocation Build Verification Test for visual processing resource verification.
- ML Pipeline Build Verification Tests, such as:
- Feature Engineering Pipeline Build Verification Test for data transformation verification.
- Model Registry Connection Build Verification Test for model versioning verification.
- Batch Prediction Pipeline Build Verification Test for bulk inference verification.
- Model Monitoring Integration Build Verification Test for observability verification.
- AI Agent System Build Verification Tests, such as:
- Agent Environment Initialization Build Verification Test for runtime setup verification.
- Agent Tool Integration Build Verification Test for capability access verification.
- Agent Memory System Build Verification Test for state management verification.
- Agent Orchestration Pipeline Build Verification Test for workflow execution verification.
- LLM Service Build Verification Tests, such as:
- Continuous Integration Build Verification Tests, such as:
- ...
- Counter-Example(s):
- Regression Tests, which perform comprehensive functionality verification rather than basic build functionality checks.
- Unit Tests, which test individual software components rather than integrated build functionality.
- Integration Tests, which verify detailed component interactions rather than basic build operation.
- Performance Tests, which measure system performance metrics rather than build functional readiness.
- User Acceptance Tests, which validate business requirement compliance rather than build technical stability.
- AI Model Evaluation Tests, which measure model accuracy metrics rather than build deployment readiness.
- AI Robustness Tests, which assess adversarial input handling rather than basic build functionality.
- See: Build Verification Testing Method, Software Test, Build Verification, Continuous Integration, Test Automation, Software Quality Assurance Task, AI System Testing, ML Pipeline Testing.