Testing and QA Strategy

Overview

Comprehensive testing strategies covering integration testing, data quality testing, user migration testing, and user acceptance testing. These strategies validate Salesforce configurations, integrations, and portal functionality across multiple environments.

Integration Testing

Connectivity Testing

Pattern: Test connectivity between all integration layers

Implementation:

Data Transformation Validation

Pattern: Validate data transformation and mapping at each layer

Implementation:

Error Handling Validation

Pattern: Test error handling and retry logic for transient failures

Implementation:

Performance Testing

Pattern: Performance test high-volume integration scenarios

Implementation:

Data Quality Testing

Data Quality Tool Behavior

Pattern: Validate data quality tool behavior with realistic test data

Implementation:

Matching and Deduplication

Pattern: Test matching and deduplication logic

Implementation:

Error Capture and Troubleshooting

Pattern: Validate error capture and troubleshooting capabilities

Implementation:

User Migration and Login Handler Testing

User Migration Flows

Pattern: Test user migration flows for all user types

Implementation:

Login Handler Flows

Pattern: Test login handler flows for all identity providers

Implementation:

Identity Mapping Validation

Pattern: Validate identity mapping logic

Implementation:

User Acceptance Testing (UAT)

UAT Test Instructions

Pattern: Create step-by-step UAT test instructions for business users

Implementation:

Business Process Validation

Pattern: Validate business processes end-to-end

Implementation:

UAT Coordination

Pattern: Coordinate UAT with business stakeholders

Implementation:

Test Environment Management

Environment Strategy

Environments:

Test Data Management

Pattern: Use realistic test data that mirrors production scenarios

Implementation:

Environment-Specific Configuration

Pattern: Validate environment-specific configuration

Implementation:

Test Class Anti-Patterns and Security

Test Class Security Anti-Pattern

When NOT to do: Including test classes in permission sets or profiles accessible to end users.

Why it’s a problem: Test classes can expose test logic, data, and potentially sensitive information to unauthorized users. This is a security risk and violates best practices.

Real example: Found test classes (CommunitiesLandingControllerTest, CommunitiesLoginControllerTest) in permission sets during code review. Removed them immediately.

Prevention:

Test Class Design Anti-Patterns

Anti-pattern: Using @SeeAllData

Anti-pattern: Single-record tests

Anti-pattern: Testing only successful scenarios

Anti-pattern: Complex logic in Test.startTest() blocks

Test Coverage Requirements

Code Coverage

Standards:

Integration Test Coverage

Coverage:

UAT Coverage

Coverage:

Best Practices

Integration Testing

Data Quality Testing

Identity and User Migration Testing

User Acceptance Testing

Test Data Management

Test Class Design Best Practices

Design for testability from the start:

Test integration error scenarios:

Tradeoffs

Advantages

Challenges

When to Use This Strategy

Use this testing strategy when:

When Not to Use This Strategy

Avoid this strategy when:

Q&A

Q: What types of testing should I include in a comprehensive testing strategy?

A: Include: (1) Integration testing (connectivity, data transformation, error handling), (2) Data quality testing (data validation, completeness, accuracy), (3) User migration testing (login handlers, identity provider integration), (4) User Acceptance Testing (UAT) (business user validation), (5) Unit testing (Apex test classes), (6) Performance testing (load, stress testing), (7) Security testing (access controls, vulnerabilities).

Q: How do I test integrations with external systems?

A: Test integrations by: (1) Testing connectivity (Salesforce → MuleSoft → external APIs, verify network, authentication), (2) Validating data transformation (DataWeave in MuleSoft, field mappings, data types), (3) Testing error handling (retry logic, error messages, error logging), (4) Testing end-to-end flows (complete integration scenarios), (5) Testing with realistic data (production-like test data), (6) Monitoring integration health (track success/failure rates).

Q: What is data quality testing and why is it important?

A: Data quality testing validates data completeness, accuracy, consistency, and validity. It’s important because: (1) Poor data quality causes business issues, (2) Integration failures often due to data quality, (3) User experience depends on data quality, (4) Compliance requires data quality. Test: data validation rules, required fields, data formats, data relationships, duplicate detection.

Q: How do I test user migration and login handlers?

A: Test user migration by: (1) Testing login handlers (OIDC, SAML, organization tenant), (2) Testing user creation (first-time login, pre-created contacts), (3) Testing duplicate prevention (matching on GUID, email), (4) Testing identity mapping (external IDs to Salesforce records), (5) Testing error scenarios (failed authentication, missing contacts), (6) Testing with real identity providers (test environments).

Q: What should be included in User Acceptance Testing (UAT)?

A: Include in UAT: (1) Business process validation (end-to-end business processes), (2) User-facing functionality (all user-facing features), (3) Role-based testing (test with different user roles), (4) Real-world scenarios (actual business scenarios), (5) Feedback collection (structured feedback, issue tracking), (6) Documentation (UAT results, findings), (7) Issue resolution (address findings before production).

Q: How do I manage test environments?

A: Manage test environments by: (1) Providing appropriate environments (sandboxes for different test types), (2) Refreshing test data regularly (maintain data quality), (3) Isolating test data between environments, (4) Creating test data factories (consistent test scenarios), (5) Documenting test data requirements, (6) Coordinating environment access (schedule testing windows), (7) Maintaining environment parity (keep environments similar to production).

Q: What are test class anti-patterns to avoid?

A: Avoid: (1) Using @SeeAllData (makes tests dependent on org data), (2) Not bulkifying tests (test with single records only), (3) Missing assertions (tests that don’t verify results), (4) Hard-coded IDs (tests that break when IDs change), (5) Testing implementation details (test behavior, not internals), (6) Not testing error scenarios (only test happy path), (7) Poor test data setup (inconsistent, incomplete test data).

Q: What test coverage requirements should I enforce?

A: Enforce: (1) Minimum 75% coverage for deployment (Salesforce requirement), (2) Target 90%+ coverage for quality (best practice), (3) 100% coverage for critical code (high-risk code), (4) Meaningful coverage (not just hitting lines, but testing behavior), (5) Coverage for all code paths (positive and negative scenarios), (6) Integration test coverage (test integrations, not just unit tests).

Q: How do I test security in my testing strategy?

A: Test security by: (1) Testing access controls (profiles, permission sets, FLS), (2) Testing sharing rules (data visibility, record access), (3) Testing authentication (login handlers, SSO), (4) Testing authorization (who can access what), (5) Security scanning (vulnerability scanning, code review), (6) Penetration testing (manual security testing), (7) Compliance testing (GDPR, HIPAA requirements).

Q: What are best practices for testing strategy?

A: Best practices include: (1) Test early and often (include testing in development cycle), (2) Test with realistic data (production-like test data), (3) Automate testing (CI/CD integration), (4) Test all scenarios (positive, negative, edge cases), (5) Coordinate testing (schedule testing windows with stakeholders), (6) Document test results (comprehensive documentation), (7) Iterate based on findings (improve testing based on results).