View Categories

AI-Generated Tests

2 min read

Automatic Test Case Generation – Shift Left API  #

Shift Left API leverages AI-powered intelligence to automatically generate optimized API test cases, reducing manual effort while ensuring comprehensive coverage across all supported APIs. 

 

Purpose : #

  • Minimize manual test creation and human error. 
  • Ensure complete coverage of endpoints and scenarios, including edge cases. 
  • Enable quick onboarding for new APIs or features without writing code. 

 

How AI Creates Test Cases : #

  1. API Spec Analysis: 
    1. AI reads imported API specifications (Swagger/OpenAPI, Postman, etc.) and identifies endpoints, methods, parameters, and response structures. 
  2. Test Scenario Generation: 
    1. Suggests CRUD operations, edge cases, invalid input scenarios, and parameter permutations
    2. Includes header, query, and body validations automatically. 
  3. Intelligent Learning: 
    1. Learns from previous test runs, assertions, and failures to optimize future test suggestions. 
    2. Detects potential gaps in coverage and proposes additional test cases. 
  4. Custom Test Adjustments: 
    1. Users can accept, edit, or discard AI-suggested test cases. 
    2. Enables alignment with business rules or special workflows

 

Supported API Formats  #

  • REST APIs: Full CRUD support with JSON/XML payloads. 
  • GraphQL APIs: Query and mutation validations. 
  • SOAP APIs: WSDL integration with request-response assertions. 
  • Custom APIs: Flexible support for proprietary or non-standard APIs using parameter definitions and templates. 

 Tip: Ensure API specifications are well-defined and up-to-date to maximize AI-generated test quality. 

 

Test Case Library Management  #

  • Centralized Repository: All auto-generated and manually created test cases are stored in a project-wide library
  • Reusability: Test cases can be reused across features, endpoints, and environments
  • Version Control: Track changes, updates, and rollback test cases as APIs evolve. 
  • Tagging & Search: Organize test cases by feature, endpoint, or scenario type for easy retrieval. 

 

Workflow Example 

  1. Import API spec into ApiSpec module
  2. AI automatically generates suggested test cases. 
  3. Review and refine test cases in TestCase module
  4. Assign test cases to endpoints and configure environments using TestConfigurations
  5. Execute via TestRun or TestRunPack and analyze results. 

 

Summary 

Automatic Test Case Generation in Shift Left API accelerates API testing by combining AI intelligence, test library management, and multi-format support. Teams can quickly validate APIs with minimal manual effort, maintain high-quality coverage, and continuously improve tests with AI learning from execution history.