Parasoft announced recently the latest release of Parasoft SOAtest, featuring machine learning techniques that augment SOAtest's Smart API Test Generator, to help testers create API test scenarios using AI and ML. The newest SOAtest release aims to improve the test creation process by enabling users to leverage their organizations' existing test inventories and train SOAtest's artificial intelligence engine using machine learning, so it can create API test templates automatically. This enables organizations to build a foundation of tests to increase API coverage and scale their API testing practice.
The introduction of SOAtest's Smart API Test Generator in May gave organizations the ability to automatically create API test scenarios by using artificial intelligence to understand how their APIs are being used as their applications are exercised from the UI, and today's release takes that a step further.
The new release bolsters AI-driven test creation with machine learning. Users can train SOAtest's Smart API Test Generator to create test scenarios based on organization-specific rules that define how their organization tests their business logic. By adding this additional logic into the traffic parsing process, Parasoft SOAtest learns the relationships between different test steps to intelligently connect them together into scenario-based regression suites. Leveraging this technology ensures that API test inventories will be efficient, consistent, and change-resistant.