Parasoft, a leader in AI-automated software testing, has upgraded its SOAtest and Continuous Testing Platform (CTP) with agentic AI capabilities and enhanced test impact analysis (TIA) and code coverage for manual testing. These innovations streamline API test generation and improve collaboration across development and QA teams.
Parasoft introduces agentic AI for API test scenario generation in SOAtest.
AI Assistant simplifies complex, multi-step workflow testing without coding.
Test Impact Analysis extends to manual testing for faster regression cycles.
Enhanced code coverage merges automated and manual test data for full visibility.
Reduces technical barriers for testers with diverse skill sets.
Showcased at API Days New York, May 14-15, 2025.
Parasoft’s SOAtest now leverages agentic AI in its AI Assistant to generate API test scenarios, enabling testers to create complex, multi-step workflows using natural language prompts and service definition files. This eliminates the need for scripting or advanced technical skills. “At Parasoft, our innovation has always centered on pragmatic automation that makes it easier for customers to build quality into every release,” said Igor Kirilenko, chief product officer, Parasoft. The AI Assistant generates test data and parameterizes scenarios for data looping, scaling API testing for teams of varying expertise.
The upgraded Parasoft CTP extends code coverage collection to manual testing, allowing QA teams to capture and analyze coverage data from manual test runs. This data integrates with automated test results in Parasoft’s DTP, providing a unified view of application coverage. Teams can identify coverage gaps, eliminate redundancies, and prioritize high-risk areas, enhancing testing efficiency. “Efficiency is key,” said Daniel Garay, director, Software Quality Assurance, Parasoft, emphasizing the importance of comprehensive coverage for maintaining software quality.
Parasoft’s CTP now supports Test Impact Analysis (TIA) for manual testing of Java and .NET applications, pinpointing which regression tests are needed based on application changes. This reduces retesting time, accelerates feedback loops, and strengthens collaboration between development and QA. By focusing on impacted areas, TIA ensures critical test cases are prioritized, minimizing bugs in production and supporting agile sprint cycles.
These advancements position Parasoft as a leader in AI-driven software testing, addressing the need for faster, more intelligent testing strategies. The innovations will be demonstrated at API Days New York on May 14-15, 2025, with a panel session, “Uniting Dev and QA for Faster Releases,” led by Parasoft experts. Additional resources include a product demo, “How to Build API Tests With Just an AI Prompt,” and a blog, “Scaling API Testing with Agentic AI.”
Parasoft’s agentic AI and enhanced testing capabilities empower organizations to achieve higher software quality with reduced effort. By simplifying API testing and providing comprehensive code coverage, Parasoft enables faster, more reliable releases, reinforcing its commitment to pragmatic automation.
Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting the embedded, enterprise, and IoT markets, Parasoft's proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft's award-winning reporting and analytics dashboard provides a centralized view of quality, enabling organizations to deliver with confidence and succeed in today's most strategic ecosystems and development initiatives—security, safety-critical, Agile, DevOps, and continuous testing.
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