Parasoft Captures Microservices Code Coverage With AI-Powered Software for Faster DevOps Workflows

Parasoft, a global leader in automated software testing solutions announces the latest release of its AI-powered API testing solution with the innovative addition of unified code coverage reporting, which improves the visibility of application coverage across distributed systems for users of Parasoft SOAtest, Virtualize, and CTP Version 2023.1.

With enhancements to measure and analyze software code coverage, DevOps teams can expect fast, efficient, and accurate verification workflows with a software testing platform that leverages artificial intelligence.

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Parasoft at the STAREAST event in Orlando on May 3 and 4. The company will be showcasing the new release and how DevOps teams can streamline their complex microservices testing processes with AI-powered API test automation. More new capabilities in this release include:

• Simplified workflows and unified reports for code coverage so QA testers can measure code coverage without needing access to source code
• Collection and reporting of code coverage for distributed microservices in end-to-end test case scenarios
• Creation of audit trails for modified test files and virtual assets
• File-based correlation of requests and responses for virtual services

By harnessing artificial intelligence integrated into its software testing solutions, Parasoft provides a more productive way for software developers and testers to identify and remediate code issues before they can be released to production.

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Chief Product Officer of Parasoft Igor Kirilenko states, “Parasoft has already successfully applied artificial intelligence and machine learning to multiple aspects of software testing to optimize test creation, execution, and maintenance, for which we have been recognized as a Continuous Testing Leader in five consecutive Forrester Wave reports. In response to customer feedback, we continue to invest in our Continuous Quality Platform to improve usability and increase visibility of code coverage and test reporting in complex end-to-end verification scenarios.”

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