Take a faster, smarter path to AI-driven C/C++ test automation. Discover how >>
Unit testing enables developers to verify individual component functionality, ensuring each unit behaves as expected. This meticulous assessment detects defects early, enhancing software reliability and stability during development.
Automated unit testing processes make it easier for developers and testers to ensure code reliability, efficiency, and effectiveness. By streamlining testing procedures, developers can swiftly verify functionality, enhancing overall software quality.
Employ advanced automation to generate comprehensive unit test suites quickly, ensuring thorough, robust test coverage and fostering high-quality software.
Seamlessly integrate code coverage tracking with unit testing to rigorously examine every aspect of the codebase and satisfy coverage requirements.
Integrate unit testing with automated regression testing in CI/CD pipelines to quickly identify and resolve issues and accelerate delivery cycles.
Pinpoint essential tests affected by code modifications to expedite testing cycles and improve software reliability with test impact analysis.
Accelerate unit testing with AI-driven capabilities that let developers build test suites effortlessly, adapt to code changes, and automate testing processes.
Leverage GoogleTest, the C++ testing framework your developers prefer, together with Parasoft to meet your full range of testing and verification needs.
Parasoft C/C++test offers a comprehensive unit testing framework for C/C++ software development, providing teams with seamless test creation, execution, and regression capabilities. Easy-to-use features include powerful stubbing and mocking frameworks with a seamless IDE integration, enabling developers to focus on code quality and expedite project delivery.
C and C++ developers and testers use C/C++test to streamline unit testing processes by automating unit test creation, which includes mocks, stubs, and assertions, to effectively isolate the unit under test and ensure flawless test case operation.
Teams utilizing C/C++test can streamline their unit testing practices by using the solution’s Test Case Explorer, intuitive graphical UI, or a user-friendly wizard to effortlessly create or automatically generate unit tests. Automatic stub generation for missing or undefined functions isolates code units eases the testing process. Teams can conduct unit testing at various levels including project, file, and function, with informative views that enable them to quickly identify and resolve issues.
Integration of code coverage seamlessly complements unit testing practices, ensuring thorough test coverage. Teams can execute unit tests on target hardware to meet stringent safety-critical requirements and expand testing into regression testing as part of their CI/CD workflow.
Comprehensive unit test reports aid in satisfying compliance demands, while advanced analytics in collaboration with Parasoft DTP enable interactive reports and seamless bidirectional requirements traceability with ALM/REQ solutions, enhancing overall testing efficiency and effectiveness.
5x
Time and cost savings of code reviews.
Decreased
Time spent writing test cases and performing unit and regression tests.
Build, expand, and maintain Java unit and regression test suites faster with AI-enhanced Parasoft Jtest to boost coverage and confidence in every release.
With AI-enhanced Parasoft Jtest, teams can scale Java unit testing and build effective, more maintainable regression suites while accelerating code coverage. Jtest’s proprietary AI automatically generates meaningful JUnit test cases, complete with assertions, to target uncovered lines of code and help teams rapidly expand their coverage.
Within the IDE, Jtest’s Unit Test Assistant helps you expand test cases with AI-driven recommendations to mock or stub dependencies, parameterize, or clone and mutate test cases for greater coverage and resilience.
Teams can also integrate with various LLM providers to refine and refactor test cases. Jtest also safeguards against regression failures by autonomously generating new unit tests directly in CI/CD pipelines to fill coverage gaps without manual effort.
As code evolves, live unit testing in the IDE and test impact analysis integrated into the CI/CD pipeline automatically executes only test cases impacted by code changes to deliver faster feedback and prevent regression failures.
90%
Increase in code coverage.
12%
Increase in developer productivity.
