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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.
Developers and testers can more easily perform Java unit testing and do it up to two times as fast using AI-enhanced Parasoft Jtest. As a result, teams reduce risks, cut costs, increase productivity, and achieve industry compliance goals.
Java development teams use Jtest to generate entire test suites, augment existing tests, increase code coverage, and optimize test execution for CI/CD pipelines.
Jtest uses AI to automatically generate an optimized suite of meaningful and maintainable test cases complete with mocks and assertions to isolate them for easy testing and remediation. Test suites can be expanded with Jtest’s developer-assisted workflows like quick-fix and bulk actions to increase code coverage.
Teams have the option to use Jtest integration with various LLM providers like OpenAI and Azure OpenAI to analyze and refactor existing JUnit tests based on user-provided natural language prompts. AI-driven Live Unit Testing in the IDE and test impact analysis in CLI execute an optimal set of unit tests to validate specific code changes, reducing the likelihood of build and regression failures and accelerating the testing feedback loop.
Jtest measures the code coverage from unit test execution. Through integration with Parasoft DTP, Jtest contributes to the visibility of the overall code coverage collected from all testing practices, including unit, API, UI, and manual testing. Code coverage can be measured specifically against new and modified code to ensure sufficient coverage even if overall code coverage is low.
90%
Increase in code coverage.
12%
Increase in developer productivity.
