Parasoft’s Jtest provides users with AI assistance to help make unit testing easier and faster. Users can easily generate, augment, and reuse unit tests, while optimizing the execution of those tests, to substantially reduce the amount of time and cost associated with unit testing. Jtest users report creating JUnit test suites twice as fast, meeting coverage targets while building a comprehensive, meaningful, and maintainable suite of JUnit test cases, and releasing with confidence.
Parasoft Jtest helps teams accelerate the adoption of unit testing as a best practice and scale it across the organization. Jtest’s revolutionary approach to unit testing is designed to be easy to use, reducing the time and effort of unit testing by more than 50%, from creation to maintenance. The infused AI helps take some of the burden of the unit testing process off of the developer, automatically identifying coverage gaps and helping users increase their code coverage metrics, with automatic recommendations and quick fixes.
With automated AI assistance, unit testing best practices are more approachable for the entire team, giving novice unit testers a better understanding of what the test is doing, and helping expert unit testers save time and effort creating tests that are meaningful and test the true functionality of the code, with valid assertions.
Jtest leverages commonly-used open-source technologies, such as JUnit, Mockito, and PowerMock, to easily fit into your development environment and make it easy to create, maintain, and execute tests. Since it’s not a vendor-locked unit testing solution, it’s easier to adopt, integrate, and scale as a solution.
Parasoft Jtest goes beyond just automatically creating unit tests, by providing unit test runtime analysis for each unit test execution, making it easier for users to debug and maintain their tests. Jtest provides a list of impacted unit tests, to help users understand the effects of change, and save time while being more productive in their unit testing, resulting in higher code coverage metrics and better-quality software.
Parasoft Jtest provides automated tooling to support the unit testing process, helping users be more efficient creating, mocking, asserting (validating), and executing unit tests, with one-click actions and recommendations in the IDE. Jtest goes beyond creating a basic skeleton and lays the groundwork for the user by leveraging AI to analyze the source code and generate unit tests to optimize code coverage.
Next, Jtest helps the user initialize and isolate the unit under test, recommending mockable objects (leveraging open source mocking frameworks such as Mockito and PowerMock), using object factories, and guiding the user through object initialization.
Jtest helps users validate tests by automatically inserting assertions into the JUnit test. Jtest can determine if an assertion is present or not, and if not, Jtest can track the method under test and recommend the correct assertions to add. The created unit tests can then be executed and integrated into an existing CI process as any other JUnit.
Jtest identifies areas of untested code and provides recommendations for how to cover it. Then, with quick-fix actions, Jtest can clone and mutate existing tests to cover the untested code.
Jtest’s one-of-a-kind bulk generation capability enables users to bulk generate unit tests for an entire project, package, or class, automatically performing all the groundwork, set up, and even mocking, giving the user a jump-start on their unit test suite. The user simply adds in additional business logic to the test and executes them.
Jtest helps users create parameterized tests, setting up the initial unit test code with parameter values stored in code or in an external CSV file to data drive the test with additional use-cases. This method results in more code paths being covered while reducing the number of unit tests needed.
Parasoft Jtest makes maintaining unit tests less of a burden by making it more automated. Jtest automatically determines when assertions are no longer valid, and provides quick fixes to replace the code with correct assertions. Jtest also helps identify instabilities in the test environment and provides recommendations on how to resolve these issues.
With its AI, Jtest correlates source code changes in the development environment with the entire JUnit test suite and performs test impact analysis. This benefits users by enabling them to automatically execute only the unit tests that were affected by their source code changes, rather than having to run the entire suite of tests over and over again. This workflow can be used in the IDE as well as the CI process.
Parasoft Jtest provides much more than other unit testing tools. During unit test execution, Jtest generates a call trace for each unit test and analyzes the tests as they run, inspecting the code, collecting data, and looking at variables and how they change, along with assertions. Based on this analysis, Jtest identifies errors and failures and gives the user automatic recommendations to correct these problems. This works for any JUnit test, regardless of whether or not it was created with Parasoft Jtest.
By leveraging Jtest to perform debugging and maintenance, users save time and effort and can focus on the regression, speeding up the entire unit testing process, and helping overall productivity.