Java Unit Testing

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 by leveraging AI to analyze the source code and generate unit tests to optimize code coverage. Jtest saves users time by creating multiple test cases per method to ensure various code paths are sufficiently covered.

Next, Jtest helps the user initialize and isolate the unit under test, recommending mockable objects (leveraging open-source mocking frameworks such as Mockito), 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, mocking, and even assertions, 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.

Easier maintenance of unit testing best practices

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 Jtest automatically determines when assertions are no longer valid and provides quick fixes to replace the code with correct assertions.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.

Since Jtest also comes with a powerful static analysis engine, users can leverage built-in rulesets that automate checking for JUnit coding standards best practices in addition to the other code scanning they perform.  This helps teams maximize the value of their unit testing practice.

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 again. This workflow can be used in the IDE as well as the CI process.

Runtime analysis for unit testing

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.