Following are the most important tools used for both functional and regression testing in software engineering:. Avo Assure is a technology agnostic, no-code test automation solution that helps you test end-to-end business processes with a few clicks of the buttons.
This makes regression testing more straightforward and faster. Test Studio helps teams eliminate regressions and make sure their applications still work the way they did before any changes were introduced. Selenium : This is an open source tool used for automating web applications. Selenium can be used for browser-based regression testing. It uses VBScript language for automation.
It is a Data-driven, Keyword based tool. This is primarily used for automating regression test cases and it also integrates with Rational Test Manager. Configuration Management during Regression Testing becomes imperative in Agile Environments where a code is being continuously modified. To ensure effective regression tests, observe the following :. Retesting means testing the functionality or bug again to ensure the code is fixed.
If it is not fixed, Defect needs to be re-opened. If we change the Mock annotation of rectangleService to Spy , and also make some code changes as shown below then in the results we would actually see the logs getting printed, but the method area will be mocked.
That is, the original function is run solely for its side-effects; its return values are replaced by mocked ones. From what we learned above, the test code of a controller for our example would be something like the below:.
Looking at the above controller test code, it works fine, but it has one basic issue: It only tests the method call, not the actual API call. All those test cases where the API parameters and status of API calls need to tested for different inputs are missing. It also has some special matchers like status and content which make it easy to validate the content. First, we need to instantiate all the beans, the same stuff that happens at the time of Spring context initialization during application startup.
Everything else remains the same. In other words, the actual business logic runs. This does not mean that there is no mocking of method calls or database calls available in integration testing.
In the above example, there was no third-party service or database used, hence we did not need to use mocks. Often what stops back-end developers in writing unit or integration tests is the test data that we have to prepare for every test.
For example, if we are expecting a mocked object to return another object, when a function is called on the mocked object we would do something like this:. This is fine in the above JUnit examples, but when the member variables in the above Class1 class keep on increasing, then setting individual fields becomes quite a pain.
Sometimes it might even happen that a class has another non-primitive class member defined. Then, creating an object of that class and setting individual required fields further increases the development effort just to accomplish some boilerplate.
This is a one-time effort of creating a JSON file and adding values to it. Any new tests after that can use a copy of that JSON file with fields changed according to the needs of the new test. Hopefully, our approach here saves developers time in figuring out the correct way to mock and which test runner to use. Irrespective of the language or framework we use—perhaps even any new version of Spring or JUnit—the conceptual base remains the same as explained in the above JUnit tutorial.
Happy testing! JUnit is the most famous framework for writing unit tests in Java. You write test methods that call the actual methods to be tested. The test case verifies the behavior of the code by asserting the return value against the expected value, given the parameters passed. The majority of Java developers agree that JUnit is the best unit testing framework.
This is how JUnit knows what to do with the processing section of code. In our example case, we have an Test annotation, which tells JUnit that the public void method to which it is attached can be run as a test case. Here we construct a new instance of our class object. This is necessary so we can call the method we are testing on something.
Without this object instance, we cannot test the method. Variables associated with the method need to be established, so here we declare variables corresponding to our method.
These should be given meaningful values note: if a parameter is an object, one can instantiate it, or mock it , so that our test has meaning.
We assign the results of our method being tested to this variable, using it as needed for assertions and such. The assert methods which are part of the org. Only failed assertions are recorded.
Like with annotations, there are many assert options. In our example JUnit above, we use assertEquals expected, actual, delta. This takes in the expected outcome , which the user defines, the actual , which is the result of the method being called, and the delta , which allows for implementing an allowed deviation between expected and actual values.
The purpose of an assertion is validation. Although not required to run your JUnit, failing to add assertions arguably defeats the purpose of your test. Without assertions, you have no verification and at most a smoke test, which gives feedback only when test errors out. This allows for the execution of multiple Test Cases in one go. As such, the above was manually created as a normal Java class, with the logic manually added following JUnit 4 framework. The full source code for all the objects related to this article module under test, testing class, test case and input files are provided in the following GitHub repository.
GitHub -equalize-xpi-tester. As shown in this article, the standalone NWDS testing approach can be extended with JUnit to incorporate automated regression testing. With such testing, it provides confidence whenever changes are introduced to an existing adapter module. The testing can also be executed very fast once all the Test Cases are written. As an example shown in the screenshot below, 30 test scenarios were executed in just over 2 seconds, and it is possible to quickly identify any failures for further analysis and troubleshooting.
This would have taken a much longer time and effort if it were performed manually either via standalone NWDS testing or end-to-end testing on the server. Unit Testing with JUnit — Tutorial. Skip to Content. Eng Swee Yeoh. February 5, 6 minute read. Introduction Sometime ago, I blogged about Standalone testing of Adapter Module in NWDS to introduce an approach that enables developers to perform basic unit testing on custom adapter module developments.
Overview of Approach The approach described here is in part based on the standalone testing approach described in my previous blog. Adapter Module This will be the class that implements the adapter module logic. Testing Class The testing class used in the standalone testing approach has been refactored to enable for this JUnit testing approach. JUnit Test Case This class represents the test script involved in a particular test case.
Input Files These are input files to each test case. Following are the explanation of the key parts of the JUnit test case.
0コメント