Unit Testing
Unit Testing
Unit Testing is a technique of software testing in which individual units are tested for it’s logical operations. These units are typically functions that perform as expected.
Unit testing helps to identify bugs early in the software development life cycle, and enhances code quality, and reduces the cost of fixing issues later.
In a conventional Software development methodology, the software developer writes the Unit Test Cases. By executing the Unit Testing the software developer confirms the code is working correctly. The software developers have to make sure the Unit Test passes 100%, if any of the test fails, it helps the developer quickly to find and fix the issue.
A good Unit testing practice makes sure the code is modular, better test coverage, and all the code is logically correct and there is no dead code.
Outcome of Unit Testing:
By executing Unit Testing, it’s confirmed that the code works as per the logic the implemented by the developer. It will work for all the possible function inputs and verifying the outputs.
For a 100% Unit Testing coverage several tests are written for a single function to cover different possible scenarios which are called as test cases. It is ideal to cover all expected behaviours, it is a good practice to test every possible scenario.
For a good coverage Unit testing some cases data stubs can be used to simulate these dependencies. Writing unit tests for complete code coverage is a tricky and time consuming activity.
Unit testing strategies
For an effective unit tests, follow these basic rules to ensure all scenarios are covered:
- Logic checks: Verify that in every possible inputs the system performs correct calculations and provides the expected output. Check all possible paths through the code are tested.
- Boundary checks: Test how the code is behaving on all possible boundary cases and invalid inputs. While we work with C/C++ codes we have to deal with various data types. During the Unit Testing we have to make sure that the test cases has been generated for the complete range and data types. For example, if a data type between 2 and 6 is expected, verify how the system performs to a 3 (normal), a 2 (edge case), and a 7 (invalid input).
- Error handling: Execute the tests on how the code handles errors. Does it throw expected error conditions or code crashes or it gives unexpected outputs?
- Object-oriented checks: If the code modifies objects, confirm the object’s state is correctly updated after running the code.
Athrv Cloud’s AU Enabled Unit Testing Platform:
Unit testing plays an important role throughout the software development life cycle, where as the process has to be adopted effectively to give an Optimal result.
Athrv Cloud has developed a very effective way of doing Unit Testing by adopting AI integration with our CICD platform.
The Atharv Cloud’s AI Enabled platform will generate the Unit Test Cases as per the code structure and it will make sure to Achieve the code coverage and Test Coverage up to > 90 % , for a better understanding about our platform, try the platform today.