In the case of code coverage, the measurement metric is the percentage of code that is tested through test cases/test suites. Hence, the test results can be quantified i.e. Out of 100 LOC (Lines of Code), the code coverage was 80 lines. This means that the code coverage is 80%. The results of test coverage cannot be quantified since the tests are performed to verify the functional requirements. You can also come up with black-box tests that can test more than one requirement in a single test e.g. In order to test the failure scenario in a simple email login-page, you can write a test case that enters an email address without @ symbol than try to proceed with the login. This would test the functionality of the login page and also check if the logic for verifying the format of the email address is working as per the requirement.
Though there are few instances where you have to write test code for achieving the test coverage requirement, you may still need to use some of the popular test frameworks in some cases. Two of the most popular test frameworks are:
JUnit: JUnit is the unit testing framework for Java. It can also be used for UI testing. It is open-source and considered important in the development of TDD (Test Driven Development). Developers & testers make use of JUnit to write & execute tests that are repetitive. This also makes it a popular framework for regressive testing. Please refer to https://junit.org/junit5/ for more information.
PyUnit: PyUnit (also called as Python Unit Testing Framework) is a widely used testing framework primarily used for unit testing. It is the Python port of JUnit and is used by Python developers who follow the TDD approach. PyUnit supports the development of test cases, test suites, test fixtures, etc. The unittest module is the core of PyUnit framework. Please refer https://docs.python.org/2/library/unittest.html for more information.
Though there are many other tools/test frameworks using which developers/testers can write test code, JUnit & PyUnit are the most popular testing frameworks for their respective programming languages.