An Extensible and Reusable Framework for Mesuring Test Coverage Supporting Multiple Programming Languages

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Test coverage is an important indicator of whether software has been sufficiently tested. However, there are several problems with the existing measurement tools for test coverage, such as their cost of development and maintenance, inconsistency, and inflexibility in measurement. This research proposes a consistent and flexible measurement framework for test coverage. It supports multiple programming languages by extracting the commonalities from multiple programming languages using an abstract syntax tree to help in the development of the measurement tools for the test coverage of new programming languages.