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Guide to Code Coverage in Agile Project Management

What is Code Coverage?
Code coverage is a metric used in software testing to measure the amount of code that is being executed by the test suite. It quantifies the degree to which the source code of the program is tested, which aids in identifying parts of the application that are not covered by testing.

Importance of Code Coverage:
Code coverage is important because it provides a visual measurement of how much source code is being tested and how much is not. It helps to guarantee that all lines of code are tested, reducing the number of bugs and increasing the quality of the software. Additionally, it helps developers to create more efficient tests.

How Code Coverage Works:
Code coverage works by inserting instrumentation into the code to trace which parts are being executed when you run your tests. After the tests are complete, a report is generated that shows which parts of the code were and were not executed.

Exam Tips: Answering Questions on Code Coverage:
πŸ’‘ Understand the concept thoroughly and differentiate it from other testing metrics.
πŸ’‘ Use real-world scenarios to illustrate the importance and application of code coverage.
πŸ’‘ Be clear and precise in the definition and understanding of the concept.
πŸ’‘ Incorporating its pros and cons in your answer might fetch you more marks.
πŸ’‘ Be familiar with the reporting formats and the interpretation of the report.

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Code Coverage practice test

Code Coverage is a metric that measures the percentage of the application's code that is executed during automated testing. It helps in understanding how well the application's code is tested and hence gives an indirect measure of the code quality. Higher Code Coverage means more parts of the application's code have been tested, which can lead to higher confidence in the delivered product. Continuous monitoring of Code Coverage can provide valuable insights into areas where additional testing efforts may be needed, and can guide the decision to invest in enhancing automated test cases or manual testing. It's worth noting that Code Coverage should not be the sole indicator of a healthy codebase, as 100% Code Coverage does not guarantee the absence of defects or implementation issues.

Time: 5 minutes   Questions: 5

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