BenchMark Quizzes by MDFT Pro

Select Code Coverage Tool for Java Applications

You work for MDFT Pro and are automating the build process for a Java-based educational application by using Azure DevOps. The application is a student assessment platform that allows instructors to create and grade programming assignments.

Your team lead, Claire, has asked you to enhance the CI/CD pipeline to include quality metrics. Specifically, you need to add code coverage testing and publish the outcomes to the pipeline so that the development team can identify areas of the codebase that lack sufficient test coverage.

The application is written in Java and uses Maven as the build tool. You need to select the appropriate tool that integrates well with Azure DevOps pipelines and can provide detailed code coverage reports for Java applications.

What should you use?

Choose the correct answer from the options below.

Explanations for each answer:

JUnit is incorrect. JUnit is a testing framework for Java applications, not a code coverage tool. While it's used for unit testing, it doesn't provide code coverage metrics by itself.
Bullseye Coverage is incorrect. Bullseye Coverage is primarily used for C/C++ applications, not Java applications, making it unsuitable for this scenario.
JaCoCo is correct. JaCoCo (Java Code Coverage) is specifically designed for Java applications and integrates well with Maven and Azure DevOps. It provides comprehensive code coverage metrics including line, branch, and instruction coverage, making it ideal for this scenario.
Coverage.py is incorrect. Coverage.py is a code coverage tool specifically for Python applications, not for Java applications.

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Select Code Coverage Tool for Java Applications