JaCoCo VS Cobalt

I will use here JaCoCo, where also the JaCoCo-Maven-lugin exists for the usage in your Maven builds. This article will show how to configure the code coverage to finally get the results for unit- and integration-tests.

In protection rules, I added build workflow in Require status checks to pass before merging. This is to ensure that before merging code in master branch, build should run successfully. I also added Jacoco Code Coverage to make sure that enough unit tests are available in project and Detekt to make sure that code in project is readable. I added them in build configuration. Even if one of them gives error, build will fail. Whenever, someone push code in pull request, build action will run and check if build is running successfully or not.

Code coverage analysis tools quantify the amount of tested code, serving as a valuable tool to inform on code structure and testing related decisions. We will make use of JaCoCo, JaCoCo produces reports on multiple kinds of code coverage metrics including instructions, line and branch coverage.

One specific example where I regularly use a profile in this way is for configuring code coverage. In all of my Java projects, I use JaCoCo for generating code coverage reports. I use JaCoCo during the Maven test phase. However, while developing I find it useful at times to exclude coverage reporting to reduce the build time. But in my CI/CD workflows in GitHub Actions, I activate the code coverage profile during pull-requests and pushes to the default branch. For pull-requests, my GitHub Actions workflow comments the code coverage on the PR and uploads the coverage report as a workflow artifact, where I can inspect it as necessary. And during a push to the default branch, my workflow updates coverage badges to keep them up to date with the current state of the default branch. I can also activate the code coverage profile locally while developing, such as prior to submitting a pull-request, to ensure that I didn't miss testing something.

In Unit tests, individual software code components are checked if it is working as expected or not. Unit tests isolate a function or module of code and verify its correctness. We can use tools like JaCoCo for Java and Mocha, and Jasmine for NodeJS to generate unit test reports. We can also send these reports to SonarQube which shows us code coverage and the percentage of your code covered by your test cases.

And there is the original jacoco/jacoco: (0.8.7: released this on May 5, 2021), but it's for Java. I'm not sure if we can use it with multiple flavors on Android.

Make sure to also update to Jacoco 0.8.7 to avoid test issues: https://github.com/jacoco/jacoco/releases/tag/v0.8.7

I'd like to disagree. I'm an high school student myself and I am interested mostly in programming, but also in computer science. I have never studied anything in either fields at school so maybe my opinion here is limited. The first point I'd like to address is that, while the line between computer science and programming is sometimes very thin, this project clearly falls in the latter's territory. Furthermore, being a computer scientist or a software engineer doesn't excuse an individual from not following the coding practices that regulate a particular language. While the latter is a tool in both cases, it's important in my opinion to maximize its expressivity to get the job done as efficiently as possible. At least in my opinion this is very important to understand the difference between the various programming languages, build tools and everything else as, without following the tool's philosophy at heart, they start to look all the same very fast. Finally a computer scientist could have an interest in being a good programmer and vice versa which makes it trivial to start following good practices from the start. At least this is what I've always tried to do from my first project(https://github.com/Auties/MeteorShardSourceCode) to my last ones(https://github.com/Auties00/Reified https://github.com/Auties00/WhatsappWeb4j).

You can find the library here