What is SonarQube branch analysis?
This branch is usually known within a development team as “master” or “head” and is analyzed when no specific branch parameters are provided. SonarQube labels this branch as Main Branch, and, with Community Edition, this is the only branch you can analyze.
How do you analyze a branch?
Then, all you have to do is:
- Define, in the UI, what pattern to use to classify a branch as a short or long living.
- First analyze master, by not providing any parameters related to branches.
- Then, when analyzing a branch, provide the following parameters to the SonarQube Scanner: -Dsonar.branch.name=xxx and -Dsonar.
What is Sonar branch target?
sonar.branch.target. Name of the branch where you intend to merge your short-lived branch at the end of its life. If left blank, this defaults to the master branch. It can also be used while initializing a long-lived branch to sync the issues from a branch other than the Main Branch.
How do I create a new branch in Sonarqube?
Our workflow is simple: we have the master branch which is the stable branch. For each change, a new branch is created. These are (usually) short-lived. We now run sonar-scanner on that branch with sonar.branch.name set to the branch’s name (e.g. sonar-scanner -Dsonar.branch.name=task123 ).
What is branch coverage in Sonarqube?
This is the density of possible branches in flow control structures that have been followed during unit tests execution.
How do I delete a branch in Sonarqube?
Can I manually delete a branch? You can delete a branch in the Branches tab at Project Settings > Branches and Pull Requests.
What is new code in Sonarqube?
You can define New Code as changes from a previous version, a specific analysis, a reference branch, or within a specific period (number of days): Previous Version – Define New Code as any changes made in your project’s current version. This works well for projects with regular versions or releases.
What does Code Coverage mean in SonarQube?
Code coverage is a metric that many teams use to check the quality of their tests, as it represents the percentage of production code that has been tested. Discover how to apply the Gradle Jacoco plugin to your project and run a SonarQube scan to generate a code coverage report.
How does SonarQube measure coverage?
SonarQube gets the covered lines from the coverage report given to the analyser. The metric we promote is the Code Coverage because it is the one that reflects the best the portion of source code being covered by unit tests. This is the metric you can see on the home page of a project.
Does 100% line coverage imply 100% branch coverage?
“100% branch coverage implies 100% statement coverage” is correct. Just because you cover every statement doesnt mean that you covered every branch the program could have taken. you have to look at every possible branch, not just the statements inside every branch.
How important is branch coverage?
Branch coverage means that tests exercise all paths through each branch, e.g. both the if and the else in your example. Branch coverage is a lot easier to achieve than multiple (or basic) condition coverage, some tools measure it, and it would be reasonable to set a standard for it instead of line coverage.
What is JaCoCo and how it works?
Working with JaCoCo JaCoCo uses the standard JVM Tool Interface. During a build a JaCoCo agent attaches itself to a JVM. When the JVM starts. and whenever a class is loaded, JaCoCo can use the agent to see when the class is called and what lines are executed. When the JVM terminates it creates the coverage report file.
How do I set up JaCoCo?
Configuring The JaCoCo Maven Plugin
- Add the JaCoCo Maven plugin to the plugins section of our POM file.
- Configure the code coverage report for unit tests.
- Configure the code coverage report for integration tests.
How do you install JaCoCo?
How to setup JaCoCo with Maven?
- Generate the project. Navigate to https://start.spring.io/ to generate a project with an appropriate version of build tool (maven), language (Java), the default version of spring.
- Import project into IDE (i.e., Eclipse)
- Add JaCoCo plugin to the pom.
- Generate code coverage report.
How does code coverage works?
What is Code Coverage? Code coverage is the percentage of code which is covered by automated tests. Code coverage measurement simply determines which statements in a body of code have been executed through a test run, and which statements have not. This loop will continue until coverage meets some specified target.
Which is a code coverage tool?
Code coverage tools are available for many programming languages and as part of many popular QA tools. They are integrated with build tools like Ant, Maven, and Gradle, with CI tools like Jenkins, project management tools like Jira, and a host of other tools that make up the software development toolset.
How much code coverage is enough?
Summary. Code coverage of 70-80% is a reasonable goal for system test of most projects with most coverage metrics. Use a higher goal for projects specifically organized for high testability or that have high failure costs. Minimum code coverage for unit testing can be 10-20% higher than for system testing.
How do I create a code coverage tool?
Getting started with code coverage
- Find the right tool for your project.
- What percentage of coverage should you aim for?
- Focus on unit testing first.
- Use coverage reports to identify critical misses in testing.
- Make code coverage part of your continuous integration flow when you’re ready.