C++ example project scanned on SonarCloud using Azure Pipelines

This project is analysed on SonarCloud!

It is very easy to analyze a C, C++ and Objective-C project with SonarCloud on Azure DevOps:

1. Create a sonar-project.properties file to store your configuration

2. Install SonarCloud extension for your organization:

   1. Open Organization settings (in the bottom left corner of organization view)

   2. Open "Extensions" page (in the General category)

   3. Press "Browse marketplace" and find "SonarCloud"

   4. Select your organization and click "Install"

3. Add the SonarCloud connection to your project:

   1. Open Project settings (in the bottom left corner)

   2. Open "Service connections" page (in the Pipelines category)

   3. Press "New connection" and select the "SonarCloud"

   4. Fill in the SONAR_TOKEN

   5. Name your connection SonarCloud (to reference it later in azure-pipelines.yml)

4. In your azure-pipelines.yml file:

   1. Add the SonarCloudPrepare task and configure it:

      • Specify the SonarCloud Service Endpoint as SonarCloud - the connection you created earlier

      • Choose your organization

      • Choose "Use standalone scanner" (scannerMode: 'CLI')

      • Choose "Store configuration with my source code (sonar-project.properties)" (configMode: 'file')

   2. Add a task to download the Build Wrapper

   3. Wrap your compilation with the Build Wrapper

   4. Add the SonarCloudAnalyze task

You can take a look at the sonar-project.properties and azure-pipelines.yml to see it in practice.

Documentation

• Documentation overview of the C, C++ and Objective-C analyzer

• Documentation of using SonarCloud with Azure DevOps

• Generating a compilation database (compile_commands.json)

• Running the analysis in Compilation Database mode

Linux\CMake

A build of the code repository on a Linux platform using CMake build system.

To build the code run:

mkdir build && cd build
cmake ..
make

Code Description

An example of a flawed C++ code. The code repository can be analyzed automatically, but it can also be compiled with different build systems using different CI pipelines on Linux, macOS, and Windows.

The code repository is forked into other repositories in this collection to add a specific build system, platform, and CI. The downstream repositories are analyzed either with SonarQube or SonarCloud.

You can find examples for:

• Linux

• macOS

• Windows

Using the following build systems:

• CMake

• GNU Autotools

• Xcode

• MSBuild

Running on the following CI services:

• Azure DevOps

• GitHub Actions

• Travis

• Jenkins

• GitLab CI

• BitBucket Pipelines

• Additionally, generic examples demonstrate integration with other CIs and manual-configuration examples should help you if you are running locally.

Configured for analysis on:

• SonarQube

• SonarCloud

You can find also a few examples demonstrating:

• The use of Compilation Database (compile_commands.json)

• Test coverage

See examples-structure.adoc for a description of the structure of this GitHub organization and the relations between its different repositories.