![]() ![]() # is prohibited, we'll use a Docker container, # Since the installation of random software in virtual machines ![]() # Run only for changes in the master branch Let's replace the suggested default configuration for the following one for using Microsoft-hosted agents: # Setting up run triggers Usage of such agents allows us not to waste time for their support and updating, but imposes certain restrictions, for example - inability to install additional software that is used to build a project. Such agents are ordinary virtual machines that launch when we run our pipeline. We can run static code analysis of the project in two ways: using Microsoft-hosted or self-hosted agents.įirst, we'll be using Microsoft-hosted agents. To start working in Azure DevOps, let's follow the link and press "Start free with GitHub". In other words, the project is small, but quite sufficient to demonstrate the work of PVS-Studio together with the cloud platform. The output of the cloc command for the ShareX project: ![]() The project source code is available on GitHub. The project is written in C# and is eminently suitable to show configuration of the static analyzer launch. ShareX is a free app that lets you capture and record any part of the screen. The Azure DevOps platform includes such tools as Azure Pipeline, Azure Board, Azure Artifacts and others that speed up the process of creating software and improve its quality. The tool supports the analysis of C, C++ and C# code.Īzure DevOps. PVS-Studio is a static code analyzer for finding errors and security defects. The third is the project that we'll check in order to demonstrate the abilities of PVS-Studio when working in a cloud. The second is Azure DevOps, which we'll integrate the analyzer with. ![]()
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