DEVOPSdigest

Sonar announced zero-configuration, automatic analysis for programming languages C and C++ within SonarCloud.

This new capability enables C and C++ projects hosted on GitHub to be analyzed by SonarCloud in one click, and it works with all compilers. Free for open source projects, SonarCloud provides fast and efficient identification and remediation of code level issues that lead to accumulation of technical debt. Sonar is the world’s leading Clean Code solution, helping organizations increase innovation and productivity while decreasing business risk.

Sonar’s automatic analysis capability enables SonarCloud to scan C and C++ projects without having to make any manual time-consuming configurations, which is required by all other commercial tools available today. This manual configuration process can take up to several days to complete, requires expertise in development, and a comprehensive understanding of the application and the way it is built. This ultimately takes time away from the architects, operators, and developers, and is the primary reason to not use a Clean Code solution.

Olivier Gaudin, founder and co-CEO of Sonar, said, “The cost it takes to configure static analysis is a big reason why project teams hesitate to use a Clean Code solution. Not only have we delivered a zero-configuration option, but data also shows that for more than 80% of projects analyzed, the analysis is just as performant as the manual configuration. This is a significant breakthrough for the C and C++ ecosystem.”

"Until now, it seemed impossible to offer C or C++ static analysis with a seamless configuration experience. Users had to suffer the pain of manual configuration or not use it at all,” said Geoffray Adde, C++ Ecosystem Product Manager at Sonar. “We have made the impossible possible with a one-step process, which also expands our coverage to all compilers. What’s more – anyone can take advantage of the new feature, as it’s free for open source projects."

Zero-configuration analysis for C and C++ projects helps development teams achieve Clean Code – defined as code that is consistent, intentional, adaptable, and responsible. The result of Clean Code is software that is secure, maintainable, and reliable. Automatic analysis of C and C++ with SonarCloud is available today, in addition to supporting over 20 languages, including Java, JavaScript, TypeScript, Python, and C#.