Sonar's latest blog posts
Announcing SonarSweep: Improving training data quality for coding LLMs
Recent research from Anthropic has shown that even a small amount of malicious or poor quality training data can have a massively negative impact on a model’s performance, exposing users to significant security and quality issues.
Using quality profiles in Sonar
Last month, Sonar 1.6 was released. The main feature of the new version is the ability to manage quality profiles. The purpose of this post is to explain what gap the functionality fills, to define what is a quality profile and to explain how to use it. Prior to Sonar 1.6, it was only possible to run analysis with one set of defined coding rules per instance of Sonar. It means that within an instance of Sonar, it was not possible to process differently various types of projects (legacy application, technical libraries, new projects, ...). They were all analyzed with the same set of rules. Therefore there was sometimes unnecessary noise around the quality data that made it difficult to see quickly what real action was required. Sonar 1.6 turns off this noise by allowing to define and simultaneously use several quality profiles.
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What makes Checkstyle, PMD, Findbugs and Macker complementary ?
There is often some misunderstanding when people talk about coding rules engines. Everyone tries to take position in favor of his preferred tool and does his best to explain what are the weaknesses of the other ones.
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Discussing Cyclomatic Complexity
Googling on Cyclomatic Complexity (CC), gives some interesting results... Among those results, you'll find the two following definitions :
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Is 80% of code coverage any good ?
When talking about source code quality, there are always voices to tell you that metrics mean nothing and that plenty of projects have great metrics and poor quality! Let's look at one particular metric: the code coverage by unit tests.
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