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By default, SonarQube reports this code as a Code Smell due to the java:S106 rule violation: However, ... We can also define exclusion rules in the sonar-project.properties file using analysis properties. Below describes some of the most common code smells that, when caught early, should not be too difficult to address: Long Methods. directory / project, cannot be automatically assigned. So don’t do it. Here you have the most common code smells: Bloaters. There is rarely needed in most regular code. A common example is bit manipulation. discovered that the code smells are gone when running mvn sonar:sonar, not sure why.. but am going to do this rather than using sonar-scanner cli – streetster Oct 10 '19 at 11:06 add a comment | 1 Answer 1 Code Smells are signals that your code should be refactored in order to improve extendability, readability, and supportability. As with everything we develop at SonarSource, it was built on the principles of depth, accuracy, and speed. On some versions of sonar (found on 6.5), the type of issue and the type of the rule don't match (for example VULNERABILITY vs CODE_SMELL). Note that currently, issues on any level above a file, e.g. For Bug, Vulnerability and Code Smell New issues are automatically assigned during analysis to the last committer on the issue line if the committer can be correlated to a SonarQube user. Examples include null-pointer, memory leaks, and logic errors. But what about when we don’t have a value. SonarSource delivers what is probably the best static code analysis you can find for Java. Code Smells are signals that your code should be refactored in order to improve extendability, readability, and supportability. Don’t accept new code until the code falls in line. Bloaters are code, methods and classes that have increased to … It uses the most advanced techniques (pattern matching, dataflow analysis) to analyze code and find Code Smells, Bugs and Security Vulnerabilities. Examples include duplicated code, too complex code, Dead Code, Long Parameter List. SonarQube's Python static code analysis detects Bugs, Security Hotspots, and Code Smells in Python code for better Reliability, Security, and Maintainability Overview. Figure 18: Sonar Portal showing two Projects including one from our previous example in Java There are two code smells detected which can be further verified in detail by clicking on ‘Issues’ Tab and navigating to the HelloWorld.cs file. Code Smell; Functions returns should not be invariant Analyze your code. SonarQube is a tool which aims to improve the quality of your code using static analysis techniques to report:. code coverage; bugs; code smells; security vulnerabilities; The SonarQube server is a standalone service which allows you to browse reports from all the different projects which have been scanned.To scan a specific codebase you run the SonarQube scanner. 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