In this chapter, you have seen how code metrics provide several measurements of code quality, and how easy it is to generate them. Code metrics include the number of lines—including blank lines—versus the number of executable lines of code, the cyclomatic complexity, the level of cohesion and coupling, and how maintainable your code is. The refactoring color codes are green for good, yellow for ideally needs refactoring, and red for definitely needs refactoring.
You then saw how easy it is to provide a static code analysis of projects and view the results. Viewing and modifying rulesets that govern what gets analyzed and what doesn't get analyzed was also covered. Then, you experienced quick actions and saw how we can perform bug fixes, add using statements, and refactor code with a single command.
We then used the JetBrains dotTrace profiler to measure our application's performance, track down bottlenecks, and identify hungry methods...
