There are many code coverage tools available for different programming languages, frameworks, and platforms. You should choose the tool that best suits your needs, preferences, and budget. Consider the features, usability, compatibility, and support of the tool. Common features of code coverage tools include the ability to measure different types of coverage (e.g., statement, branch, condition, function, or line coverage), generate reports in various formats (e.g., HTML, XML, JSON, or CSV), visualize the coverage results in different ways (e.g., graphs, tables, charts, or heat maps), filter/sort/group/compare the coverage results by different criteria (e.g., file, class, method, test case, or branch), and integrate with other tools (e.g., code editors, test runners, code analyzers, or code repositories). The level of coverage that you aim for depends on various factors such as the type/size/complexity/criticality of your software and the time/resources available for testing. Generally speaking, higher levels of coverage are more desirable for software that is more complex or critical; conversely lower levels of coverage may be acceptable for software that is less complex or critical. The level of coverage should also be consistent and realistic across your software and test suite as well as aligned with your testing goals and quality standards.