code coverage in sonarqube

From: http://qa.taobao.com /? P = 7218 C/C ++ has very few statistical tools for code coverage. Compared with Java, there are very few open-source and free tools. It is very rare to use and open-source tools. Finally, we chose gcov-based lcov as the coverage rate statistics Tool for nginx testing. The reason for selecting lcov is simple: first, it is suitable for

As a tester, to ensure that the product software quality is its primary goal, in order to this goal, testers often through a lot of means or tools to ensure that coverage is one of the more important link. We typically divide test coverage into two parts, which are "requirements coverage" and "code

Solve what problem The problem is presented as follows: The first problem for testers is the inability to measure the quality of test cases, and if test engineers spend a lot of time writing test cases that do not effectively cover important implementation code, it can be shown that such test cases are not good. At the same time, you can analyze why you did not overwrite the important code according to the

Author: Sun Tian, Shi Junjuan, Shenyanyu, Qing GuoBackgroundcode coverage is an important indicator to measure the effectiveness of product testing. Getting code coverage for unit tests is relatively straightforward. However, Testers of Web applications often worry about collecting code

The Code coverage is a tool that calculates the coverage of your unit tests. A high level of coverage gives you confidence in your unit tests and also shows that your application has been thoroughly tested. You may have written thousands of unit tests, but if the coverage is

1. About Code Coverage There are many levels of code coverage, such as line coverage, function/method coverage, class coverage, branch coverage