Software Testing is hard. Realistic testing of web applications in a real browser is even harder. In this video, Gleb Bahmutov shows you how to quickly test any web application using cutting-edge tools. Then you will see how to build high-quality software from individual modules using appropriate tools and creating an environment where bugs can be discovered immediately and fixed quickly.
Code coverage is a software testing metric that measures the degree to which the source code of a program is tested by a particular test suite. This metrics is often difficult to understand and interpret for software development teams. In this article, Eran Sher proposes a better approach to code coverage that is more adapted to the current situation of continuous delivery and service architecture.
Unit testing ensures your production code is relevant. But what does ensure your testing code is relevant? Come discover mutation testing and make sure your never forget another assert again. In the realm of testing, the code coverage metrics is the most often talked about. However, it doesn’t mean that the test has been useful or even that an assert has been coded. Mutation testing is a strategy to make sure that the test code is relevant.
Every day, Netflix has more customers consuming more content on an increasing number of client devices. We’re also constantly innovating to improve our customers’ experience. Testing in such a rapidly changing environment is a huge challenge, and we’ve concluded that running tests in our production environment can often be the most efficient way to validate those changes.
We all want “better” test suites. But what makes for a good test suite? Certainly, test suites ought to aim for good coverage, at least at the statement coverage level. To be useful, test suites should run quickly enough to provide timely feedback.
Code coverage is a metric that gives the degree to which the source code of a program is tested by a particular test suite. This metric is provided by open source or commercial code coverage tools and displayed in quality dashboards like SonarQube. There are many discussions about the right level of code coverage. In his book Quality Code, Stephen Vance explains the limit of this metric.