Based on our record, PHPUnit should be more popular than Codecov. It has been mentiond 30 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Today, I finished the first implementation of this environment, adding Pest and PHPUnit in v10.5, which is currently not supported by default with WP Env. - Source: dev.to / 21 days ago
Laravel integrates with PHPUnit for unit testing out-of-the-box. Tests are stored in the tests directory of your Laravel application. - Source: dev.to / 28 days ago
PHPUnit is the de facto standard for PHP unit testing. It provides a framework for writing and running tests, helping developers quickly discover and fix errors. PHPUnit encourages developers to write testable code and adopt a test-driven development approach, resulting in higher-quality code and reduced chances of errors in production. - Source: dev.to / 2 months ago
Before updating Api Platform, you should make sure that your Api Platform routes are fully covered by tests. You can define integration tests with PHPUnit, Behat or Pest, depending on the tool you’re most comfortable with. - Source: dev.to / 5 months ago
PHPUnit: PHPUnit is a programmer-oriented testing framework for PHP. It is an instance of the xUnit architecture for unit testing frameworks. Extensions/tools: Brianium/paratest: Parallel testing for PHPUnit Johnkary/phpunit-speedtrap: Reports on slow-running tests in your PHPUnit test suite. Robiningelbrecht/phpunit-pretty-print: Better PHPUnit CLI output with Collision Roave/no-leaks: PHPUnit Plugin for... - Source: dev.to / 7 months ago
If you're actively testing your codebase, which I hope you are, consider integrating a code coverage automatic checker such as codecov. This tool can alert if the coverage drops below a threshold. While I've had positive experiences with such tools, it's worth mentioning that the adoption process may pose some challenges. - Source: dev.to / 15 days ago
The code coverage is printed out in the Coverage Report step but it is useful to track code coverage over time and have a repository badge which shows the current coverage percentage. There are many different code coverage and testing applications but we will use CodeCov. - Source: dev.to / 6 months ago
Usually, you can't build a product without using various tools. Some of them can be free, and some of them can be commercial. The great benefit of working on Open Source projects is that a lot of companies with commercial products have special offers for non-commercial development. In the case of the "xq" utility, which is written in Go, I use GoLand IDE by JetBrains. I paid for it for several months but later... - Source: dev.to / 10 months ago
This YAML file details the CI implementation, including combined code coverage with CodeCov. For a simpler example without Cypress parallelization and code coverage, check the Github Actions YAML file of this template. The ideas presented here can be applied to any front-end application. - Source: dev.to / 11 months ago
High unit-test coverage, and automated coverage reports on your repo by something like Codecov. Source: about 1 year ago
JUnit - JUnit is a simple framework to write repeatable tests.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
RSpec - RSpec is a testing tool for the Ruby programming language born under the banner of Behavior-Driven Development featuring a rich command line program, textual descriptions of examples, and more.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.