Javascript Software Testing: unit testing, open source, Jasmine, Karma, Casper.js, QUnit, SinonJS, etc.
The quality of the JavaScript code is often verified with the traditional activities of unit and functional testing. There are however tools that allow checking code before or during its execution to assess its quality and its adherence to coding standards using a process called code analysis. This article presents a list of open source tools to perform static and dynamic code analysis on JavaScript programs.
Cypress has taken the world by storm by brining an easy-to-use open source tool for end-to-end (E2E) automated testing. Its capabilities have proven to be useful for creating stable tests for frontend applications. But end-to-end testing is just a small part of test automation efforts. What about your API? What about your components?
This presentation is about the common mistakes that people make when writing tests. It highlights more aspects like bloated tests which make it hard to figure out what they are about and proper usage of assertions to get better error messages.
This talk presents everything you need to know to run a successful, stable and maintainable WebdriverIO open source browser and mobile testing tool for Node.js. Christian explains you everything from the basic concepts up to complex testing strategies you can do with WebdriverIO like frontend performance testing as well as complex browser interaction with Puppeteer.
Running automated tests is a good thing for software quality assurance. Now you have to understand the results of the current test run. You could also be interested to see how your tests results evolve over time. To achieve these goals, you need a tool to produce meaningful tests reports and there are some open source tools to help you do this.
Why are we afraid to deploy software on Friday evening? Well, mostly because no one wants to debug production issues on Saturday and we really want to go home. Answering the (seemingly) basic question of “does the code actually work?” is surprisingly difficult at times.
This talk will take you through the challenge of testing a cloud-native application that uses MQTT (a pub/sub protocol), webhooks and REST to interact with IoT devices on top of AWS. It uses services which cannot be run on a developers machine for testing, so it was needed to develop a test setup which enables us to continuously test against real services.
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