Consolidate test outcomes from various nodes in the stack into a single graph

Nowadays, web applications consist of a variety of different technology stacks. Developers utilize languages like Ruby, Python, PHP, JavaScript, and C for the backend, as well as frameworks such as AngularJS and EmberJS for MVC/client-side code. To ensure quality, developers write tests specific to each part of the stack, whether it's RSpec for Rails, QUnit for JavaScript, or Selenium for headless browser testing.

My query is simple: Is there a single framework available that can consolidate the results from these diverse tests into one comprehensive spreadsheet or graph? I'm interested in obtaining an overview of the application's health without having to delve into each individual stack separately. How is this achieved nowadays? Are there any modern tools designed to collect results from RSpec tests, QUnit tests, and Selenium tests, then present them in a visually appealing format?

Ideally, I have envisioned a test framework that requires just one 'GO' button to run tests across all my stacks and produce unified output that can be showcased in HTML, CSV, or any other required format.

Answer №1

I have extensive experience working on intricate projects involving various services written in languages like java, ruby, R, scala, and utilizing different databases. Additionally, the frontend is developed using JavaScript frameworks, native mobile apps, and rails. To monitor the status of different test suites and maintain a centralized view of the system, we utilize a "build monitor" tool that displays real-time updates. This seamless integration is made possible through popular build tools such as Jenkins, GoCD, TeamCity, and Travis CI. These tools offer a wide range of features including:

  1. Executing and consolidating results for tests across multiple languages
  2. Scheduling periodic or triggered tests based on code changes
  3. Automatically deploying applications after successful testing
  4. Reporting test results via email, SMS, etc.
  5. Identifying which code change caused a failure
  6. Archiving test results and tracking trends over time
  7. And much more...

If you're interested in learning more about Continuous Integration (CI), I recommend reading up on it here.

For specific implementations and details on integrating CI tools with different languages and test suites, I suggest conducting further research online.

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