Is cucumber good for API testing?

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Is cucumber good for API testing?

Cucumber is not an API automation tool, but it works well with other API automation tools. Using API’s for your automation, can make your tests faster and less flaky than going through the UI.

Which framework is best for REST API testing?

So, from our perspective the best automation framework for REST APIs is RestAssured. It is simple to use, modular and you can manipulate the request in any way you want.

Is BDD good for API testing?

On my opinion using BDD is always a good approach (in terms of testing automation). Easy to share with other devs. Sets of human readable scenarios will faster enter the ropes. CI Integration with BDD will makes failures investigation easier.

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When should you not use cucumber framework?

When shouldn’t you use Cucumber?

  1. The regex tax. There is an overhead when using Cucumber.
  2. Taxing test coverage. Within BDD, scenarios are only created for key examples of behaviour and are not used to document every single edge case as tests.
  3. Mixing tools and code.
  4. Conclusion.

What is framework in API testing?

API testing frameworks are necessary for any company with an API strategy. APIs or Application Programming Interfaces, are the main components that allow companies to share and integrate data with each other. …

What is BDD using cucumber?

A cucumber is a tool based on Behavior Driven Development (BDD) framework which is used to write acceptance tests for the web application. It allows automation of functional validation in easily readable and understandable format (like plain English) to Business Analysts, Developers, Testers, etc.

What is needed for API testing?

API testing flow is quite simple with three main steps: Send the request with necessary input data. Get the response having output data. Verify that the response returned as expected in the requirement.

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What are the disadvantages of Cucumber framework?

Drawbacks of Cucumber in BDD The whole cucumber – Gherkin combination adds another layer of complexity. Suddenly besides writing generic enough functions in Java or JavaScript, the developer or tester or analyst must write steps that can be reused while being specific enough to differentiate between the scenarios.