Alpha vs beta testing | Mammoth-AI

Alpha Testing:

Alpha Testing is a method of acceptance testing conducted before releasing the final product to end users to find all potential problems and bugs. The testers, who are internal staff of the organization, conduct alpha testing. The main objective is to define and test the tasks that a typical user would perform.

This kind of testing, to put it as plain as possible, is called alpha only because it is performed early on, near the end of the software development, and before beta testing. The key focus of alpha research is the use of black box and white box strategies to simulate actual users.

Beta Testing:

Beta testing is conducted in the “actual world” by the “real users” of the software application and can be viewed as a form of external user acceptance testing. It is the final test before a product is delivered to customers. A big benefit of Beta Testing is direct input from clients. In the customer’s environment, this research helps to assess goods.

A small number of end-users of the app will be released with the Beta version of the program to gain input on the quality of the product. Beta testing decreases the chances of product failure and, through consumer validation, provides improved product consistency.

MAIN DIFFERENCES:

  • Alpha testing is carried out within the company by the testers, while the end users conduct Beta testing.
  • Alpha Testing is performed on the site of the developer, while Beta Testing is performed at the location of the client.
  • In Alpha Testing, reliability and security testing are not carried out in detail, whereas during Beta Testing, reliability, security and robustness are tested.
  • Alpha Testing requires both Whitebox and Blackbox testing, while Beta Testing requires Blackbox testing in particular.
  • Alpha Testing requires a laboratory area, whereas Beta Testing does not require an environment for testing.
  • Alpha Testing takes a long period of execution, while Beta Testing only requires a few weeks of execution.
  • In Alpha Testing, important problems and bugs are immediately discussed and patched, while problems and bugs are obtained from the end users and further introduced in Beta Testing.

For more info: https://www.mammoth-ai.com/artificial-intelligence/software-testing-trends-in-2021/

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