AI in Testing: Do You Need It?

Discussion in 'Articles & Tutorials' started by Rajesh N, Nov 18, 2020.

  1. Rajesh N

    Rajesh N
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    Artificial Intelligence has not only impacted industries, but it has also empowered the SDLC for faster development and deployment. The combination of test automation and AI has numerous advantages. Learn a few of those advantages to enhance your software testing processes with AI capabilities.
     
    #1 Rajesh N, Nov 18, 2020
    Last edited by a moderator: Nov 18, 2020
  2. NuAIg

    NuAIg
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    a) Unit testing- Unit testing is very important to ensure that the build is stable and testable. With the help of AI-based unit testing tools such as RPA, developers can reduce tedious test cases and maintain unit tests.

    b) API testing- API testing saves time and effort by deeply understanding the root cause of the problem. The problem with UI tests is that they are no longer reliable due to constant changes in the UI, and API tests can enable the application to understand the problem more deeply and directly find the root cause of the problem, ultimately making the application more powerful.

    Many tools are using artificial intelligence, by converting manual UI testing to automated API testing, reducing the technical skills required to adopt API testing and helping organizations develop a scalable and comprehensive API testing strategy, thereby helping to reduce the complexity of API testing.

    c) UI testing- The first step in automation is to convert manual UI testing to automated testing. There are tools that can use AI to run test cases on multiple platforms and browsers, and they can also learn from functional processes, thereby reducing maintenance and making testing more reliable.
     
    #2 NuAIg, Dec 10, 2020
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