Ways to Levarage Software Testing with AI

By now we all know what is AI and its capabilities, but as a software testers we should find a  ways how we can levarge that powerful tool to our benefit.

Some of Possible ways to use in our testing:When it comes to software testing, AI uses machine learning and deep learning algorithms to analyze code, user behavior, and test results. AI can enhance test automation in several key ways:

• AI can analyze massive amounts of data to detect patterns and generate optimized test cases. This helps focus testing efforts on critical areas.

• AI can automatically generate realistic test data, eliminating the need for manual data creation to expand the scope of testing scenarios within an application.

• AI systems can adapt and update tests as products change to ensure continuous testing coverage. They can modify tests based on updates to applications under test.

• AI can analyze how real users interact with an application to generate tests that simulate common user journeys and workflows. This helps ensure key user paths are well-tested.

• AI can accelerate the development of automated tests through “low-code” platforms that make test creation more intuitive and accessible to non-engineers. This expands the scope of possible testing.

In Simple terms:Faster and Smarter Test Creation,Automated Test Data Generation,Effortless Test Maintenance,Enhanced Visual Testing

AI testing tools:(We have a plenty of information available in online about below tools and how we can use them according to our application requirements)

• Mabl: Uses machine learning to adapt to application changes and ensure test coverage
• Testim: Uses AI to self-heal test scripts, making it easier to maintain large-scale testing 
• Applitools: Uses machine learning to compare application screens and detect visual anomalies
• Functionize: Uses AI and ML technology to test complex applications 
• TestRigor: Creates, edits, and updates tests of any complexity
• Katalon Studio: Supports web, API, mobile, and desktop applications
• accelQ: A cloud-based codeless AI testing automation tool that automates API & UI testing 

Ofcourse we need to consider when we decided to use AI for testing:

• Functionality and features: Whether the tool can cover most of your test scenarios
• Usability: How easy it is to adopt and use
• Value for money: The cost, ease of setup, speed of test creation, and maintenance

We do have cerifications avaialbe for testing with AI:

Certified Tester AI Testing (CT-AI)

use below link for more details:

https://www.istqb.org/certifications/certified-tester-ai-testing-ct-ai/