What is autonomous software testing?

Autonomous software testing is a next-gen approach where AI-driven systems independently create, execute, and maintain test cases with near to zero human input. These systems learn from data, adapt to changes, and improve the QA process over time.

What is the role of artificial intelligence in software quality assurance?

AI plays a crucial role in QA by identifying patterns, predicting defects, generating intelligent test scripts, and optimizing test coverage. It accelerates testing cycles and helps QA teams detect issues earlier, reducing risk and improving product quality.

What are the four types of quality assurance in software testing?

The four key QA types include: Preventive QA Corrective QA Adaptive QA Perfective QA

What is the difference between automatic and autonomous testing?

Automatic testing relies on pre-scripted instructions but still needs manual setup and maintenance. Autonomous testing, on the other hand, uses AI to decide what to test, how to test, and when to adapt without constant human guidance.

Is Autonomous Testing a replacement for manual testing?

Not completely. Autonomous testing significantly reduces manual effort, especially in repetitive or large-scale scenarios. However, manual testing still plays a key role in exploratory testing, UI/UX evaluations, and scenarios that need human intuition or domain knowledge.

How can Tx help with autonomous testing in software quality assurance for small, mid-sized, and large businesses?

Tx supports businesses of all sizes with tailored autonomous testing solutions. From AI-driven test creation and self-healing scripts to smart analytics and continuous testing, we help organizations reduce costs, improve coverage, and accelerate time-to-market.

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