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This is a Systematic Review study.

September 27, 2025

The Role of AI in Software Test Automation - A Systematic Literature Review

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Systematic literature review reveals how AI enhances accuracy in software test automation, suggesting challenges remain.

AI significantly improves software testing by automating tasks and increasing efficiency.
Key methodologies like machine learning and neural networks optimize test case generation and defect detection.
Challenges such as data quality and integration complexity limit AI adoption in software testing.
Insights from this review support the collaboration between academia and industry for effective AI implementation.

Ranapana et al. (2024) studied this question.

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