Artificial Intelligence in Software Testing

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Explores AI's impact on enhancing software testing efficiency and accuracy, suggesting future research opportunities.

AI-driven techniques improve efficiency and accuracy in software testing, enhancing overall testing coverage.
Key advancements like machine learning and predictive analytics support intelligent test execution and case generation.
The analysis utilizes empirical evidence and case studies to highlight the benefits and challenges in AI software testing integration, including data quality issues and algorithmic bias concerns.

Yogeshwar Kulkarni (2024) studied this question.

View Full Paper

Ask AI

Bookmark