AUTOMATION IN SOFTWARE TESTING: HOW CAN AI OPTIMIZE THE TESTING PROCESS?

Authors

  • Behruzbek Mashiripov , Muxlisa Umarova Urgench state university

DOI:

https://doi.org/10.55640/

Keywords:

software testing, automated testing, artificial intelligence, optimization, error detection, test scenarios, software engineering efficiency.

Abstract

This article is devoted to the issues of optimizing software testing automation through the use of artificial intelligence. It highlights the application of AI technologies in testing, particularly their advantages in rapid error detection, automatic generation of test scenarios, and resource-efficient process management. In addition, the article discusses the reduction of human factor influence, improvement of software product quality, and potential innovative approaches that can be applied in this field in the future. The findings show that AI-based testing systems serve as an important factor in enhancing the efficiency of software engineering.

References

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Published

2025-09-02

How to Cite

AUTOMATION IN SOFTWARE TESTING: HOW CAN AI OPTIMIZE THE TESTING PROCESS?. (2025). International Journal of Political Sciences and Economics, 4(08), 197-199. https://doi.org/10.55640/

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