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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM25753

Revitalizing Visual Regression Testing with AI Vision: A Review of Methods and Applications for Web Development

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Paper ID:

10.55041/IJSREM25753

Volume:

7 |

9 |

Sep 2023

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Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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VPKV

Venkata Padma Kumar Vemuri

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Abstract

Visual regression testing ensures the visual integrity of web applications by detecting unintended changes in their appearance. Traditional visual regression methods, while effective in controlled environments, have seen a decline in use due to challenges in scalability, accuracy, and resource efficiency. This paper reviews the key methodologies of visual regression testing and explores the diminishing reliance on these techniques in modern web development. Furthermore, it highlights how AI-powered vision technologies can rejuvenate visual regression testing by enabling intelligent automation, enhanced precision, and cost-effectiveness. Finally, the paper provides an overview of state-of-the-art AI-driven tools for visual regression and their applications in dynamic web environments

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Cite This Article

Venkata Padma Kumar Vemuri, "Revitalizing Visual Regression Testing with AI Vision: A Review of Methods and Applications for Web Development," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 9, Sep 2023. https://doi.org/10.55041/IJSREM25753

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9/26/2023

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