INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Traditional automated testing methods struggle with UI demo videos lacking audio cues, limiting their applicability and inclusivity. This paper proposes a novel approach to generate test scripts from mute videos using AI-powered video analysis and text generation tools like Azure AI Video Indexer and Google Video Intelligence AI. We address the knowledge gap by analyzing existing research on video-based test script generation, highlighting limitations with audio reliance. Our proposed method leverages computer vision and textual information extraction to interpret user interactions solely from visual cues. This non-audible approach holds the potential to broaden test script generation applicability, enhance inclusivity for users with hearing impairments, and simplify data processing. We discuss potential challenges and propose future research directions, paving the way for more robust and accessible AI-powered testing solutions.
Keywords:
AI-powered testing, video analysis, test script generation, mute demos, accessibility, computer vision
Cite Article:
"The Future of Automated Testing: Understanding User Interactions in Silent UI Demos", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.c279-c281, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403238.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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