Testify - AI TestCrafter

  • Unique Paper ID: 177468
  • Volume: 11
  • Issue: 12
  • PageNo: 2283-2287
  • Abstract:
  • Testify is an AI-powered technology that improves the software testing process by analyzing website screenshots and creating meaningful test cases. It detects UI elements and user interactions using visual recognition, followed by natural language processing to build test scenarios that are relevant and workflow specific. This significantly cuts down on manual testing time while boosting accuracy and efficiency. With built-in data protection measures and intuitive result displays, Testify empowers QA teams across different industries to optimize and accelerate their testing workflows.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{177468,
        author = {R.Revathy and Mrs.S.Priyadharshini and Dr.P.Sumathi and V.Preethi and S.Deepika and K.Sanmugavadivel},
        title = {Testify - AI TestCrafter},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2283-2287},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177468},
        abstract = {Testify is an AI-powered technology that improves the software testing process by analyzing website screenshots and creating meaningful test cases. It detects UI elements and user interactions using visual recognition, followed by natural language processing to build test scenarios that are relevant and workflow specific. This significantly cuts down on manual testing time while boosting accuracy and efficiency. With built-in data protection measures and intuitive result displays, Testify empowers QA teams across different industries to optimize and accelerate their testing workflows.},
        keywords = {UI Screenshot Analysis, Test Scenario Optimization, LLM for Software Testing, Visual AI.},
        month = {May},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 2283-2287

Testify - AI TestCrafter

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