International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Artificial Intelligence Effect and Use in Software Testing
| Author(s) | Prof. Latha B, Dr. Jaigopi K |
|---|---|
| Country | India |
| Abstract | Our lives are significantly impacted by artificial intelligence (AI), which is present in the majority of the systems and applications around us. Every day, enormous volumes of data are generated from numerous sources that must be tracked, examined, reported on, and used to guide action. With the development of increasingly complex software applications, time is becoming a crucial consideration in the release of applications that need to be thoroughly tested and adhere to business requirements. AI is essential to software testing because it can produce faster and more accurate results. The main tenets of artificial intelligence that apply to software testing are covered in this paper. It also provides a glimpse of what software testing and artificial intelligence will look like in the future. The findings demonstrate that AI can improve software testing outcomes, and AI-driven testing will soon usher in a new era of quality assurance (QA) work. AI software testing will shorten time to market, improve organizational efficiency in producing more complex software, and develop more intelligent automated testing. |
| Keywords | Artificial Intelligence, Software Testing, Test Automation |
| Field | Computer |
| Published In | Volume 7, Issue 5, September-October 2025 |
| Published On | 2025-10-19 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i05.58474 |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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