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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21665
Article Published : 8541
Total Authors : 22459
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| Paper Title: | A Review of the Effectiveness of AI in Automated Software Testing |
| Authors Name: | Abdurrahman Abdullahi Dangongola , Dr Senthil Kumar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204972
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| Published Paper Id: | IJRTI2506202 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | Abstract Software testing plays a vital role in ensuring application reliability and quality. With the increasing complexity of software systems, traditional testing methods face challenges related to efficiency, accuracy, and adaptability. Artificial Intelligence (AI) has emerged as a promising approach to enhance automated software testing by leveraging techniques such as machine learning and natural language processing. This paper presents a comprehensive review of AI-powered automated testing methods, examining their applications, benefits, and challenges. The review aims to provide a deeper understanding of how AI contributes to improving defect detection, reducing testing time, and expanding test coverage. By synthesizing recent research and industry practices, this study offers insights to guide future developments and adoption of AI in software quality assurance. |
| Keywords: | Keywords – Artificial Intelligence (AI), Automated Software Testing, Defect Detection, Test Coverage, Test Automation, AI-powered Testing Tools |
| Cite Article: | "A Review of the Effectiveness of AI in Automated Software Testing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.c11-c25, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506202.pdf |
| Downloads: | 000421 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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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Published Paper ID: IJRTI2506202
Registration ID:204972
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: c11-c25 Country: Kano, Kano, Nigeria Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506202 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506202 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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