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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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19457
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
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| Paper Title: | AI-Powered Software Testing: A Paradigm Shift in Quality Assurance |
| Authors Name: | Shruthi S.I. |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_188273
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| Published Paper Id: | IJRTI2310094 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | |
| Abstract: | Software testing is a critical process in software development that involves evaluating a software application to identify defects, errors, and issues. It ensures that the software meets the specified requirements and functions as intended. Effective testing helps in delivering high-quality software that is reliable, secure, and performs well in various scenarios. Testing helps to prevent defects from reaching end-users, reducing the risk of operational failures and costly post-release fixes. Artificial Intelligence (AI) is revolutionizing various industries, including software testing. AI techniques like machine learning, natural language processing, and data analysis are being applied to enhance the efficiency and effectiveness of software testing processes. AI can automate repetitive tasks, generate test cases, predict potential defects, and analyze complex codebases more quickly and accurately than traditional manual methods. By harnessing AI, software testing can become more thorough, scalable, and adaptable to the evolving landscape of software development. |
| Keywords: | Artificial Intelligence, Machine Learning, Deep Learning, Software Testing, AI Tools, Test Case Generation |
| Cite Article: | "AI-Powered Software Testing: A Paradigm Shift in Quality Assurance", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 10, page no.707 - 710, October-2023, Available :http://www.ijrti.org/papers/IJRTI2310094.pdf |
| Downloads: | 000205275 |
| 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: IJRTI2310094
Registration ID:188273
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: 707 - 710 Country: Kodagu, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2310094 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2310094 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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