Modernizing Testing: A Comparative Review of Test Automation Frameworks and AI Tools
Artificial Intelligence has emerged as a revolution in software testing due to the software industry’s rapid expansion, allowing Quality Assurance (QA) teams to produce higher-quality software more quickly and effectively. The comparative assessment of test automation frameworks and Artificial Inte...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2025
|
| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2133/ http://eprints.intimal.edu.my/2133/2/674 http://eprints.intimal.edu.my/2133/3/ij2025_10r.pdf |
| _version_ | 1848766977728839680 |
|---|---|
| author | Sothy Sundara, Raju Wai Yie, Leong |
| author_facet | Sothy Sundara, Raju Wai Yie, Leong |
| author_sort | Sothy Sundara, Raju |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Artificial Intelligence has emerged as a revolution in software testing due to the software industry’s rapid expansion, allowing Quality Assurance (QA) teams to produce higher-quality software more quickly and effectively. The comparative assessment of test automation frameworks and Artificial Intelligence (AI) powered tools presented in this journal emphasises the revolutionary potential of incorporating advanced AI capabilities into software testing procedures. The objective of this study is to create a framework that will enable organisations to implement AI-driven automation in software testing that is compatible with their requirements. The expected results from this research are to come up with a framework that improves accuracy, scalability, and adherence to software standards while minimizing manual effort and increasing overall testing efficiency. The methodology combines questionnaires and a literature review to discover the organisation’s automation technologies and their influence on increasing product quality. A hybrid methodology will be used for this study that will have both quantitative and qualitative data via surveys and interviews review to discover the organisation’s automation technologies and their influence on increasing product quality. |
| first_indexed | 2025-11-14T11:58:57Z |
| format | Article |
| id | intimal-2133 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:59:43Z |
| publishDate | 2025 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-21332025-07-23T06:35:52Z http://eprints.intimal.edu.my/2133/ Modernizing Testing: A Comparative Review of Test Automation Frameworks and AI Tools Sothy Sundara, Raju Wai Yie, Leong QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Artificial Intelligence has emerged as a revolution in software testing due to the software industry’s rapid expansion, allowing Quality Assurance (QA) teams to produce higher-quality software more quickly and effectively. The comparative assessment of test automation frameworks and Artificial Intelligence (AI) powered tools presented in this journal emphasises the revolutionary potential of incorporating advanced AI capabilities into software testing procedures. The objective of this study is to create a framework that will enable organisations to implement AI-driven automation in software testing that is compatible with their requirements. The expected results from this research are to come up with a framework that improves accuracy, scalability, and adherence to software standards while minimizing manual effort and increasing overall testing efficiency. The methodology combines questionnaires and a literature review to discover the organisation’s automation technologies and their influence on increasing product quality. A hybrid methodology will be used for this study that will have both quantitative and qualitative data via surveys and interviews review to discover the organisation’s automation technologies and their influence on increasing product quality. INTI International University 2025-04 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2133/2/674 text en cc_by_4 http://eprints.intimal.edu.my/2133/3/ij2025_10r.pdf Sothy Sundara, Raju and Wai Yie, Leong (2025) Modernizing Testing: A Comparative Review of Test Automation Frameworks and AI Tools. INTI JOURNAL, 2025 (10). pp. 1-9. ISSN e2600-7320 https://intijournal.intimal.edu.my |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Sothy Sundara, Raju Wai Yie, Leong Modernizing Testing: A Comparative Review of Test Automation Frameworks and AI Tools |
| title | Modernizing Testing: A Comparative Review of Test Automation
Frameworks and AI Tools |
| title_full | Modernizing Testing: A Comparative Review of Test Automation
Frameworks and AI Tools |
| title_fullStr | Modernizing Testing: A Comparative Review of Test Automation
Frameworks and AI Tools |
| title_full_unstemmed | Modernizing Testing: A Comparative Review of Test Automation
Frameworks and AI Tools |
| title_short | Modernizing Testing: A Comparative Review of Test Automation
Frameworks and AI Tools |
| title_sort | modernizing testing: a comparative review of test automation
frameworks and ai tools |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://eprints.intimal.edu.my/2133/ http://eprints.intimal.edu.my/2133/ http://eprints.intimal.edu.my/2133/2/674 http://eprints.intimal.edu.my/2133/3/ij2025_10r.pdf |