AI-Driven Automation in Software Testing: Enabling SME Adoption

The rapid evolution of the software industry has positioned Artificial Intelligence (AI) as a game-changer in software testing, enabling Quality Assurance (QA) teams to deliver higher-quality software with greater speed and efficiency. Despite these advantages, many small and medium-sized enterpris...

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Main Authors: Sothy Sundara, Raju, Wai Yie, Leong
Format: Article
Language:English
English
Published: INTI International University 2025
Subjects:
Online Access:http://eprints.intimal.edu.my/2134/
http://eprints.intimal.edu.my/2134/2/675
http://eprints.intimal.edu.my/2134/3/ij2025_11r.pdf
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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 The rapid evolution of the software industry has positioned Artificial Intelligence (AI) as a game-changer in software testing, enabling Quality Assurance (QA) teams to deliver higher-quality software with greater speed and efficiency. Despite these advantages, many small and medium-sized enterprises (SMEs) are hesitant to adopt AI into their software testing due to financial limitations, time constraints, and lack of technical skill resources. The study aims to address these challenges by proposing a framework that enables SMEs to implement AI-based automation in software testing aligned with their operational requirements. The research methodology combines a planned survey and a literature review to identify the commonly used automation tools and assess their impact on product quality. The ultimate goal is to develop a cost-effective, practical process innovation framework tailored to support Malaysian SMEs in adopting AI for software testing.
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spelling intimal-21342025-07-23T06:40:03Z http://eprints.intimal.edu.my/2134/ AI-Driven Automation in Software Testing: Enabling SME Adoption Sothy Sundara, Raju Wai Yie, Leong QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) The rapid evolution of the software industry has positioned Artificial Intelligence (AI) as a game-changer in software testing, enabling Quality Assurance (QA) teams to deliver higher-quality software with greater speed and efficiency. Despite these advantages, many small and medium-sized enterprises (SMEs) are hesitant to adopt AI into their software testing due to financial limitations, time constraints, and lack of technical skill resources. The study aims to address these challenges by proposing a framework that enables SMEs to implement AI-based automation in software testing aligned with their operational requirements. The research methodology combines a planned survey and a literature review to identify the commonly used automation tools and assess their impact on product quality. The ultimate goal is to develop a cost-effective, practical process innovation framework tailored to support Malaysian SMEs in adopting AI for software testing. INTI International University 2025-04 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2134/2/675 text en http://eprints.intimal.edu.my/2134/3/ij2025_11r.pdf Sothy Sundara, Raju and Wai Yie, Leong (2025) AI-Driven Automation in Software Testing: Enabling SME Adoption. INTI JOURNAL, 2025 (11). pp. 1-6. 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
AI-Driven Automation in Software Testing: Enabling SME Adoption
title AI-Driven Automation in Software Testing: Enabling SME Adoption
title_full AI-Driven Automation in Software Testing: Enabling SME Adoption
title_fullStr AI-Driven Automation in Software Testing: Enabling SME Adoption
title_full_unstemmed AI-Driven Automation in Software Testing: Enabling SME Adoption
title_short AI-Driven Automation in Software Testing: Enabling SME Adoption
title_sort ai-driven automation in software testing: enabling sme adoption
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
url http://eprints.intimal.edu.my/2134/
http://eprints.intimal.edu.my/2134/
http://eprints.intimal.edu.my/2134/2/675
http://eprints.intimal.edu.my/2134/3/ij2025_11r.pdf