AI-Driven Automation in Software Testing: Enabling SME Adoption

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

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Artificial Intelligence (AI), Quality Assurance (QA), Small and Medium-Sized Enterprise (SMEs), Software Testing, process innovation
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	11 Apr 2025 08:17
Last Modified:	11 Apr 2025 08:17
URI:	http://eprints.intimal.edu.my/id/eprint/2134

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