Nur Faezah Mohamad

MIMOS (Malaysia)

Papers

1

Total Citations

7

H-Index

1

About

Driven by the intersection of software engineering and smart manufacturing, Nur Faezah Mohamad’s research focuses on software testing automation, open-source tool evaluation, and quality assurance in Industry 4.0 environments. Her most cited work, a 2020 comparative study on open-source automated testing tools for smart manufacturing, provides critical insights into productivity rates, helping software teams transition from manual to automated testing. This study has garnered 7 citations, reflecting its practical relevance for engineers seeking efficient, cost-effective testing solutions. Beyond this, Mohamad’s contributions address the challenges of test planning, execution, and reporting in emerging technology contexts, offering actionable frameworks for improving software reliability. Her work is particularly notable for bridging the gap between theoretical automation benefits and real-world implementation hurdles, making her a valuable voice in the software quality community. As manufacturing becomes increasingly digitized, her research continues to inform best practices for ensuring robust, scalable testing processes.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Software Testing Automation: A Comparative Study on Productivity Rate of Open Source Automated Software Testing Tools For Smart Manufacturing
7 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: MIMOS (Malaysia)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago