Anjana Devi N Kuppusamy

MIMOS (Malaysia)

Papers

1

Total Citations

7

H-Index

1

About

Anjana Devi N Kuppusamy is a researcher whose work centers on software testing automation, with a particular focus on enhancing productivity in smart manufacturing environments. Her key research areas include automated software testing, open source testing tools, and their application in emerging technology sectors. Her most-cited paper, "Software Testing Automation: A Comparative Study on Productivity Rate of Open Source Automated Software Testing Tools For Smart Manufacturing" (2020, 7 citations), addresses the critical challenge of manual testing inefficiencies in modern software development. In this work, she systematically compares open source automation tools to demonstrate how they can significantly improve test planning, case creation, execution, and reporting processes for software test engineers. By quantifying productivity gains, her research provides actionable insights for project teams seeking to adopt cost-effective automation solutions. This contribution holds particular relevance as industries increasingly rely on smart manufacturing and agile development practices. Kuppusamy's work bridges the gap between theoretical testing methodologies and practical implementation, offering valuable guidance for practitioners navigating the complexities of software quality assurance in rapidly evolving technological landscapes.

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