Papers

1

Total Citations

65

H-Index

1

About

Ke Mao is a pioneering researcher in software engineering, with a primary focus on automated software testing, mobile app quality assurance, and the innovative intersection of robotics and software testing. His most notable contribution is the development of Axiz, a robotic-test generator for mobile devices that introduced a truly black-box automation approach, fundamentally shifting how testers interact with mobile applications. This groundbreaking work, published in 2017 and cited over 65 times, demonstrated that robots could perform repetitive testing tasks more effectively than traditional software-based tools, opening new avenues for black-box testing. Mao's research has been instrumental in advancing the field of automated testing, particularly for mobile apps, where his work on robotic testing has inspired further exploration into physical automation for software quality. His achievements highlight a visionary approach to solving real-world testing challenges, making him a key figure in the evolution of software testing methodologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
65
Total Citations
65
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Testing of Mobile Apps for Truly Black-Box Automation
65 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Centre for Research in Engineering Surface Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago