Papers
2
Total Citations
7
H-Index
2
About
Lidan Lin is a researcher advancing the reliability and safety of intelligent systems, with a primary focus on automated software testing and coverage analysis. Her work addresses critical challenges in verifying autonomous technologies, including self-driving cars, robotics, and smart city infrastructure, where system defects can have severe real-world consequences. Lin’s major contributions include the development of ISTA (2023) and its enhanced version ISTA+ (2024), novel frameworks for automatic test case generation and optimization that leverage coverage analysis to systematically uncover vulnerabilities in intelligent systems. These methods improve the efficiency and thoroughness of testing, helping to prevent failures such as the misidentification errors that have led to autonomous vehicle collisions. Her 2023 paper has garnered 4 citations, while the 2024 follow-up has 3, reflecting growing interest in her practical, coverage-driven approach to ensuring software robustness. Lin’s work is particularly notable for its direct applicability to high-stakes domains, offering engineers and researchers actionable tools to validate intelligent systems before deployment. By bridging the gap between theoretical coverage metrics and real-world testing needs, she is helping to build safer, more trustworthy autonomous technologies.
Research Focus
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Top Papers
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