About me
Hello! I am Danushka Liyanage, Postdoctoral Research Fellow at the University of Sydney, specialising in automated software testing and database benchmarking. My research focuses on quantitative decision-making for automated software testing techniques and the development of rigorous benchmarking methodologies for modern data management systems. During my doctoral studies, I introduced statistical tools for evaluating and predicting the performance of automated software testing techniques.
Beyond academia, I bring over four years of industry experience as a Data Scientist, where I led and contributed to projects in predictive modelling, optimisation, and time series forecasting across the telecommunications, retail, and apparel sectors. I am adept at translating complex data into actionable business insights and have expertise in building predictive and classification models using both conventional and machine learning approaches. My professional experience includes leading teams, mentoring analysts, and delivering enterprise-grade solutions that combine statistical rigor with practical impact.
I earned my Bachelor of Science degree from the University of Colombo, Sri Lanka, specialising in Industrial Statistics with first-class honours. In 2016, I was awarded the gold medal for the best student in Industrial Statistics.
News
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September 2025 — 👥 Invited to serve as a program committee member for FSE 2026
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August 2025 — 📝 Invited as an external reviewer to POPL 2025
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A Benchmark for Databases with Varying Value Lengths
TPCTC - 2025 -
Assessing Reliability of Statistical Maximum Coverage Estimators in Fuzzing
ICSME - 2025 -
Extrapolating Coverage Rate in Greybox Fuzzing
ICSE - 2024 -
Reachable Coverage: Estimating Saturation in Fuzzing
ICSE - 2023 -
Estimating Residual Risk in Greybox Fuzzing
ESEC/FSE - 2021 -
Security Guarantees for Automated Software Testing
ESEC/FSE - 2021