Where mathematics meets software testing
Having the knowledge of mathematical principles does help in software testing.
This talk highlights the vital role of mathematics in software testing, showcasing how concepts like data distribution, formal estimation methods, and probabilistic models enhance test coverage, defect detection, and automation.
It offers practical insights for developers, testers, and researchers to build more reliable and efficient software by applying mathematical principles to real-world testing challenges.
This talk highlights the vital role of mathematics in software testing, showcasing how concepts like data distribution, formal estimation methods, and probabilistic models enhance test coverage, defect detection, and automation.
It offers practical insights for developers, testers, and researchers to build more reliable and efficient software by applying mathematical principles to real-world testing challenges.