报告题目：Separable Detecting Arrays
摘要：
Detecting arrays (DAs) are utilized to create a test suite capable of identifying a specific number of interaction faults and assessing whether the number of faulty interactions among factors in a component-based system exceeds a predefined threshold. However, potential noise or measurement errors can cause one or more tests to fail to execute correctly, leading to either no response or an outlier response. To address this issue, Seidel et al. introduced the concept of detecting arrays (DAs) with separation, also known as separable detecting arrays(SDAs). In this talk, we will introduce the latest progress we have made on this topic. Additionally, we will delve into some further research questions and challenges that remain to be explored.
报告人简介：
史册，上海立信会计金融学院教授，研究方向为组合数学理论及其应用、试验设计、软件故障诊断。主持完成国家自然科学基金青年项目和上海市自然科学基金面上项目各一项。在Annals of Statistics、Science China Mathematics等期刊发表论文27篇，其中SCI收录19篇。
邀请人：唐煜