报告人：杨经纬 博士

时间：2022年3月30日（星期三）下午 3:00-4:00

地点：T2-202

语言：英语

报告摘要：

Being able to recognize new user requirements could help organizations gain their edges in business competition. Comparing to traditional requirements elicitation approaches, a data-driven approach has its own technical merits, with respects to its quickness and objectiveness. However, making the leap from data to requirements is not easy. In this talk, I will present a series of work, utilizing a data model, called Situation, under the conceptual architecture of DIKW (Data-Information-Knowledge-Wisdom), to elicit new requirements from user behavioral and contextual data. A case study on an online library system will be presented, followed by a discussion on open questions in the domain of data-driven requirements engineering.

讲者简介：

Dr. Jingwei Yang is an Assistant Professor in Data Science at UIC. He received his Ph.D. in Computer Science at Iowa State University, in 2017. His research emphasizes data-driven concepts and techniques for modeling and analyzing the human perspectives of software system/service, and aims at bridging the gaps between the latest computing technologies and industry-grade applications. His current research interests include 1) Quality assurance of AI-based components, 2) Decision-making based on the DIKW framework.