Keynote Speakers

Big data: A Requirements Engineering Perspective

Lawrence Chung
Department of Computer Science
University of Texas at Dallas, U.S.A.

Big data promises to lead to better decisions, which can bring greater operational efficiency, productivity, reduced cost and risk, and the like to a variety of domains. But is the use of big data always going to be beneficial, and if so how? In answering this question, I will first survey research in big data from a requirements engineering perspective. Afterwards, I will describe a goal-oriented approach – which adopts but goes beyond an object-oriented approach, to beneficially using big data. This approach is intended to rationally “connect the dots”, from stakeholders’ problems and needs, business key performance indices, important insights through analytics for both AS-IS and TO-BE, machine learning techniques, SQL/NoSQL database queries, etc. I will talk about how this approach can aid business decision making in general and more specifically in business process reengineering, possibly with a tool support. At the end, I will outline some of the software engineering challenges in more beneficially using big data.

Lawrence Chung has been working in Requirements Engineering , System/Software Architecture and Systems Engineering. He was the principal author of the research monograph “Non-Functional Requirements in Software Engineering", and has been involved in developing “RE-Tools” (a muiti-notational requirements modeling project), “HOPE” (a smartphone app project for people with difficulties), and “Silverlining” (a Google-award winning project on cloud computing and big data).  He has been a keynote speaker, invited lecturer, co-editor-in-chief for Journal of Innovative Software, editorial board member for Requirements Engineering Journal  and  International Journal of Networked and Distributed Computing, editor for ETRI Journal, and program co-chair for various international events.  He is currently on the faculty of Computer Science at University of Texas at Dallas.  He received his Ph.D. in Computer Science in 1993 from University of Toronto.