Abstract
This paper presents an effort in integrating optimization modeling with data analytics in a goal-oriented requirements engineering KAOS method. We developed a step by step guidelines to produce a complete model, including goal, responsibility, operation, and object modeling. We analyzed and elaborated the method through two industry examples. All of this was done with the additional constraint to develop antifragile models that can capture realistic assumptions and can adapt to change especially in unexpected circumstances.
Original language | English (US) |
---|---|
State | Published - 2017 |
Event | 21st Pacific Asia Conference on Information Systems: Societal Transformation Through IS/IT, PACIS 2017 - Langkawi, Malaysia Duration: Jul 16 2017 → Jul 20 2017 |
Conference
Conference | 21st Pacific Asia Conference on Information Systems: Societal Transformation Through IS/IT, PACIS 2017 |
---|---|
Country/Territory | Malaysia |
City | Langkawi |
Period | 7/16/17 → 7/20/17 |
Keywords
- Data science
- KAOS
- Optimization
- Requirements engineering
ASJC Scopus subject areas
- Information Systems