We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
NLP-KAOS for Systems Goal Elicitation: Smart Metering System Case Study.
- Authors
Casagrande, Erik; Woldeamlak, Selamawit; Woon, Wei Lee; Zeineldin, H. H.; Svetinovic, Davor
- Abstract
This paper presents a computational method that employs Natural Language Processing (NLP) and text mining techniques to support requirements engineers in extracting and modeling goals from textual documents. We developed a NLP-based goal elicitation approach within the context of KAOS goal-oriented requirements engineering method. The hierarchical relationships among goals are inferred by automatically building taxonomies from extracted goals. We use smart metering system as a case study to investigate the proposed approach. Smart metering system is an important subsystem of the next generation of power systems (smart grids). Goals are extracted by semantically parsing the grammar of goal-related phrases in abstracts of research publications. The results of this case study show that the developed approach is an effective way to model goals for complex systems, and in particular, for the research-intensive complex systems.
- Subjects
REQUIREMENTS engineering; ENGINEERING; TECHNICAL specifications; NATURAL language processing; ARTIFICIAL intelligence
- Publication
IEEE Transactions on Software Engineering, 2014, Vol 40, Issue 10, p941
- ISSN
0098-5589
- Publication type
Article
- DOI
10.1109/TSE.2014.2339811