Title
NLP-KAOS for Systems Goal Elicitation: Smart Metering System Case Study.
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 automati...
Year
DOI
Venue
2014
10.1109/TSE.2014.2339811
IEEE Transactions on Software Engineering
Keywords
Field
DocType
Data mining,Taxonomy,Ontologies,Data models,Natural language processing,Abstracts,Data collection
Ontology (information science),Complex system,Data modeling,Smart grid,Computer science,Requirements engineering,KAOS,Grammar,Natural language processing,Artificial intelligence,Parsing
Journal
Volume
Issue
ISSN
40
10
0098-5589
Citations 
PageRank 
References 
12
0.59
30
Authors
5
Name
Order
Citations
PageRank
Erik Casagrande1140.96
Selamawit Woldeamlak2120.92
Wei Lee Woon311217.25
Hatem H. Zeineldin410922.18
Davor Svetinovic525526.03