Abstract | ||
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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 Casagrande | 1 | 14 | 0.96 |
Selamawit Woldeamlak | 2 | 12 | 0.92 |
Wei Lee Woon | 3 | 112 | 17.25 |
Hatem H. Zeineldin | 4 | 109 | 22.18 |
Davor Svetinovic | 5 | 255 | 26.03 |