Paper Info
Title
A pattern matching and clustering based approach for supporting requirements transformation
Abstract
One problem in requirements transformation from informal prose requirements to formal specifications is natural language processing. Although natural language understanding is still not practical for general requirements processing, syntactical information is useful for concept extraction. This paper discusses the correspondence between requirements sentence structure patterns and the events/transition concepts. It addresses how this correspondence might be utilized to extract events and transitions from conditional sentences. A pattern matching and clustering based approach is proposed to support event and transition extraction. The approach first selects requirements that are likely to contain event/transition information and then groups similar requirements to extract events. Once events are identified, the original requirements are clustered based on events to identify, related transition information. The approach is simple and does not require a parser
Year
DOI
Venue
1994
10.1109/ICRE.1994.292387
ICRE
Keywords
Field
DocType
syntactical information,events/transition concepts,natural languages,requirements transformation,informal prose requirements,pattern matching,formal specifications,natural language understanding,systems analysis,requirements sentence structure patterns,concept extraction,natural language processing,software engineering,formal specification,clustering,real time systems,automata,data mining,software systems
Specification language,Data mining,Computer science,Formal specification,Natural language,Natural language processing,Language identification,Artificial intelligence,Cluster analysis,Software requirements specification,System requirements specification,Pattern matching
Conference
Citations 
PageRank 
References 
2
0.46
9
Authors
2
Name
Order
Citations
PageRank
Jianhong Liang18717.86
James D. Palmer25314.93