Shallow Knowledge as an Aid to Deep Understanding in Early Phase Requirements Engineering
IEEE Transactions on Software Engineering
Fourth international workshop on Software quality assurance: in conjunction with the 6th ESEC/FSE joint meeting
Improved Processing of Textual Use Cases: Deriving Behavior Specifications
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
Ambiguity in Natural Language Requirements Documents
Innovations for Requirement Analysis. From Stakeholders' Needs to Formal Designs
International Journal of Metadata, Semantics and Ontologies
Semi-automatic generation of UML models from natural language requirements
Proceedings of the 4th India Software Engineering Conference
An algorithm for transforming design text ROM diagram into FBS model
Computers in Industry
| Hi-index | 0.00 |
Ambiguity in requirement specifications causes numerous problems; for example in defining customer/supplier contracts, ensuring the integrity of safety-critical systems, and analysing the implications of system change requests. A direct appeal to formal specification has not solved these problems, partly because of the restrictiveness and lack of habitability of formal languages. An alternative approach, described in this paper, is to use natural language processing (NLP) techniques to aid the development of formal descriptions from requirements expressed in controlled natural language. While many problems in NLP remain unsolved, we show that suitable extensions to existing tools provide a useful platform for detecting and resolving ambiguities. Our system is demonstrated through a case-study on a simple requirements specification. Keywords: Natural Language Processing, Tool Support, Ambiguity Detection.