Shallow Knowledge as an Aid to Deep Understanding in Early Phase Requirements Engineering
IEEE Transactions on Software Engineering
Ontology Based Requirements Analysis: Lightweight Semantic Processing Approach
QSIC '05 Proceedings of the Fifth International Conference on Quality Software
Abstraction-based requirements management
Proceedings of the 2006 international workshop on Role of abstraction in software engineering
Reducing Ambiguities in Requirements Specifications Via Automatically Created Object-Oriented Models
Innovations for Requirement Analysis. From Stakeholders' Needs to Formal Designs
On the Identification of Goals in Stakeholders' Dialogs
Innovations for Requirement Analysis. From Stakeholders' Needs to Formal Designs
Profiling and Tracing Stakeholder Needs
Innovations for Requirement Analysis. From Stakeholders' Needs to Formal Designs
Extracting conceptual graphs from Japanese documents for software requirements modeling
APCCM '09 Proceedings of the Sixth Asia-Pacific Conference on Conceptual Modeling - Volume 96
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Finding important concepts is a common task in requirements engineering. For example, it is needed when building models of a domain or organising requirements documents. Since a lot of information is available in textual form, methods to identify important concepts from texts are potentially useful. Traditional methods for finding important concepts from texts rely on the assumption that the most frequent concepts are the most important. In this paper, we present an approach that does not depend on this assumption. It makes use of two texts to find important concepts comparatively. We show that this approach is viable. It discovers concepts similar to those found by traditional approaches as well as concepts that are not frequent. Finally, we discuss the possibility of extending this work to requirements classification.