A Unified Model of Requirements Elicitation
Journal of Management Information Systems
Criteria used in selecting effective requirements elicitation procedures
Proceedings of the 2007 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Enhancing Elicitation Technique Selection Process in a Cooperative Distributed Environment
REFSQ '08 Proceedings of the 14th international conference on Requirements Engineering: Foundation for Software Quality
A new method of requirements engineering process design
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
Knowledge management acquisition improvement by using software engineering elicitation techniques
Computers in Human Behavior
Systematizing requirements elicitation technique selection
Information and Software Technology
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By its very nature, software development consists of many knowledge-intensive processes. One of the most difficult to model, however, is requirements elicitation. This paper presents a mathematical model of the requirements elicitation process that clearly shows the critical role of knowledge in its performance. One meta-process of requirements elicitation, selection of anappropriate elicitation technique, is also captured in the model. The values of this model are: (1) improved understanding of what needs to be performed during elicitation helps analysts improve their elicitation efforts, (2) improved understanding of how elicitation techniques are selected helps less experienced analysts be as successful as more experienced analysts, and (3) as we improve our ability to perform elicitation, we improve the likelihood that the systems we create will meet their intended customers' needs. Many papers have been written that promulgate specific elicitation methods. A few have been written that model elicitation in general. However, none have yet to model elicitation in a way that makes clear the critical role played by knowledge. This paper's model captures the critical roles played by knowledge in both elicitation and elicitation technique selection.