Title:
The Role of Domain Knowledge Representation in Requirements Elicitation
Author(s):
Akira Osada, Daigo Ozawa, Haruhiko Kaiya, and Kenji Kaijiri.
Source:
In Proc. of the
25th IASTED International Multi-Conference Software Engineering (SE2007), pp. 84-92, Innsbruck, Austria, Feb. 2007. IASTED. ID: 552-135.
Abstract:
An information system is embedded in a specific business
or activities in an organization, thus, the knowledge about
such a business and an organization, that is domain knowledge,
is crucially important in a requirements analysis for
such a system. Therefore, the effective and efficient usage
of domain knowledge is very important in requirements
analysis. In order to use domain knowledge documents effectively
and efficiently, not only the contents but also the
representation is important. In this paper, we report the
experimental results about the effect of two different representations
during requirements analysis. We designed four
metrics that measure the effect of the requirements specification.
By using the metrics, we did comparative experiments
that evaluate the effect of the representations on
the quality of requirements documents. We analyzed two
requirements documents each of which is constructed by
using different domain knowledge representations: one is
dictionary style and the other is UML style. As a result,
dictionary style seemed to be adequate for the comprehensive
description and UML style seemed to be adequate for
the as-is reuse of the domain knowledge.
Related Paper(s):