Аннотация
The process of information requirements determination requires effective
communication between systems analysts and users of the system to
be developed. The analyst's ability to discover user requirements
is partially determined by the analyst's familiarity with and ability
to communicate in the user's domain of knowledge and discourse.
One such aspect of the user knowledge domain is concrete terminology
versus more abstract, conceptual understanding. This paper documents
the results of an experiment which compared knowledge representation
used by analysts in a systems development discovery task. We hypothesized
that the discovery task would be more effective when the analyst's
representation was biased toward the concrete. We found that systems
analysts whose initial representation was a physical data flow diagram
(concrete) made more correct modifications and fewer errors than
systems analysts who started with a logical data flow diagram (abstract).
The two groups used the same amount of time for each of the sub-tasks.
These results indicate that analyst knowledge and use of concrete
terms in the user knowledge domain is of more utility in the discovery
task than abstract, conceptual domain knowledge.
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