Abstract

This paper reports on a controlled laboratory experiment to test one of the important claims made for explicit rules analysis in performing Requirements Engineering. The general hypothesis tested is whether adoption of a Rules Base Approach to Requirements Engineering results in a set of conceptual models with fewer semantic errors than the status quo approach. The experimental findings support the hypothesis.

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