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.