  For computational physics simulations, code verification plays a major role
in establishing the credibility of the results by assessing the correctness of
the implementation of the underlying numerical methods. In computational
electromagnetics, surface integral equations, such as the method-of-moments
implementation of the magnetic-field integral equation, are frequently used to
solve Maxwell's equations on the surfaces of electromagnetic scatterers. These
electromagnetic surface integral equations yield many code-verification
challenges due to the various sources of numerical error and their possible
interactions. In this paper, we provide approaches to separately measure the
numerical errors arising from these different error sources. We demonstrate the
effectiveness of these approaches for cases with and without coding errors.
