Criteria for Comparing Information Modeling Methods
Keng Leng Siau · Advances in database research (ADR) book series/Advances in database research series · 2005
Information modeling methods are key to the success of IS development projects. The problem in the software engineering field is not the lack of modeling methods but the proliferation of modeling methods with little theoretical foundation and empirical evidence to support their usefulness. Evaluation techniques are therefore necessary to compare and contrast these modeling methods. In this chapter, we suggest an evaluation approach based on the human information processing paradigm and the theory of equivalence of representations. This evaluation approach proposes that modeling methods can be evaluated and compared using two criteria: informational and computational equivalence.