A Multiplicity Approach for Equilibrium-Driven Complexity Control

This paper uses a software technology approach to tackle the problem of complexity control. A multiplicity of system models, abstraction levels and development primitives are employed, with special attention paid to the use of relationship in the tackling process. The paper explains the steps needed to locate the balance point between competing factors in the search of the final equilibrium state. The benefits include extracting the part and relationship ideas found in software techniques and applied into controlling complexity.