This study incorporates the development of a framework and software architecture aimed to improve the integration of software implementation with the general system analysis and design (SAD) process by assuring that conceptual knowledge is effectively preserved in software code. As software systems become more powerful, they are expected to handle a wider range of situations without losing functionality. However, such expectations are often materialized by increasing levels of knowledge about the system domain. It is already well recognized that the process of system implementation, analysis and design requires much knowledge about the modeled domain. However, as the process approaches the implementation phase, many conceptual ideas are lost due to physical concerns. The software architecture developed in this study addresses this situation. It also provides a general conceptual approach for the development of a new generation of semantically rich software architectures.