The concept of knowledge-based software architecture has recently emerged as a new way to improve our ability to effectively construct and maintain complex, large-scale software systems. Under this new paradigm, software engineers are able to do evolutionary design of complex systems through architecture specification, design rationale capture, architecture validation and verification, and architecture transformation. This paper surveys some of the important techniques that have been developed to support these activities. In particular, we are interested in knowledge/requirements acquisition and analysis. We survey some tools that use the knowledge-based approach to solve these problems. We also discuss various software architecture styles, architecture description languages (ADLs) and features of ADLs that help build better software systems. We then compare various ADLs based on these features. The efficient methods that were developed for verification, validation and high assurance of architectures are also discussed. Based on our survey results, we give a basis for comparing the various knowledge-based systems and list these comparisons in the form of a table
Relation:
IEEE Transactions on Knowledge and Data Engineering 11(1):187-201
