We present a new framework for knowledge acquisition using CBR and model inference. Model Inference tries to obtain new descriptors (predicates) with interaction of a domain expert, regarding the predicates as the slots that compose a case structure, focusing on the function of predicate invention. The framework has two features: (1) CBR obtains a more suitable group of slots (a case structure)incrementally through cooperation with model inference, and (2) model inference with predicate invention capability discovers the rules which deal with a given task better. The system has been applied to SA/SD software development method. The system has invented a new predicate that is a so important to describe structural diagrams and generated three useful rules to modify them. And the case structure has been improved using the invented predicate. The experimental results show us that the framework is promising to acquire knowledge in the field of SA/SD software development method. Furthermore, we discuss future works about the framework.
