Retrieval & Adaptation in Drj Vu, a Case-Based Reasoning System for Software Design

Several current AI techniques are based on the reuse of problem solving knowledge. Case-based reasoning (CBR) is one such technique. In CBR problem solutions are stored as cases, and to solve a new problem a suitable case is retrieved and adapted. This paper examines adaptation in the context of a case-based reasoning system for software design called Drj~t Vu. The paper describes Drj ~ Vu’s two-tier approach to adaptation which utilises both domain specific and domain independent adaptation knowledge. In addition we describe how D6jh Vu provides two adaptation support mechanisms (adaptive problem decomposition and adaptation-guided retrieval) to relieve the adaptation load and how these mechanisms use adaptation knowledge in different ways to achieve their goals