Flexible process modeling through decision tables
SE '08 Proceedings of the IASTED International Conference on Software Engineering
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This paper discusses a solution to improve flexibility of BPMS and promote its reuse by using an AI technique: Case-based Reasoning, that is, to solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation. The main interest in CBR relies on its allowance of a system to avoid past failures and exploit past successes. The focus of our business process management depicted is on the transformation of a business goal's states, which are the most important scenarios of enterprises. A case is a template of common business processes, which combines a series of activities to meet some special goals, in another word, to complete goal's states transformation. Cases can be modified to meet the new business goals specification, and restored in repository, which contributes to knowledge base. The paper discusses cases retrieval, reusing, revising, and retaining based on a goal's states transformation and gives cases representation. It emphasizes the similarity measure of cases and gives match arithmetic.