On the design of an advanced business rule engine

Abstract

Business rules govern how well‐managed companies perform every day. They are expected to be written in natural language because they are devised by business people. That makes it difficult to translate them automatically into executable rules that can be integrated into typical information systems. Our industrial and academic research concludes that the current tools have a number of problems, namely: many of them do not pay any attention to the SBVR standard; some of them are not multi‐language; most of them cannot achieve perfect parsing accuracy; some of them are not domain agnostic; some of them use proprietary technologies; some of them do not produce executable rules; and none supports exploratory what‐if analyses natively. In this article, we present Tier‐Rules, which is a system that overcomes the previous problems. We also report on an industrial case study that helps illustrate it in practice.

Towards a Rule Modeling Framework for Context-aware Smart Service Systems

“…Other studies have focused on transforming business rules into executable rules in AI-based systems, or more precisely, in rule-based systems. For example, there is a study that proposes Tier-Rules, a platform to transform and manage business rules written in natural language in executable rules to enhance collaboration between business team and IT team in the rule implementation [19]. Another study focuses on an automated transformation tool that converts semanticbased business rules into UML class diagrams to ensure the correctness and ease the execution of the business rules [20].…”