A Review of Methods for Developing Business Rules Engine

Abstract: It has been widely recognized that many future database applications including commun ications, manufacturing and engineering processes will require so me kind of fact based reasoning. Fact based systems often spend a large fraction of their execution time matching ru le patterns with data. A business rules engine enables an organization to increase its agility and speed to adapt to business process execution. This paper presents a systematic literature review of different methods for developing business rules engine for the fact based systems. First, we provide a pattern matching algorithm Rete Net work which is used in OPS5, which efficiently identify the applicable rules. The second method is YES/M VS real time expert systems which extends the Rete algorithm a nd also extends the use of expert systems techniques to continuous, real time, interactive control applications. The third method is YES/ OPS system which advances the Rete algorith m. The fourth method is Set-Oriented Constructs which forwards the Rete Rule Bases to Database Systems. The fifth method is LEAPS which produces the fastest executables of OPS5 ru le sets. The sixth method is BPRE Ru le Matching Algorith m wh ich is constraint -based rule matching algorith m. On the basis of review of different methods presented here will be very useful to develop a business rules engine for fact based systems. It is believed that this review and classification scheme proposed in the paper would serve as a guide for both researches and practitioners in the further studies.

Keywords: business rules, business informat ion systems, business processes, business rule engine