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Knowledge-Based AOP Framework for Business Rule Aspects in Business Process
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  • Knowledge-Based AOP Framework for Business Rule Aspects in Business Process
  • Knowledge-Based AOP Framework for Business Rule Aspects in Business Process
저자명
Park. Chan-Kyu,Choi. Ho-Jin,Lee. Dan-Hyung,Kang. Sung-Won,Cho. Hyun-Kyu,Sohn. Joo-Chan
간행물명
ETRI journal
권/호정보
2007년|29권 4호|pp.477-488 (12 pages)
발행정보
한국전자통신연구원
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

In recent years, numerous studies have identified and explored issues related to web-service-oriented business process specifications, such as business process execution language (BPEL). In particular, business rules are an important cross-cutting concern that should be distinguished from business process instances. In this paper, we present a rule-based aspect oriented programming (AOP) framework where business rule aspects contained in business processes can be effectively separated and executed. This is achieved by using a mechanism of the business rule itself at the business rule engine instead of using existing programming language-based AOP technologies. Through some illustrative examples, this work also introduces a method by which business rule aspects, separated through an external rule engine, can be represented and evaluated. We also demonstrate how they can be dynamically woven and executed by providing an implementation example which uses two open-source-based products, the Mandarax rules engine and Bexee BPEL engine.