Title :
Business Rule Extraction from Legacy System Using Dependence-Cache Slicing
Author_Institution :
Coll. of Math. & Comput. Sci., Guizhou Normal Univ., Guiyang, China
Abstract :
Business rules are operational rules that business organizations follow to perform various activities. We summarize researches for business rule extraction from legacy system and find that the limitation of these methods is to use static slicing, because static slicing sometimes produces a large portion of a source program, especially for programs with array and pointer variable. This paper presents a method using dependence-cache slicing technique to extract business rules. The proposed approach has been implemented as a system and experimented with a number of programs. The finding shows that our proposed approach can greatly improve previous techniques in slice precision.
Keywords :
business data processing; cache storage; knowledge acquisition; program slicing; software maintenance; business organizations; business rule extraction; dependence-cache slicing; legacy system; source program; static slicing; Computer science; Data mining; Educational institutions; Information science; Input variables; Mathematics; Organizational aspects; Programming profession; Software maintenance;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.373