DocumentCode
2224200
Title
Business Rule Extraction from Legacy System Using Dependence-Cache Slicing
Author
Gang, Xie
Author_Institution
Coll. of Math. & Comput. Sci., Guizhou Normal Univ., Guiyang, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
4214
Lastpage
4218
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.373
Filename
5455182
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