Discovering Business Processes in Legacy Systems Using Business Rules and Log Mining

Author

do Nascimento, Gleison S. ; Iochpe, C. ; Thom, Lucineia ; Kalsing, Andre C.

Author_Institution

Inf. Dept., Fed. Univ. of Rio Grande do Sul, Porto Alegre, Brazil

fYear

2013

fDate

11-13 Sept. 2013

Firstpage

207

Lastpage

212

Abstract

This paper shows a method to semi-automate the discovery of business processes implemented implicitly in the source code of legacy systems. The method identifies the encoding of the business activities through the business rules implemented in legacy source code. In this paper we propose a tool to executes the source code instrumentation, identifying the business rules implemented in the legacy system and enabling the creation of event logs. This allows using log mining techniques to discover the partial order of execution of the business rules. Thus it is possible to discover business processes implemented implicitly in the source code of legacy systems. This paper also presents a case study conducted in a medical information system.

Keywords

business data processing; data mining; software maintenance; source code (software); system monitoring; business activity encoding; business processes discovery; business rules; event logs; legacy source code; legacy systems; log mining techniques; medical information system; source code instrumentation; Conferences; business processes; business rules; legacy system; process mining;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Business Engineering (ICEBE), 2013 IEEE 10th International Conference on

Conference_Location

Coventry

Type

conf

DOI

10.1109/ICEBE.2013.31

Filename

6686264