DocumentCode :
655275
Title :
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
Link To Document :
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