Paper Info
Title
An empirical comparison of static and dynamic business process mining
Abstract
Legacy information systems age over time as a consequence of the uncontrolled maintenance and need to be modernized. Process mining allows the discovery of business processes embedded in legacy information systems, which is necessary to preserve the legacy business knowledge, and align them with the new, modernized information systems. There are two main approaches to address the mining of business processes from legacy information systems: (i) the static approach that only considers legacy source code's elements from a syntactical viewpoint; and (ii) the dynamic approach, which also considers information derived by system execution. Unfortunately, there is a lack of empirical evidence facilitating the selection of one of them. This paper provides a formal comparison of the static and dynamic approach through a case study. This study shows that the static approach provides better performance, while the dynamic approach discovers more accurate business processes.
Year
DOI
Venue
2011
10.1145/1982185.1982249
SAC
Keywords
Field
DocType
business process,dynamic approach,main approach,empirical comparison,modernized information system,legacy source code,legacy information systems age,legacy business knowledge,legacy information system,dynamic business process mining,accurate business process,static approach,process mining,software modernization,empirical evidence,information system
Artifact-centric business process model,Business process management,Software engineering,Computer science,Business process modeling,Business process discovery,Business Process Model and Notation,Business rule,Process management,Software modernization,Process mining
Conference
Citations 
PageRank 
References 
3
0.37
17
Authors
5
Name
Order
Citations
PageRank
Ricardo Pérez-Castillo115423.03
Ignacio García Rodríguez De Guzmán219123.48
Mario Piattini34232354.63
Barbara Weber430.37
Ángeles S. Places511417.30