4.5 Article

Business process model refactoring applying IBUPROFEN. An industrial evaluation

Journal

JOURNAL OF SYSTEMS AND SOFTWARE
Volume 147, Issue -, Pages 86-103

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jss.2018.10.012

Keywords

Business process model; Refactoring; Understandability; Modifiability; Case study

Funding

  1. Spanish Ministry of Economy and Competitiveness [TIN2015-63502-C3-1-R, TIN2015-70259-C2-1-R]
  2. FEDER Fund (European funds for regional development)
  3. project GEMA, Consejeria de Educacion, Cultura y Deporte de la Direccion General de Universidades, Investigacion e Innovacion de la JCCM [SBPLY/17/180501/000293]
  4. Itestra GmbH
  5. JCCM

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Business process models are recognized as being important assets for companies, since appropriate management of them provides companies with a competitive advantage. Quality assurance of business process models has become a critical issue, especially when companies carry out reverse engineering techniques to retrieve their business process models. Thus, companies have to deal with several quality faults, such as unmeaningful elements, fine-grained granularity or incompleteness, which seriously affect understand-ability and modifiability of business process models. The most widely-used method to reduce these faults is refactoring. Although several refactoring operators exist in the literature, there are no refactoring techniques specially developed for business process models obtained by process mining and other reverse engineering techniques. Therefore, this paper presents the use of IBUPROFEN, a business process model refactoring technique for those models obtained by reverse engineering. IBUPROFEN is applied in an indepth case study with a real-life information system belonging to a European bank company. The goal of this industrial evaluation is to prove that the refactoring operators improve the understand-ability and modifiability of the business process model after being refactored. In addition, the scalability of the technique is assessed to demonstrate the feasibility of its application. (C) 2018 Elsevier Inc. All rights reserved.

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