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A Framework for Automated Reengineering of BPMN Models by Excluding Inefficient Activities

Authors:

Muhammad Waseem AnwarAuthors Info & Claims

ICSCA '20: Proceedings of the 2020 9th International Conference on Software and Computer Applications

Pages 147 - 151

https://doi.org/10.1145/3384544.3384549

Published: 17 April 2020 Publication History

Abstract

Business Process Reengineering (BPR), originally floated in the early 1990s, is gaining importance in industry and academia. BPR helps the organization rethink their work rationally by redesigning their current processes and resource consumption. Due to the high rate of software evolution, there is a need to run legacy systems on a new computing platform. BPMN models are subject to erroneous or unnecessary activities that are taking too many resources. Such process models are leading to additional cost and effort. Re-engineering help in improving the legacy system or in this context a set of legacy processes to perform better than before. This work presents a framework for automatic reengineering of a BPMN by identifying activities that are taking too much time and resources but are insignificant to the business process. An extensive literature review has led to the extraction of three important parameters based on which the business process activities can be evaluated as necessary or unnecessary i.e. time, resources and priority of an activity. The proposed model has been validated using a case study on the Claim Management System. This work shall be beneficial for the research community and developers targeting construction of a BPR tool

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Cited By

Leewis SSmit KVersendaal J(2024)Discovering operational decisions from data—a framework supporting decision discovery from dataDECISION10.1007/s40622-024-00402-2Online publication date: 24-Oct-2024
https://doi.org/10.1007/s40622-024-00402-2
TARIQ AAHMED KHAN S(2022)Industry 4.0 Based Business Process Re-Engineering Framework for Manufacturing Industry Setup Incorporating Evolutionary Multi-Objective OptimizationIEICE Transactions on Information and Systems10.1587/transinf.2022EDP7021E105.D:7(1283-1295)Online publication date: 1-Jul-2022
https://doi.org/10.1587/transinf.2022EDP7021
Kryukov OVoloshko A(2022)Structural Analysis of the Process Based on Extended Petri Nets with Semantic RelationsAdvances in Automation III10.1007/978-3-030-94202-1_22(224-236)Online publication date: 18-Jan-2022
https://doi.org/10.1007/978-3-030-94202-1_22
Show More Cited By

Index Terms

A Framework for Automated Reengineering of BPMN Models by Excluding Inefficient Activities
1. Software and its engineering
  1. Software notations and tools
    1. Context specific languages
      1. Visual languages
    2. Development frameworks and environments
      1. Integrated and visual development environments

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ICSCA '20: Proceedings of the 2020 9th International Conference on Software and Computer Applications

February 2020

382 pages

ISBN:9781450376655

DOI:10.1145/3384544

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 April 2020

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ICSCA 2020

ICSCA 2020: 2020 9th International Conference on Software and Computer Applications

February 18 - 21, 2020

Langkawi, Malaysia

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Cited By

Leewis SSmit KVersendaal J(2024)Discovering operational decisions from data—a framework supporting decision discovery from dataDECISION10.1007/s40622-024-00402-2Online publication date: 24-Oct-2024
https://doi.org/10.1007/s40622-024-00402-2
TARIQ AAHMED KHAN S(2022)Industry 4.0 Based Business Process Re-Engineering Framework for Manufacturing Industry Setup Incorporating Evolutionary Multi-Objective OptimizationIEICE Transactions on Information and Systems10.1587/transinf.2022EDP7021E105.D:7(1283-1295)Online publication date: 1-Jul-2022
https://doi.org/10.1587/transinf.2022EDP7021
Kryukov OVoloshko A(2022)Structural Analysis of the Process Based on Extended Petri Nets with Semantic RelationsAdvances in Automation III10.1007/978-3-030-94202-1_22(224-236)Online publication date: 18-Jan-2022
https://doi.org/10.1007/978-3-030-94202-1_22
Al-Anqoudi YAl-Hamdani AAl-Badawi MHedjam R(2021)Using Machine Learning in Business Process Re-EngineeringBig Data and Cognitive Computing10.3390/bdcc50400615:4(61)Online publication date: 2-Nov-2021
https://doi.org/10.3390/bdcc5040061

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