A comprehensive investigation of BPMN models generation from textual requirements—techniques, tools and trends

Bilal Maqbool*, Farooque Azam, Muhammad Waseem Anwar, Wasi Haider Butt, Jahan Zeb, Iqra Zafar, Aiman Khan Nazir, Zuneera Umair

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

Business Process Modeling Languages (BPML’s) are continuously getting attraction of software development communities due to the fact of specifying complex business requirements with simplicity. However, the development of business process models from textual requirements through existing BPML’s is a time consuming task. In this context, Natural Language Processing (NLP) techniques are commonly applied to automatically generate business process models from textual requirements. Business Process Model and Notation (BPMN) is a well-known BPML. This article comprehensively investigates modern techniques, tools and trends for the generation of BPMN models from textual requirements by utilizing NLP techniques. Particularly, a Systematic Literature Review (SLR) is performed to select and evaluate 36 research studies published in the span of 2010–2018. As a result, 11 NLP and 8 BPMN tools are identified. Furthermore, 8 commonly generated BPMN constructs are recognized. Finally, a comparative analysis of NLP and BPMN tools is performed with the help of important evaluation parameters. It is concluded that the existing NLP techniques and tools significantly simplify the process of BPMN models generation from textual requirements. However, the existing approaches are inadequate to be applied in the industries, especially for real-time systems.

Original languageEnglish
Title of host publicationInformation Science and Applications 2018 - ICISA 2018
EditorsKuinam J. Kim, Nakhoon Baek
PublisherSpringer Singapore
Pages543-557
Number of pages15
Edition1st
ISBN (Electronic)9789811310560
ISBN (Print)9789811310553, 9789811345579
DOIs
Publication statusPublished - 24 Jul 2018
EventInternational Conference on Information Science and Applications, ICISA 2018 - Kowloon, Hong Kong
Duration: 25 Jun 201827 Jun 2018
https://link.springer.com/book/10.1007/978-981-13-1056-0 (Conference proceedings)

Publication series

NameLecture Notes in Electrical Engineering
Volume514
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119
NameICISA: International Conference on Information Science and Applications

Conference

ConferenceInternational Conference on Information Science and Applications, ICISA 2018
Country/TerritoryHong Kong
Period25/06/1827/06/18
Internet address

Scopus Subject Areas

  • Industrial and Manufacturing Engineering

User-Defined Keywords

  • BPML
  • BPMN
  • Business process model and notation
  • Natural language processing
  • NLP

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