A Comprehensive Investigation of BPMN Models Generation from Textual Requirements—Techniques, Tools and Trends

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

10 Scopus Citations
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Author(s)

  • Bilal Maqbool
  • Farooque Azam
  • Muhammad Waseem Anwar
  • Wasi Haider Butt
  • Jahan Zeb
  • Iqra Zafar
  • Aiman Khan Nazir

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationInformation Science and Applications 2018 - ICISA 2018
EditorsKuinam J. Kim, Nakhoon Baek
PublisherSpringer Verlag
Pages543-557
ISBN (Electronic)9789811310560
ISBN (Print)9789811310553
Publication statusPublished - Jun 2018

Publication series

NameLecture Notes in Electrical Engineering
Volume514
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

TitleInternational Conference on Information Science and Applications (ICISA 2018)
PlaceChina
CityHong Kong
Period25 - 27 June 2018

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.

Research Area(s)

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

Citation Format(s)

A Comprehensive Investigation of BPMN Models Generation from Textual Requirements—Techniques, Tools and Trends. / Maqbool, Bilal; Azam, Farooque; Anwar, Muhammad Waseem; Butt, Wasi Haider; Zeb, Jahan; Zafar, Iqra; Nazir, Aiman Khan; Umair, Zuneera.

Information Science and Applications 2018 - ICISA 2018. ed. / Kuinam J. Kim; Nakhoon Baek. Springer Verlag, 2018. p. 543-557 (Lecture Notes in Electrical Engineering; Vol. 514).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review