Structural descriptions of process models based on goal-oriented unfolding

Chen Qian, Lijie Wen, Jianmin Wang, Akhil Kumar, Haoran Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Business processes are normally managed by designing, operating and analysing corresponding process models. While delivering these process models, an understanding gap arises depending on the degree of different users’ familiarity with modeling languages, which may slow down or even stop the normal functioning of processes. Therefore, a method for automatically generating texts from process models was proposed. However, the current method just involves ordinary model patterns so that the coverage of the generated text is too low and information loss exists. In this paper, we propose an improved transformation algorithm named Goun to tackle this problem of describing the process models automatically. The experimental results demonstrate that the Goun algorithm not only supports more elements and complex structures, but also remarkably improves the coverage of generated text.

Original languageEnglish (US)
Title of host publicationAdvanced Information Systems Engineering - 29th International Conference, CAiSE 2017
EditorsEric Dubois, Klaus Pohl
PublisherSpringer Verlag
Pages397-412
Number of pages16
ISBN (Print)9783319595351
DOIs
StatePublished - Jan 1 2017
EventForum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE-Forum-DC 2017 - Essen, Germany
Duration: Jun 12 2017Jun 16 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10253 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherForum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE-Forum-DC 2017
CountryGermany
CityEssen
Period6/12/176/16/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Qian, C., Wen, L., Wang, J., Kumar, A., & Li, H. (2017). Structural descriptions of process models based on goal-oriented unfolding. In E. Dubois, & K. Pohl (Eds.), Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017 (pp. 397-412). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10253 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-59536-8_25