Goal - driven analysis of process model validity

Pnina Soffer, Yair Wand

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Business process modeling and design, which has attracted much attention in recent years, emphasizes mainly graphical representation, usually without an underlying theory. The lack of a theoretical foundation causes several important issues to remain intuition- rather than theory -based. In particular, many process - modeling methods, being semi-formal, lack a mechanism for verifying the "correctness" of a process in terms of completeness, consistency, and feasibility. The paper proposes a generic theory - based process modeling (GPM) framework and criteria for validity evaluation of process models. The framework, which is based on Bunge's ontology, is formal and notationindependent. Validity is defined as the possibility of the process to achieve its goal. The paper discusses and characterizes causes for process invalidity and suggests ways to avoid these situations. The concepts of the framework and their usefulness for evaluating the validity of process models are demonstrated by applying them to a process taken from the Supply-Chain Operations Reference-model (SCOR).

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsAnne Persson, Janis Stirna
PublisherSpringer Verlag
Pages521-535
Number of pages15
ISBN (Electronic)3540221514, 9783540221517
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3084
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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