Change Patterns and Change Support Features - Enhancing Flexibility in Process-Aware Information Systems

Barbara Weber, M.U. Reichert, S.B. Rinderle

Research output: Contribution to journalArticleAcademicpeer-review

386 Citations (Scopus)

Abstract

In order to provide effective support, the introduction of process-aware information systems (PAIS) must not freeze existing business processes. Instead PAIS should allow authorized users to flexibly deviate from the predefined processes if required and to evolve business processes in a controlled manner over time. Many software vendors promise flexible system solutions for realizing such adaptive PAIS, but are often unable to cope with fundamental issues related to process change (e.g., correctness and robustness). The existence of different process support paradigms and the lack of methods for comparing existing change approaches makes it difficult for PAIS engineers to choose the adequate technology. In this paper we suggest a set of changes patterns and change support features to foster systematic comparison of existing process management technology with respect to change support. Based on these change patterns and features, we provide an evaluation of selected systems.
Original languageUndefined
Article number10.1016/j.datak.2008.05.001
Pages (from-to)438-466
Number of pages15
JournalData & knowledge engineering
Volume66
Issue number3
DOIs
Publication statusPublished - Sep 2008
Event19th International Conference on Advanced Information Systems Engineering, CAiSE 2007 - Trondheim, Norway
Duration: 13 Jun 200715 Jun 2007
Conference number: 19

Keywords

  • METIS-251108
  • EWI-13132
  • SCS-Services
  • IR-62403

Cite this

Weber, Barbara ; Reichert, M.U. ; Rinderle, S.B. / Change Patterns and Change Support Features - Enhancing Flexibility in Process-Aware Information Systems. In: Data & knowledge engineering. 2008 ; Vol. 66, No. 3. pp. 438-466.
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Change Patterns and Change Support Features - Enhancing Flexibility in Process-Aware Information Systems. / Weber, Barbara; Reichert, M.U.; Rinderle, S.B.

In: Data & knowledge engineering, Vol. 66, No. 3, 10.1016/j.datak.2008.05.001, 09.2008, p. 438-466.

Research output: Contribution to journalArticleAcademicpeer-review

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