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Leveraging CMMN for ACM: examining the applicability of a new OMG standard for adaptive case management

Published: 23 April 2015 Publication History

Abstract

Adaptive case management (ACM) is an increasingly popular approach for supporting knowledge-intensive business processes. Being a new approach, it still lacks a similar degree of standardization as the more established business process management (BPM) approaches. This paper introduces the new Case Management and Model and Notation (CMMN) standard. Based on a set of ACM requirements, the applicability of CMMN for modeling ACM cases is examined thoroughly and extensions improving the ACM support of CMMN are proposed.

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  • (2023)A Sociomaterial Design Process Modelling Technique for Knowledge Management SystemsSN Computer Science10.1007/s42979-023-01753-w4:3Online publication date: 8-Apr-2023
  • (2023)Anforderungen an die IT-Unterstützung von personenbezogenen Dienstleistungen im digitalen ZeitalterArchitektur der digitalen Transformation10.1007/978-3-031-22243-6_7(129-151)Online publication date: 20-May-2023
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Published In

cover image ACM Other conferences
S-BPM ONE '15: Proceedings of the 7th International Conference on Subject-Oriented Business Process Management
April 2015
182 pages
ISBN:9781450333122
DOI:10.1145/2723839
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • IANES: Interactive Acquisition, Negotiation and Enactment of Subject-Oriented Business Process Knowledge
  • StrICT Solutions: StrICT Solutions GmbH
  • I2PM: Institute of Innovative Process Management
  • Christian-Albrechts-Universität zu Kiel: Christian-Albrechts-Universität zu Kiel
  • Metasonic: Metasonic GmbH
  • ConsSys IT AG: ConsSys IT AG
  • Wirtschaftsakademie Schleswig-Holstein: Wirtschaftsakademie Schleswig-Holstein GmbH

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 April 2015

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Author Tags

  1. CMMN
  2. OMG
  3. adaptive case management
  4. knowledge work
  5. limitations

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  • Research-article

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S-BPM ONE '15
Sponsor:
  • IANES
  • StrICT Solutions
  • I2PM
  • Christian-Albrechts-Universität zu Kiel
  • Metasonic
  • ConsSys IT AG
  • Wirtschaftsakademie Schleswig-Holstein

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Overall Acceptance Rate 28 of 54 submissions, 52%

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Cited By

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  • (2024)Extending CMMN for Effective Management of Data in Knowledge-Intensive ProcessesBusiness Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum10.1007/978-3-031-70445-1_18(282-296)Online publication date: 1-Sep-2024
  • (2023)A Sociomaterial Design Process Modelling Technique for Knowledge Management SystemsSN Computer Science10.1007/s42979-023-01753-w4:3Online publication date: 8-Apr-2023
  • (2023)Anforderungen an die IT-Unterstützung von personenbezogenen Dienstleistungen im digitalen ZeitalterArchitektur der digitalen Transformation10.1007/978-3-031-22243-6_7(129-151)Online publication date: 20-May-2023
  • (2022)Domain engineering for customer experience managementInnovations in Systems and Software Engineering10.1007/s11334-021-00426-218:1(171-191)Online publication date: 20-Jan-2022
  • (2022)Towards AI-Enabled Assistant Design Through Grassroots Modeling: Insights from a Practical Use Case in the Industrial SectorPerspectives in Business Informatics Research10.1007/978-3-031-16947-2_7(96-110)Online publication date: 16-Sep-2022
  • (2022) Exploring CMMN applicability to knowledge‐intensive process modeling: An empirical evaluation by modelers Knowledge and Process Management10.1002/kpm.173830:1(33-54)Online publication date: 22-Nov-2022
  • (2021)Evaluating CMMN execution capabilities: An empirical assessment based on a Smart Farming case study2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)10.1109/ICTMOD52902.2021.9739482(1-6)Online publication date: 24-Nov-2021
  • (2021)CMMN evaluation: the modelers’ perceptions of the main notation elementsSoftware and Systems Modeling10.1007/s10270-021-00880-3Online publication date: 14-May-2021
  • (2021)DisCoveR: accurate and efficient discovery of declarative process modelsInternational Journal on Software Tools for Technology Transfer10.1007/s10009-021-00616-024:4(563-587)Online publication date: 28-Jun-2021
  • (2020)Declarative and Hybrid Process Discovery: Recent Advances and Open ChallengesJournal on Data Semantics10.1007/s13740-020-00112-9Online publication date: 19-Mar-2020
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