Incorporating data inaccuracy considerations in process models

Yotam Evron; Pnina Soffer; Anna Zamansky

doi:10.1007/978-3-319-59466-8_19

Incorporating data inaccuracy considerations in process models

Yotam Evron, Pnina Soffer, Anna Zamansky

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Business processes are designed with the assumption that the data used by the process is an accurate reflection of reality. However, this assumption does not always hold, and situations of data inaccuracy might occur which bear substantial consequences to the process and to business goals. Until now, data inaccuracy has mainly been addressed in the area of business process management as a possible exception at runtime, to be resolved through exception handling mechanisms. Design-time analysis of potential data inaccuracy has been mostly overlooked so far. In this paper we propose a conceptual framework for incorporating data inaccuracy considerations in process models to support an analysis of data inaccuracy at design time and empirically evaluate its usability by process designers.

Original language	English
Title of host publication	Enterprise, Business-Process and Information Systems Modeling - 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017 Held at CAiSE 2017, Proceedings
Editors	Jens Gulden, Selmin Nurcan, Iris Reinhartz-Berger, Palash Bera, Wided Guedria
Publisher	Springer Verlag
Pages	305-318
Number of pages	14
ISBN (Print)	9783319594651
DOIs	https://doi.org/10.1007/978-3-319-59466-8_19
State	Published - 2017
Event	18th International Conference on Business Process Modeling, Development and Support, BPMDS 2017 and 22nd International Conference on Evaluation and Modeling Methods for Systems Analysis and Development, EMMSAD 2017 held at Conference on Advanced Information Systems Engineering, CAiSE 2017 - Essen, Germany Duration: 12 Jun 2017 → 13 Jun 2017

Publication series

Name	Lecture Notes in Business Information Processing
Volume	287
ISSN (Print)	1865-1348

Conference

Conference	18th International Conference on Business Process Modeling, Development and Support, BPMDS 2017 and 22nd International Conference on Evaluation and Modeling Methods for Systems Analysis and Development, EMMSAD 2017 held at Conference on Advanced Information Systems Engineering, CAiSE 2017
Country/Territory	Germany
City	Essen
Period	12/06/17 → 13/06/17

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Keywords

Business process management
Business process modeling
Data inaccuracy

ASJC Scopus subject areas

Control and Systems Engineering
Management Information Systems
Business and International Management
Information Systems
Modeling and Simulation
Information Systems and Management

Access to Document

10.1007/978-3-319-59466-8_19

Cite this

Evron, Y., Soffer, P., & Zamansky, A. (2017). Incorporating data inaccuracy considerations in process models. In J. Gulden, S. Nurcan, I. Reinhartz-Berger, P. Bera, & W. Guedria (Eds.), Enterprise, Business-Process and Information Systems Modeling - 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017 Held at CAiSE 2017, Proceedings (pp. 305-318). (Lecture Notes in Business Information Processing; Vol. 287). Springer Verlag. https://doi.org/10.1007/978-3-319-59466-8_19

Evron, Yotam ; Soffer, Pnina ; Zamansky, Anna. / Incorporating data inaccuracy considerations in process models. Enterprise, Business-Process and Information Systems Modeling - 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017 Held at CAiSE 2017, Proceedings. editor / Jens Gulden ; Selmin Nurcan ; Iris Reinhartz-Berger ; Palash Bera ; Wided Guedria. Springer Verlag, 2017. pp. 305-318 (Lecture Notes in Business Information Processing).

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Evron, Y , Soffer, P & Zamansky, A 2017, Incorporating data inaccuracy considerations in process models. in J Gulden, S Nurcan, I Reinhartz-Berger, P Bera & W Guedria (eds), Enterprise, Business-Process and Information Systems Modeling - 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017 Held at CAiSE 2017, Proceedings. Lecture Notes in Business Information Processing, vol. 287, Springer Verlag, pp. 305-318, 18th International Conference on Business Process Modeling, Development and Support, BPMDS 2017 and 22nd International Conference on Evaluation and Modeling Methods for Systems Analysis and Development, EMMSAD 2017 held at Conference on Advanced Information Systems Engineering, CAiSE 2017, Essen, Germany, 12/06/17. https://doi.org/10.1007/978-3-319-59466-8_19

Incorporating data inaccuracy considerations in process models. / Evron, Yotam ; Soffer, Pnina ; Zamansky, Anna.
Enterprise, Business-Process and Information Systems Modeling - 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017 Held at CAiSE 2017, Proceedings. ed. / Jens Gulden; Selmin Nurcan; Iris Reinhartz-Berger; Palash Bera; Wided Guedria. Springer Verlag, 2017. p. 305-318 (Lecture Notes in Business Information Processing; Vol. 287).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Evron Y , Soffer P , Zamansky A. Incorporating data inaccuracy considerations in process models. In Gulden J, Nurcan S, Reinhartz-Berger I, Bera P, Guedria W, editors, Enterprise, Business-Process and Information Systems Modeling - 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017 Held at CAiSE 2017, Proceedings. Springer Verlag. 2017. p. 305-318. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-319-59466-8_19

Incorporating data inaccuracy considerations in process models

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this