Re-evaluation of Decisions Based on Events

Pufahl, Luise; Mandal, Sankalita; Batoulis, Kimon; Weske, Mathias

doi:10.1007/978-3-319-59466-8_5

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…In Pufahl et al (2017), a combination of CEP and BPMN is proposed to support re-evaluation of decision points at runtime using event processing techniques. A reevaluation scope is formalized by using the BPMN semantics and can be interrupted by an event.…”

Section: Related Workmentioning

confidence: 99%

Data Impact Analysis in Business Processes

2019

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Business processes and their outcomes rely on data whose values are changed during process execution. When unexpected changes occur, e.g., due to last minute changes of circumstances, human errors, or corrections of detected errors in data values, this may have consequences for various parts of the process. This challenges the process participants to understand the full impact of the changes and decide on responses or corrective actions. To tackle this challenge, the paper suggests a semi-automated approach for data impact analysis. The approach entails a transformation of business process models to a relational database representation, to which querying is applied, in order to retrieve process elements that are related to a given data change. Specifically, the proposed method receives a data item (an attribute or an object) and information about the current state of process execution (in the form of a trace upon which an unexpected change has occurred). It analyzes the impact of the change in terms of activities, other data items, and gateways that are affected. When evaluating the usefulness of the approach through a case study, it was found that it has the potential to assist experienced process participants, especially when the consequences of the change are extensive, and its locus is in the middle of the process. The approach contributes both to practice with tool-supported guidance on how to handle unexpected data changes, and to research with a set of impact analysis primitives and queries.

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Section: Related Workmentioning

confidence: 99%

Data Impact Analysis in Business Processes

2019

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Understanding Decision Model and Notation: DMN Research Directions and Trends

Kluza

Adrian

Wiśniewski

et al. 2019

Knowledge Science, Engineering and Management

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Redesigning Processes for Decision-Awareness: Strategies for Integrated Modelling

Hasić

Smedt

Vanthienen

2018

2018 11th International Conference on the Quality of Information and Communications Technology (QUATIC)

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The integration of decisions into processes has seen a surging interest in literature since the introduction of the Decision Model and Notation (DMN) by the Object Management Group (OMG) in 2015. The DMN standard has successfully been adopted in both industry and academia, as it provides a suitable approach towards filling the void of decision representation in the field of Business Process Management (BPM). Although a number of approaches exist in literature on how to build DMN models, or on how to extract DMN models from process models, no clear modelling strategies have been presented to introduce decision-awareness into existing processes. This paper discusses strategies for integrated process and decision modelling, as well as their implications for process redesign in order to render processes decision-aware. The modelling strategies are inferred from literature, as existing approaches are categorised, and their advantages and disadvantages are elaborated upon.

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Re-evaluation of Decisions Based on Events

Cited by 3 publications

References 15 publications

Data Impact Analysis in Business Processes

Data Impact Analysis in Business Processes

Understanding Decision Model and Notation: DMN Research Directions and Trends

Redesigning Processes for Decision-Awareness: Strategies for Integrated Modelling

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