A Graph-based approach for process robustness in unreliable communication environments
Autor(en): | Nordemann, F. Tönjes, R. Pulvermüller, E. Tapken, H. |
Herausgeber: | Ali, R. Kaindl, H. Maciaszek, L. |
Stichwörter: | BPMN; Business Process; Communication environments; Communication technologies; DAG; Graph algorithms; Graphic methods; Maximum-flow algorithm; Path configuration; Process Robustness; RBPMN; Regression analysis; Reliable communication; Robustness metrics; Shortest path algorithms, Graph theory; Software engineering, Business process model and notation (BPMN); Unreliable Communication Environments | Erscheinungsdatum: | 2020 | Herausgeber: | SciTePress | Journal: | ENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering | Startseite: | 97 | Seitenende: | 107 | Zusammenfassung: | The Business Process Model and Notation (BPMN) is broadly used to model and execute process definitions. Many processes include different participants and require reliable communication to operate properly. However, BPMN is used in a growing number of use cases taking place in unreliable communication environments. Intermittent or broken connectivity potentially interrupts or breaks down process operation. Methods for the verification of process robustness are missing. This paper presents a graph-based approach to automatically identify robust process path configurations. Using process-to-graph transition rules and robustness metrics, graph-based search algorithms allow to find robust process paths and to rate their level of robustness. Process examples show that well-known shortest-path algorithms not necessarily identify the most appropriate path. Comparing all paths using metrics for the path robustness level and robustness probability is a promising choice for most scenarios. Inspired by maximum-flow algorithms, a combined-path analysis may optimize robustness by combining process paths based on different communication technologies. © Copyright 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. |
Beschreibung: | Conference of 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020 ; Conference Date: 5 May 2020 Through 6 May 2020; Conference Code:160383 |
ISBN: | 9789897584213 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088364514&partnerID=40&md5=459cffdd43f6e8f920a3915ca8e33ba5 |
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geprüft am 30.04.2024