Combined Variability Management of Business Processes and Software Architectures

Sinnhofer, Andreas Daniel; Höller, Andrea; Pühringer, Peter; Potzmader, Klaus; Orthacker, Clemens; Steger, Christian; Kreiner, Christian

doi:10.5220/0006527300360045

Cited by 3 publications

(2 citation statements)

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“…Process Variability Framework (c.f. [11,27,32]) is a framework used to manage variability of BPs by applying concepts of SPLE. As such, maintaining and evolving process variants of a family is done by automatically applying changes to the model.…”

Section: Managing Variability In Business Processesmentioning

confidence: 99%

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From Adaptive Business Processes to Orchestrated Microflows

Sinnhofer

Oberhauser

Steger

2020

Lecture Notes in Business Information Processing

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Nowadays, businesses with focus on consumer-products are challenged by short production cycles, high pricing pressure, and the need to deliver new features and services in a regular interval. Currently, businesses are tackling these challenges by automating their business processes, while yet trying to be flexible by introducing methods for process variability modeling. However, for larger processes and variability models, it becomes difficult to consider, maintain, and optimize all process variations in the various execution contexts. In software development, highly agile requirements are usually tackled with a flexible microservice architecture. Nonetheless, the fast-changing service landscape is often not fully reflected in the underlying business processes, leading to inefficiency and loss of profit. With this work, we extend our framework for process variability modeling with concepts of Microflows, allowing agile business process modeling and orchestration while utilizing the full flexibility of underlying microservices. In addition, we present a case study, showing how this approach is used in the context of an IoT application.

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Section: Managing Variability In Business Processesmentioning

confidence: 99%

“…1. Overall framework for combining process variability and product variability based on [32], extended with runtime service aspects using Microflows.…”

Section: Managing Variability In Business Processesmentioning

confidence: 99%