Dealing with variability in Process-Aware Information Systems: language requirements, features, and existing proposals
FacultiesFakultät für Ingenieurwissenschaften und Informatik
The increasing adoption of Process-Aware Information Systems (PAISs), together with the variability of Business Processes (BPs) across different application contexts, has resulted in large process model repositories with collections of related process model variants. To reduce both costs and occurrence of errors, the explicit management of variability throughout the BP lifecycle becomes crucial. In literature, several proposals dealing with BP variability have been proposed. However, the lack of a method for their systematic comparison makes it difficult to select the most appropriate one meeting current needs best. To close this gap, this work presents an evaluation framework that allows analyzing and comparing the variability support provided by existing proposals developed in the context of BP variability. The framework encompasses a set of language requirements as well as a set of variability support features. While language requirements allow assessing the expressiveness required to explicitly represent variability of different process perspectives, variability support features reflect the tool support required to properly cover such expressiveness. Our evaluation framework has been derived based on an in-depth analysis of several large real-world process scenarios, an extensive literature review, and an analysis of existing PAISs. In this vein, the framework helps to understand BP variability along the BP lifecycle. In addition, it supports PAISs engineers in deciding, which of the existing BP variability proposals meets best their needs.
Subject HeadingsInformationssystem [GND]
Process engineering [LCSH]
Keywords(Configurable) Process-Aware Informations Systems; Business process variability; Process model configuration; Process model families
Dewey Decimal GroupDDC 004 / Data processing & computer science
MetadataShow full item record
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