Enabling Personalized Visualization of Large Business Processes through Parameterizable Views

Process-aware information systems (PAISs) need to support personalized views on business processes since different user groups have distinguished perspectives on these processes and related data. Existing PAISs, however, do not provide mechanisms for creating and visualizing such process views. Typically, processes are displayed to users in exactly the same way as originally modeled. This paper presents a flexible approach for creating personalized process views based on parameterizable operations. Respective view-building operations can be flexibly composed in order to hide process information or abstract from it in the desired way. Depending on the chosen parameterization of the operations applied, we obtain process views with more or less relaxed properties (e.g., regarding the degree of information loss or soundness). Altogether, the realized view concept enables a more flexible visualization of large business processes satisfying the needs of different user groups

Updatable Process Views for User-centered Adaption of Large Process Models

The increasing adoption of process-aware information systems (PAISs) has resulted in large process model collections. To support users having different perspectives on these processes and related data, a PAIS should provide personalized views on process models. Existing PAISs, however, do not provide mechanisms for creating or even changing such process views. Especially, changing process models is a frequent use case in PAISs due to changing needs or unplanned situations. While process views have been used as abstractions for visualizing large process models, no work exists on how to change process models based on respective views. This paper presents an approach for changing large process models through updates of corresponding process views, while ensuring up-to-dateness and consistency of all other process views on the process model changed. Respective update operations can be applied to a process view and corresponding changes be correctly propagated to the underlying process model. Furthermore, all other views related to this process model are then migrated to the new version of the process model as well. Overall, our view framework enables domain experts to evolve large process models over time based on appropriate model abstractions

Supporting Business and IT through Updatable Process Views: The proView Demonstrator

The increasing adoption of process-aware information systems (PAISs) has resulted in large process model collections. To support business and IT users having different perspectives on processes, a PAIS should provide personalized views on process models. Especially, changing process models is frequent use case due to evolving processes or unplanned situations. This demonstration presents the proView framework for changing large process models through updating process views, while ensuring up-to-dateness and consistency of all related process views. More precisely, update operations can be applied to a process view and are correctly propagated to the underlying process model. Further, all views related to this process model are then correctly migrated to its new version. Overall, the proView framework enables users to evolve process models over time based on appropriate model abstractions

Data Flow Abstractions and Adaptations through Updatable Process Views

The increasing adoption of process-aware information systems (PAISs) has resulted in large process model collections. To support users having different perspectives on these processes and related data, a PAIS should enable personalized views on process models. Existing PAISs, however, do not provide mechanisms for creating such process views or even changing them. Especially, changing process models is a frequent use case in PAISs due to evolving needs or unplanned situations. While process views have been used as abstractions for visualizing process models, no work exists on how to change process models based on related views. This paper extends our approach for abstracting and changing process models based on updatable process views with a focus on the data perspective. In the context, of a view change we ensure up-to-dateness and consistency of all process views related to the same process model. To define process abstractions well-defined view creation operations can be applied. Further, updates on process views (including the data perspective) are correctly propagated to the underlying process model. Then, all other views related to this process model are migrated to the new version of the process model. Overall, our view framework enables domain experts to not only evolve the behavior of large processes based on appropriate model abstractions, but also the data perspective

A Framework for the Intelligent Delivery and User-Adequate Visualization of Process Information

A continuously increasing amount of data makes it difficult for knowledge-workers to identify the information they need to perform their tasks in the best possible way. Particularly challenging in this context is the alignment of process-related information (e.g., working instructions, best practices) with business processes. In fact, process-related information (process information for short) and business processes are usually handled separately. On one hand, shared drives, databases, and information systems are used to manage process information, on the other, process management technology provides the basis for managing business processes. In practice, enterprises often establish (Intranet) portals to connect both perspectives. However, such portals are not sufficient. Reasons are that process information is usually delivered without considering the current work context and business processes are presented to process participants in a rather static manner. Therefore, enterprises crave for new ways of making process information available. This paper picks up this challenge and presents the niPRO framework. niPRO is based on semantic technology and enables the intelligent delivery and user-adequate visualization of comprehensive process information

Automatically Generating and Updating User Interface Components in Process-Aware Information Systems

The increasing adoption of process-aware information systems (PAISs) has resulted in a large number of implemented business processes. To react on changing needs, companies need to be able to quickly adapt these process implementations. Current PAISs only provide mechanisms to evolve the schema of a process, but do not support the automated creation and adaptation of user interfaces (UIs). The latter may have a complex logic and comprise conditional elements or database queries. Creating and evolving UIs manually is a tedious and error-prone task. This paper introduces a set of patterns for transforming fragments of a business process, whose activities are performed by the same user role, to UIs of the PAIS. In particular, UI logic can be expressed using the same notation as for process modeling. Furthermore, a transformation method is introduced, which applies these patterns to automatically derive UIs by establishing a bidirectional mapping between process model and UI. This mapping allows propagating UI changes to the process model and vice versa. Overall, our approach enables process designers to rapidly develop and update complex UIs in PAISs