Towards a Framework for Object-aware Process Management

In comprehensive case studies we found out that many limitations of existing Process Management Systems (PrMS) can be traced back to the unsatisfactory integration of processes and data. In this PhD project, we aim at a deep and extensive understanding of the inherent relationships between processes and data, and thus want to overcome some of the fundamental limitations known from activity-centered PrMS. Overall, we target at a comprehensive framework providing integrated access to processes, data, and functions to its users

A Modeling Paradigm for Integrating Processes and Data at the Micro Level

Despite the widespread adoption of BPM, there exist many business processes not adequately supported by existing BPM technology. In previous work we reported on the properties of these processes. As a major insight we learned that, in accordance to the data model comprising object types and object relations, the modeling and execution of processes can be based on two levels of granularity: object behavior and object interactions. This paper focuses on micro processes capturing object behavior and constituting a fundamental pillar of our framework for object-aware process management. Our approach applies the well established concept of modeling object behavior in terms of states and state transitions. Opposed to existing work, we establish a mapping between attribute values and objects states to ensure compliance between them. Finally, we provide a well-dened operational semantics enabling the automatic and dynamic generation of most end-user components at run-time (e.g., overview tables and user forms)

Integrating Users in Object-aware Process Management Systems: Issues and Challenges

Despite the increasing maturity of contemporary Workflow Management Systems (WfMS), there still exist numerous process-aware application systems with more or less hard-coded process logic. This does not only cause high maintenance efforts (e.g. costly code adaptions), but also results in hard-coded rules for controlling the access to business processes, business functions, and business data. In particular, the assignment of users to process activities needs to be compliant with the rights granted for executing business functions and for accessing business data. A major reason for not using WfMS in a broader context is the inflexibility provided by their activity-centered paradigm, which also limits the access control strategies offered by them. This position paper discusses key challenges for a process management technology in which processes, data objects and users are well integrated in order to ensure a sufficient degree of flexibility. We denote such technology as Object-Aware Process Management System and consider related research as fundamental for the further maturation of process management technology

Towards Object-aware Process Management Systems: Issues, Challenges, Benefits

Contemporary workflow management systems (WfMS) offer promising perspectives in respect to comprehensive lifecycle support of business processes. However, there still exist numerous business applications with hard-coded process logic. Respective application software is both complex to design and costly to maintain. One major reason for the absence of workflow technology in these applications is the fact that many processes are data-driven; i.e., progress of process instances depends on value changes of data objects. Thus business processes and business data cannot be treated independently from each other, and business process models have to be compliant with the underlying data structure. This paper presents characteristic properties of data-oriented business software, which we gathered in several case studies, and it elaborates to what degree existing WfMS are able to provide the needed object-awareness. We show that the activity-centered paradigm of existing WfMS is too inflexible in this context, and we discuss major requirements needed to enable object-awareness in processes management systems

PHILharmonicFlows: Research and Design Methodology

In comprehensive case studies we found out that many limitations of existing Process Management Systems (PrMS) can be traced back to the unsatisfactory integration of processes and data. In the PHILharmonicFlows project, we aim at a deep and extensive understanding of the inherent relationships between processes and data, and thus want to overcome some of the fundamental limitations known from activity-centered PrMS. Overall, we target at a comprehensive framework providing integrated access to processes, data, and functions to its users

Striving for Object-aware Process Support: How Existing Approaches Fit Together

Many limitations of contemporary process management systems (PrMS) can be traced back to the missing integration of processes and data. A unified understanding of the inherent relationships existing between processes and data, however, is still missing. In the PHILharmonicFlows project we figured out that process support often requires object-awareness. This means, data must be manageable in terms of object types comprising object attributes and relations to other object types. In this paper, we systematically introduce the fundamental characteristics of object-aware processes. Further, we elaborate existing approaches recognizing the need for a tighter integration of processes and data along these characteristics. This way, we show the high relevance of the identified characteristics and confirm that their support is needed in many application domains

PHILharmonicFlows: towards a framework for object-aware process management

Companies increasingly adopt process management systems (PrMS) that offer promising perspectives for more flexible and efficient process execution. However, there still exist many processes in practice which are not adequately supported by contemporary PrMS. We believe that a major reason for this deficiency stems from the unsatisfactory integration of processes and data in existing PrMS. Despite emerging approaches that address this integration, a unified and comprehensive understanding of object-awareness in connection with process management is still missing. To remedy this deficiency, we extensively analyzed various processes from different domains which are not adequately supported by existing PrMS. As a major insight we learned that in many cases comprehensive process support requires object-awareness. In particular, process support has to consider object behavior as well as object interactions, and should therefore be based on two levels of granularity. Besides this, object-awareness requires data-driven process execution and integrated access to processes and data. This paper presents the basic properties of objectaware processes as well as fundamental requirements for their operational support. It further introduces our PHILharmonicFlows framework which addresses these requirements and enables object-aware process management in a comprehensive manner. Finally, we evaluate this framework along several process scenarios. We believe that a holistic approach integrating data, processes and users offers promising perspectives in order to overcome the numerous limitations of contemporary PrMS

Object-aware Business Processes: Properties, Requirements, Existing Approaches

Despite the increasing maturity of process management technology not all business processes are adequately supported by it. In particular, support for unstructured and knowledge-intensive processes is missing, especially since they cannot be straight-jacketed into predefined activities. A common characteristic of these processes is the role of busi-ness objects and data as drivers for process modeling and enactment. This paper elicits fundamental requirements for effectively supporting such object-aware processes; i.e., their modeling, execution and monitoring. Based on these requirements, we evaluate imperative, declarative, and data-driven process support approaches and investigate how well they support object-aware processes. We consider a tight integration of process and data as major step towards further maturation of process management technology

Object-aware Business Processes: Fundamental Requirements and their Support in Existing Approaches

Despite the increasing maturity of process management technology not all business processes are adequately supported by it. In particular, support for unstructured and knowledge-intensive processes is missing, especially since they cannot be straight-jacketed into predefined activities. A common characteristic of these processes is the role of business objects and data as drivers for process modeling and enactment. This paper elicits fundamental requirements for effectively supporting such object-aware processes; i.e., their modeling, execution and monitoring. Based on these requirements, we evaluate imperative, declarative, and data-driven process support approaches and investigate how well they support object-aware processes. We consider a tight integration of process and data as major step towards further maturation of process management technology

Object-aware Process Support in Healthcare Information Systems: Requirements, Conceptual Framework and Examples

The business processes to be supported by healthcare information systems are highly complex, producing and consuming a large amount of data. Besides, the execution of these processes requires a high degree of flexibility. Despite their widespread adoption in industry, however, traditional process management systems (PrMS) have not been broadly used in healthcare environments so far. One major reason for this drawback is the missing integration of business processes and business data in existing PrMS; i.e., business objects (e.g., medical orders, medical reports) are usually maintained in specific application systems, and are hence outside the control of the PrMS. As a consequence, most existing PrMS are unable to provide integrated access to business processes and business objects in case of unexpected events, which is crucial in the healthcare domain. In this context, the PHILharmonicFlows framework offers an innovative object-aware process management approach, which tightly integrates business objects, functions, and processes. In this paper, we apply this framework to model and control the processes in the context of a breast cancer diagnosis scenario. First, we present the modeling components of PHILharmonicFlows framework applied to this scenario. Second, we give insights into the operational semantics that governs the process execution in PHILharmonicFlows. Third, we discuss the lessons learned in this case study as well as requirements from the healthcare domain that can be effectively handled when using an object-aware process management system like PHILharmonicFlows. Overall, object-aware process support will allow for a new generation of healthcare information systems treating both data and processes as first class citizens