Schema Evolution in Object and Process-Aware Information Systems: Issues and Challenges

Chiao, Carolina Ming; Künzle, Vera; Reichert, Manfred

doi:10.1007/978-3-642-36285-9_37

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…In order to further increase the flexibility and adaptability of object-aware process support, we are developing advanced concepts and techniques enabling schema evolution in objectand process-aware software systems. Preliminary work discussing the challenges to be tackled in this context is presented in [6]. Other future work will deal with the mining and analysis of the execution logs of object-aware processes with the goal to discover data objects and the relations among them.…”

Section: Discussionmentioning

confidence: 99%

Integrated modeling of process- and data-centric software systems with PHILharmonicFlows

Chiao

Künzle

Reichert

2013

2013 IEEE 1st International Workshop on Communicating Business Process and Software Models Quality, Understandability, and Main

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Abstract-Process-and data-centric software systems require a tight integration of processes, functions, data, and users. Thereby, the behavioral perspective is described by process models, while the information perspective is captured in a data model. Eliciting and capturing requirements of such software systems in a consistent way is a challenging task, demanding that both process and data model are well aligned and consistent with each other. While traditional software modeling languages do not allow for an explicit integration of data and process models, activity-centric process modeling languages tend to neglect the role of data as a driver of process execution; i.e., business objects are usually outside the control of the process, normally stored in external databases. To overcome this drawback, PHILharmonicFlows provides a comprehensive framework for enabling objectaware process support. In addition, a sound specification of process-and object-centric software systems becomes possible. In this paper, we present a requirements modeling approach that provides methodological guidance for modeling large processand data-centric software systems based on PHILharmonicFlows. Such guidance will foster the introduction of respective software systems in the large scale.

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Section: Discussionmentioning

confidence: 99%

Integrated modeling of process- and data-centric software systems with PHILharmonicFlows

Chiao

Künzle

Reichert

2013

2013 IEEE 1st International Workshop on Communicating Business Process and Software Models Quality, Understandability, and Main

Self Cite

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“…Each selection, capable of being performed in real-time, is based upon a logical choice of alternatives extracted beforehand from the DABP business rules. As indicated in Table 1, DABPes are inherently context-aware [9]. They have a wide range of context knowledge and demonstrate both flexibility and adaptability.…”

Section: Decision-aware Business Processmentioning

confidence: 98%

Introducing decision-aware business processes

Yousfi

Dey

Saidi

et al. 2015

Computers in Industry

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“…Finally, the Object-aware Approach has theoretical work on schema evolution as well [13,14]. At the time the research for this paper was conducted, this feature had not yet been implemented in the tooling.…”

Section: Applying the Framework To The Object-aware Approachmentioning

confidence: 99%

DALEC: a framework for the systematic evaluation of data-centric approaches to process management software

et al. 2018

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The increasing importance of data in business processes has led to the emergence of data-centric business process management, which deviates from the widely used activity-centric paradigm. Data-centric approaches set their focus on data, aiming at supporting data-intensive business processes and increased process flexibility. The objective of this article is to gain profound insights into the maturity of different data-centric approaches as well as their capabilities. In particular, this article will provide a framework for systematically evaluating and comparing data-centric approaches, with regard to the phases of the business process lifecycle. To this end, a systematic literature review (SLR) was conducted with the goal of evaluating the capabilities of data-centric process management approaches. The SLR comprises 38 primary studies which were thoroughly analyzed. The studies were categorized into different approaches, whose capabilities were thoroughly assessed. Special focus was put on the tooling and software of the approaches. The article provides the empirically grounded DALEC framework to evaluate and compare data-centric approaches. Furthermore, the results of the SLR offer insights into existing data-centric approaches and their capabilities. Data-centric approaches promise better support of loosely structured and data-intensive business processes, which may not be adequately represented by activity-centric paradigms.

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Schema Evolution in Object and Process-Aware Information Systems: Issues and Challenges

Cited by 4 publications

References 19 publications

Integrated modeling of process- and data-centric software systems with PHILharmonicFlows

Integrated modeling of process- and data-centric software systems with PHILharmonicFlows

Introducing decision-aware business processes

DALEC: a framework for the systematic evaluation of data-centric approaches to process management software

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