Inventing Less, Reusing More, and Adding Intelligence to Business Process Modeling

Thom, Lucinéia Heloisa; Reichert, Manfred; Chiao, Carolina Ming; Iochpe, Cirano; Hess, Guillermo Nudelman

doi:10.1007/978-3-540-85654-2_75

Cited by 30 publications

(21 citation statements)

References 16 publications

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“…Tran et al formalize process patterns using UML concepts [24]. Most closely related to our work is the research by Thom et al [23]. In their work, the authors identify so-called activity patterns that specify eight different types of micro workflows like approval or decision.…”

Section: Related Workmentioning

confidence: 99%

Action Patterns in Business Process Models

Smirnov

Weidlich

Mendling

et al. 2009

Service-Oriented Computing – ICSOC 2007

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Bibliografische Information der Deutschen NationalbibliothekAbstract. Business process management experiences a large uptake by the industry, and process models play an important role in the analysis and improvement of processes. While an increasing number of staff becomes involved in actual modeling practice, it is crucial to assure model quality and homogeneity along with providing suitable aids for creating models.In this paper we consider the problem of offering recommendations to the user during the act of modeling. Our key contribution is a concept for defining and identifying action patterns -chunks of actions often appearing together in business processes. In particular, we specify action patterns and demonstrate how they can be identified from existing process model repositories using association rule mining techniques. Action patterns can then be used to suggest additional actions for a process model. Our approach is challenged by applying it to the collection of process models from the SAP Reference Model.

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Section: Related Workmentioning

confidence: 99%

Action Patterns in Business Process Models

Smirnov

Weidlich

Mendling

et al. 2009

Service-Oriented Computing – ICSOC 2007

View full text Add to dashboard Cite

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“…Challenges on which we are currently working include the following ones: dynamic changes of distributed processes and process choreographies Rinderle, Wombacher, & Reichert, 2006c), data-driven modeling, coordination and adaptation of large process structures (Rinderle & Reichert, 2006a;Müller, Reichert, & Herbst, 2007, process configuration (Hallerbach, Bauer, & Reichert, 2008;Thom, Reichert, Chiao, Iochpe, & Hess, 2008), process variants mining (Li et al, 2008b), process visualization and monitoring (Bobrik et al, 2006(Bobrik et al, , 2007, dynamic evolution of other PAIS aspects 2007;Ly, Rinderle, Dadam, & Reichert, 2005), and evaluation models for (adaptive) PAISs (Mutschler, Reichert, & Rinderle, 2007;Mutschler & Reichert, 2008c). All these activities target at full process lifecycle support in process-aware information systems (Weber, Reichert, Wild, & Rinderle-Ma, 2008c …”

Section: Discussionmentioning

confidence: 99%

Enabling Adaptive Process-Aware Information Systems with ADEPT2

Reichert

Dadam

2009

Handbook of Research on Business Process Modeling

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In dynamic environments it must be possible to quickly implement new busi ness processes, to enable ad-hoc deviations from the defined business processes on-demand (e.g., by dynamically adding, deleting or moving process activities), and to support dynamic pro cess evolution (i.e., to propagate process schema chan ges to already running process instances). These fundamental requirements must be met without affecting process consistency and robustness of the process-aware information system. In this chapter the authors describe how these challenges have been addressed in the ADEPT2 process management system. Their overall vision is to provide a next generation technology for the support of dynamic processes, which enables full process lifecycle management and which can be applied to a variety of application domains.

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“…To our best knowledge there exist no mining techniques to extract activity patterns from real-world process models; i.e., contemporary process mining tools like ProM (van der Aalst, 2007) analyze event logs (e.g., execution or change logs) related to process executions and do not extract information related to the semantics and the (internal) logic of process activities , (Günther, 2006), (Günther, 2008). Therefore, we perform a manual analysis in order to identify relevant activity patterns as well as their co-occurrences within the 214 process models.…”

Section: Applied Methodsmentioning

confidence: 99%

Activity patterns in process-aware information systems: basic concepts and empirical evidence

Thom

Reichert

Iochpe

2009

IJBPIM

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Abstract:Recently, a variety of workflow patterns was suggested for capturing different aspects in process-aware information systems (PAISs) including control and data flow, resources, process change, and exception handling. All these patterns are highly relevant for implementing PAISs and for designing process modeling languages. However, current patterns provide only a partial answer to the question which business functions a designer might want to reuse when modeling processes. This paper presents a revised version of a collection of activity patterns to deal with this challenge. Each of them is related to a recurrent business function as it can be frequently found in process models (e.g., task execution request, notification, approval). We describe the identified activity patterns and their variants in detail. The main purpose of our paper is to discuss results from empirical studies, in which we analyzed more than 200 process models in order to evidence the practical relevance of the patterns. This includes a detailed analysis of the context in which activity patterns occur as well the frequency of this occurrence. These empirical findings can be used for the design of more intelligent, pattern-based process modeling tools.Keywords: workflow activity patterns; business functions; business process management; business process modeling.Reference to this paper should be made as follows: Thom, L.H., Reichert, M., Iochpe, C.

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Inventing Less, Reusing More, and Adding Intelligence to Business Process Modeling

Cited by 30 publications

References 16 publications

Action Patterns in Business Process Models

Action Patterns in Business Process Models

Enabling Adaptive Process-Aware Information Systems with ADEPT2

Activity patterns in process-aware information systems: basic concepts and empirical evidence

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