A Model-Driven Approach for Event-Based Business Process Monitoring

Koetter, Falko; Kochanowski, Monika

doi:10.1007/978-3-642-36285-9_41

Cited by 16 publications

(4 citation statements)

References 17 publications

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“…Data collected during the execution of business processes are used for identifying the key performance indicators that enable the continuous monitoring and tracking of the process behavior and guarantee its correct execution. A number of approaches exist in the literature that focuses on how key performance indicators are modeled and transferred into events by a model‐driven approach . The work of Ly et al developed a framework comparing approaches for monitoring business process compliance based on a well‐defined set of monitoring functionalities.…”

Section: Related Workmentioning

confidence: 99%

Security policy monitoring of BPMN‐based service compositions

Asim

Yautsiukhin

Brucker

et al. 2018

J Software Evolu Process

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Service composition is a key concept of Service‐Oriented Architecture that allows for combining loosely coupled services that are offered and operated by different service providers. Such environments are expected to dynamically respond to changes that may occur at runtime, including changes in the environment and individual services themselves. Therefore, it is crucial to monitor these loosely coupled services throughout their lifetime. In this paper, we present a novel framework for monitoring services at runtime and ensuring that services behave as they have promised. In particular, we focus on monitoring non‐functional properties that are specified within an agreed security contract. The novelty of our work is based on the way in which monitoring information can be combined from multiple dynamic services to automate the monitoring of business processes and proactively report compliance violations. The framework enables monitoring of both atomic and composite services and provides a user friendly interface for specifying the monitoring policy. We provide an information service case study using a real composite service to demonstrate how we achieve compliance monitoring. The transformation of security policy into monitoring rules, which is done automatically, makes our framework more flexible and accurate than existing techniques.

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Section: Related Workmentioning

confidence: 99%

Security policy monitoring of BPMN‐based service compositions

Asim

Yautsiukhin

Brucker

et al. 2018

J Software Evolu Process

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“…The basic necessity of profound methods for the technical specification of complex events in the BPMJ 20,4 context of business processes has motivated extensive research activities. In most cases these contributions propose an extension of the Business Process Modeling Notation (BPMN) for modeling goals, high-level events or even whole business situations (Charles and Hollunder, 2011;Decker et al, 2007;Estruch and Heredia Á lvaro, 2012;Koetter and Kochanowski, 2013;Kunz et al, 2010;Rajsiri et al, 2011;Schiefer and Seufert, 2010). One recently presented concept copes with the integration of dedicated event stream processing units within the BPMN representation of the overall business process (Appel et al, 2013).…”

Section: Synthesizing and Analyzing The Current State Of Researchmentioning

confidence: 99%

“…Other concepts look for a possible integration of business events (Costello and Molloy, 2008;Döhring et al, 2010;Giorgio, 2012) or even whole BAM artifacts (Friedenstab et al, 2012) with, e.g. process and/or information models (Baouab et al, 2012;Koetter and Kochanowski, 2013;Mulo et al, 2012;Weidlich et al, 2011). A few contributions allow for an automatic derivation of CEP rules from such graphical models.…”

Section: Synthesizing and Analyzing The Current State Of Researchmentioning

confidence: 99%

Event-Driven Business Process Management: where are we now?

Krumeich

Weis

Werth

et al. 2014

Business Process Mgmt Journal

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Purpose – The business operations of today's enterprises are heavily influenced by numerous of internal and external business events. With the Event Driven Architecture and particularly the Complex Event Processing (CEP), the technology required for identifying complex correlations in these large amounts of event data right after its appearance has already emerged. The resulting gain in operational transparency builds the foundation for (near) real-time reactions. This motivated extensive research activities especially in the field of Business Process Management (BPM), which essentially coined the term Event-Driven BPM (EDBPM). Now, several years after the advent of this new concept, the purpose of this paper is to shed light to the question: where are we now on our way towards a sophisticated adoption of the CEP technology within BPM? Design/methodology/approach – The research methodology of this paper is a structured literature analysis. It basically follows the procedure proposed by vom Brocke et al. (2009). This verified five-step process – entitled “Reconstructing the giant” – allowed a rigorous study. As a result, various research clusters were derived, whose state-of-the-art exposed existing research gaps within EDBPM. Findings – First of all, the paper provides a concise conceptual basis on different application possibilities of EDBPM. Afterwards, it synthesizes current research into six clusters and highlights most significant work within them. Finally, a research agenda is proposed to tackle existing research gaps to pave the way towards fully realizing the potentials of the paradigm. Originality/value – So far, a comparable study of the current state-of-the-art within EDBPM is non-existent. The findings of this paper, e.g. the proposed research agenda, help scholars to focus their research efforts on specific aspects that need to be considered in order to advance the adoption of the CEP technology within BPM.

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“…Organizations are focusing more on business process improvement to increase concerns and success factors within business [2]. Event driven business process management has become one of emerging trends as it can be applied on businesses processes for compliance monitoring to analyze past business flaws and identify future risks [3]. Thus, process management has become a great importance to organizations and also a need of time in any business environment [4].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Level Process Mining Framework for Correlating and Clustering of Biomedical Activities using Event Logs

Naeem¹,

Naeem²,

Aamir³

et al. 2017

ijacsa

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Abstract-Cost, time and resources are major factors affecting the quality of hospitals business processes. Bio-medical processes are twisted, unstructured and based on time series making it difficult to do proper process modeling for them. On other hand, Process mining can be used to provide an accurate view of biomedical processes and their execution. Extracting process models from biomedical code sequenced data logs is a big challenge for process mining as it doesn't provide business entities for workflow modeling. This paper explores application of process mining in biomedical domain through real-time case study of hepatitis patients. To generate event logs from big datasets, preprocessing techniques and LOG Generator tool is designed. To reduce complexity of generated process model, a multilevel process mining framework including text similarity clustering algorithm based on Levenshtein Distance is proposed for event logs to eliminate spaghetti processes. Social network models and four distinct types of sub workflow models are evaluated using specific process mining algorithms.

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A Model-Driven Approach for Event-Based Business Process Monitoring

Cited by 16 publications

References 17 publications

Security policy monitoring of BPMN‐based service compositions

Security policy monitoring of BPMN‐based service compositions

Event-Driven Business Process Management: where are we now?

A Multi-Level Process Mining Framework for Correlating and Clustering of Biomedical Activities using Event Logs

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