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David Knuplesch - One of the best experts on this subject based on the ideXlab platform.
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Enabling Multi-Perspective Business Process Compliance
2019Co-Authors: David KnupleschAbstract:A particular challenge for any enterprise is to ensure that its business processes conform with Compliance Rules, i.e., semantic constraints on the multiple perspectives of the business processes. Compliance Rules stem, for example, from legal regulations, corporate best practices, domain-specific guidelines, and industrial standards. In general, Compliance Rules are multi-perspective, i.e., they not only restrict the process behavior (i.e. control flow), but may refer to other process perspectives (e.g. time, data, and resources) and the interactions (i.e. message exchanges) of a business process with other processes as well. The aim of this thesis is to improve the specification and verification of multi-perspective process Compliance based on three contributions: 1. The extended Compliance Rule Graph (eCRG) language, which enables the visual modeling of multi-perspective Compliance Rules. Besides control flow, the latter may refer to the time, data, resource, and interaction perspectives of a business process. 2. A framework for multi-perspective monitoring of the Compliance of running processes with a given set of eCRG Compliance Rules. 3. Techniques for verifying business process Compliance with respect to the interaction perspective. In particular, we consider Compliance verification for cross-organizational business processes, for which solely incomplete process knowledge is available. All contributions were thoroughly evaluated through proof-of-concept prototypes, case studies, empirical studies, and systematic comparisons with related works.
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A visual language for modeling multiple perspectives of business process Compliance Rules
Software & Systems Modeling, 2017Co-Authors: David Knuplesch, Manfred ReichertAbstract:A fundamental challenge for enterprises is to ensure Compliance of their business processes with imposed Compliance Rules stemming from various sources, e.g., corporate guidelines, best practices, standards, and laws. In general, a Compliance Rule may refer to multiple process perspectives including control flow, time, data, resources, and interactions with business partners. On one hand, Compliance Rules should be comprehensible for domain experts who must define, verify, and apply them. On the other, these Rules should have a precise semantics to avoid ambiguities and enable their automated processing. Providing a visual language is advantageous in this context as it allows hiding formal details and offering an intuitive way of modeling the Compliance Rules. However, existing visual languages for Compliance Rule modeling have focused on the control flow perspective so far, but lack proper support for the other process perspectives. To remedy this drawback, this paper introduces the extended Compliance Rule Graph language, which enables the visual modeling of Compliance Rules with the support of multiple perspectives. Overall, this language will foster the modeling and verification of Compliance Rules in practice.
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A Framework for Visually Monitoring Business ProcessCompliance (Extended Abstract)
2017Co-Authors: David Knuplesch, Manfred Reichert, Akhil KumarAbstract:Any enterprise must ensure that its business processes comply with imposed Compliance Rules. This extended abstract presents a comprehensive framework for visually monitoring business process Compliance. As opposed to existing approaches, the framework supports the visual monitoring of all relevant process perspectives based on the extended Compliance Rule Graph (eCRG) language. Furthermore, it not only allows for the detection of violations, but additionally highlights their causes. Finally, the framework assists users in both monitoring business process Compliance and ensuring the compliant continuation of running business processes. Overall, the framework provides a fundamental contribution towards the real-time monitoring of Compliance in process-driven enterprises.
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a framework for visually monitoring business process Compliance
Information Systems, 2017Co-Authors: David Knuplesch, Manfred Reichert, Akhil KumarAbstract:Any enterprise must ensure that its business processes comply with imposed Compliance Rules. The latter stem, for example, from corporate guidelines, legal regulations, and best practices. In general, a Compliance Rule may constrain multiple perspectives of a business process, including behavior (i.e. control flow), data, time, resources, and interactions with business partners. As a particular challenge, Compliance cannot be completely ensured at design time, but needs to be continuously monitored during process enactment as well, i.e., it has to be dynamically checked whether Compliance Rules are satisfied or temporarily/permanently violated. This paper presents a comprehensive framework for visually monitoring business process Compliance. As opposed to existing approaches, the framework supports the visual monitoring of all relevant process perspectives based on the extended Compliance Rule Graph (eCRG) language. Furthermore, it not only allows for the detection of violations, but additionally highlights their causes. Finally, the framework assists users in both monitoring business process Compliance and ensuring the compliant continuation of running business processes. Overall, the framework provides a fundamental contribution towards the real-time monitoring of Compliance in process-driven enterprises. HighlightsUses the visual extended Compliance Rule Graph (eCRG) language for modeling Compliance Rules.Supports multiple process perspecitves including control flow, time, resouces and interactions with partner processes.Visually monitors business process Compliance through annotating eCRGs with text, colors and symbols.Illustrates compliant and non-compliant events in a user-friendly way.Supports users in discovering the root causes of failures.Enables the recommendation of activities that are required to reach compliant states again.Is able to deal with multiple activations of Compliance Rules.Provides a generic support of Compliance metrics.
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A Visual Language for Modeling Business Process Compliance Rules
2017Co-Authors: David Knuplesch, Manfred ReichertAbstract:A fundamental challenge for enterprises is to ensure Compliance of their business processes with imposed Compliance Rules stemming from various sources, e.g., corporate guidelines, best practices, standards, and laws. In general, a Compliance Rule may refer to multiple process perspectives including control flow, time, data, resources, and interactions with business partners. On one hand, Compliance Rules should be comprehensible for domain experts who must define, verify and apply them. On the other, these Rules should have a precise semantics to avoid ambiguities and enable their automated processing. Providing a visual language is advantageous in this context as it allows hiding formal details and offering an intuitive way of modeling the Compliance Rules. However, existing visual languages for Compliance Rule modeling have focused on the control flow perspective so far, but lack proper support for the other process perspectives. To remedy this drawback, this paper introduces the extended Compliance Rule Graph language, which enables the visual modeling of Compliance Rules with the support of multiple perspectives. Overall, this language will foster the modeling and verification of Compliance Rules in practice.
Manfred Reichert - One of the best experts on this subject based on the ideXlab platform.
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A visual language for modeling multiple perspectives of business process Compliance Rules
Software & Systems Modeling, 2017Co-Authors: David Knuplesch, Manfred ReichertAbstract:A fundamental challenge for enterprises is to ensure Compliance of their business processes with imposed Compliance Rules stemming from various sources, e.g., corporate guidelines, best practices, standards, and laws. In general, a Compliance Rule may refer to multiple process perspectives including control flow, time, data, resources, and interactions with business partners. On one hand, Compliance Rules should be comprehensible for domain experts who must define, verify, and apply them. On the other, these Rules should have a precise semantics to avoid ambiguities and enable their automated processing. Providing a visual language is advantageous in this context as it allows hiding formal details and offering an intuitive way of modeling the Compliance Rules. However, existing visual languages for Compliance Rule modeling have focused on the control flow perspective so far, but lack proper support for the other process perspectives. To remedy this drawback, this paper introduces the extended Compliance Rule Graph language, which enables the visual modeling of Compliance Rules with the support of multiple perspectives. Overall, this language will foster the modeling and verification of Compliance Rules in practice.
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A Framework for Visually Monitoring Business ProcessCompliance (Extended Abstract)
2017Co-Authors: David Knuplesch, Manfred Reichert, Akhil KumarAbstract:Any enterprise must ensure that its business processes comply with imposed Compliance Rules. This extended abstract presents a comprehensive framework for visually monitoring business process Compliance. As opposed to existing approaches, the framework supports the visual monitoring of all relevant process perspectives based on the extended Compliance Rule Graph (eCRG) language. Furthermore, it not only allows for the detection of violations, but additionally highlights their causes. Finally, the framework assists users in both monitoring business process Compliance and ensuring the compliant continuation of running business processes. Overall, the framework provides a fundamental contribution towards the real-time monitoring of Compliance in process-driven enterprises.
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a framework for visually monitoring business process Compliance
Information Systems, 2017Co-Authors: David Knuplesch, Manfred Reichert, Akhil KumarAbstract:Any enterprise must ensure that its business processes comply with imposed Compliance Rules. The latter stem, for example, from corporate guidelines, legal regulations, and best practices. In general, a Compliance Rule may constrain multiple perspectives of a business process, including behavior (i.e. control flow), data, time, resources, and interactions with business partners. As a particular challenge, Compliance cannot be completely ensured at design time, but needs to be continuously monitored during process enactment as well, i.e., it has to be dynamically checked whether Compliance Rules are satisfied or temporarily/permanently violated. This paper presents a comprehensive framework for visually monitoring business process Compliance. As opposed to existing approaches, the framework supports the visual monitoring of all relevant process perspectives based on the extended Compliance Rule Graph (eCRG) language. Furthermore, it not only allows for the detection of violations, but additionally highlights their causes. Finally, the framework assists users in both monitoring business process Compliance and ensuring the compliant continuation of running business processes. Overall, the framework provides a fundamental contribution towards the real-time monitoring of Compliance in process-driven enterprises. HighlightsUses the visual extended Compliance Rule Graph (eCRG) language for modeling Compliance Rules.Supports multiple process perspecitves including control flow, time, resouces and interactions with partner processes.Visually monitors business process Compliance through annotating eCRGs with text, colors and symbols.Illustrates compliant and non-compliant events in a user-friendly way.Supports users in discovering the root causes of failures.Enables the recommendation of activities that are required to reach compliant states again.Is able to deal with multiple activations of Compliance Rules.Provides a generic support of Compliance metrics.
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A Visual Language for Modeling Business Process Compliance Rules
2017Co-Authors: David Knuplesch, Manfred ReichertAbstract:A fundamental challenge for enterprises is to ensure Compliance of their business processes with imposed Compliance Rules stemming from various sources, e.g., corporate guidelines, best practices, standards, and laws. In general, a Compliance Rule may refer to multiple process perspectives including control flow, time, data, resources, and interactions with business partners. On one hand, Compliance Rules should be comprehensible for domain experts who must define, verify and apply them. On the other, these Rules should have a precise semantics to avoid ambiguities and enable their automated processing. Providing a visual language is advantageous in this context as it allows hiding formal details and offering an intuitive way of modeling the Compliance Rules. However, existing visual languages for Compliance Rule modeling have focused on the control flow perspective so far, but lack proper support for the other process perspectives. To remedy this drawback, this paper introduces the extended Compliance Rule Graph language, which enables the visual modeling of Compliance Rules with the support of multiple perspectives. Overall, this language will foster the modeling and verification of Compliance Rules in practice.
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EMISA - A Visual Language for Modeling Multiple Perspectives of Business Process Compliance Rules (Extended Abstract).
Emisa Forum, 2016Co-Authors: David Knuplesch, Manfred ReichertAbstract:A fundamental challenge for enterprises is to ensure Compliance of their business processes with imposed Compliance Rules stemming from various sources, e.g., corporate guidelines, best practices, standards, and laws. In general, a Compliance Rule may refer to multiple process perspectives including control flow, time, data, resources, and interactions with business partners. On one hand, Compliance Rules should be comprehensible for domain experts who must define, verify and apply them. On the other, these Rules should have a precise semantics to avoid ambiguities and enable their automated processing. Providing a visual language is advantageous in this context as it allows hiding formal details and offering an intuitive way of modeling the Compliance Rules. However, existing visual languages for Compliance Rule modeling have focused on the control flow perspective so far, but lack proper support for the other process perspectives. To remedy this drawback, we introduce the extended Compliance Rule Graph language, which enables the visual modeling of Compliance Rules with the support of multiple perspectives. Overall, this language will foster the modeling and verification of Compliance Rules in practice.
Akhil Kumar - One of the best experts on this subject based on the ideXlab platform.
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A Framework for Visually Monitoring Business ProcessCompliance (Extended Abstract)
2017Co-Authors: David Knuplesch, Manfred Reichert, Akhil KumarAbstract:Any enterprise must ensure that its business processes comply with imposed Compliance Rules. This extended abstract presents a comprehensive framework for visually monitoring business process Compliance. As opposed to existing approaches, the framework supports the visual monitoring of all relevant process perspectives based on the extended Compliance Rule Graph (eCRG) language. Furthermore, it not only allows for the detection of violations, but additionally highlights their causes. Finally, the framework assists users in both monitoring business process Compliance and ensuring the compliant continuation of running business processes. Overall, the framework provides a fundamental contribution towards the real-time monitoring of Compliance in process-driven enterprises.
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a framework for visually monitoring business process Compliance
Information Systems, 2017Co-Authors: David Knuplesch, Manfred Reichert, Akhil KumarAbstract:Any enterprise must ensure that its business processes comply with imposed Compliance Rules. The latter stem, for example, from corporate guidelines, legal regulations, and best practices. In general, a Compliance Rule may constrain multiple perspectives of a business process, including behavior (i.e. control flow), data, time, resources, and interactions with business partners. As a particular challenge, Compliance cannot be completely ensured at design time, but needs to be continuously monitored during process enactment as well, i.e., it has to be dynamically checked whether Compliance Rules are satisfied or temporarily/permanently violated. This paper presents a comprehensive framework for visually monitoring business process Compliance. As opposed to existing approaches, the framework supports the visual monitoring of all relevant process perspectives based on the extended Compliance Rule Graph (eCRG) language. Furthermore, it not only allows for the detection of violations, but additionally highlights their causes. Finally, the framework assists users in both monitoring business process Compliance and ensuring the compliant continuation of running business processes. Overall, the framework provides a fundamental contribution towards the real-time monitoring of Compliance in process-driven enterprises. HighlightsUses the visual extended Compliance Rule Graph (eCRG) language for modeling Compliance Rules.Supports multiple process perspecitves including control flow, time, resouces and interactions with partner processes.Visually monitors business process Compliance through annotating eCRGs with text, colors and symbols.Illustrates compliant and non-compliant events in a user-friendly way.Supports users in discovering the root causes of failures.Enables the recommendation of activities that are required to reach compliant states again.Is able to deal with multiple activations of Compliance Rules.Provides a generic support of Compliance metrics.
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BPM - Visually Monitoring Multiple Perspectives of Business Process Compliance
Lecture Notes in Computer Science, 2015Co-Authors: David Knuplesch, Manfred Reichert, Akhil KumarAbstract:A challenge for any enterprise is to ensure conformance of its business processes with imposed Compliance Rules. The latter may constrain multiple perspectives of a business process, including control flow, data, time, resources, and interactions with business partners. However, business process Compliance cannot completely be decided at design time, but needs to be monitored during run time as well. This paper introduces a comprehensive framework for visually monitoring business process Compliance. As opposed to existing approaches, the framework supports the visual monitoring of all relevant process perspectives based on the extended Compliance Rule Graph eCRG language. Furthermore, it not only allows detecting Compliance violations, but visually highlights their causes as well. Finally, the framework assists users in monitoring business process Compliance and ensuring a compliant continuation of their running business processes.
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visual modeling of business process Compliance Rules with the support of multiple perspectives
International Conference on Conceptual Modeling, 2013Co-Authors: David Knuplesch, Linh Thao Ly, Akhil Kumar, Manfred Reichert, Stefanie RinderlemaAbstract:A fundamental challenge for any process-aware information system is to ensure Compliance of modeled and executed business processes with imposed Compliance Rules stemming from guidelines, standards and laws. Such Compliance Rules usually refer to multiple process perspectives including control flow, time, resources, data, and interactions with business partners. On one hand, Compliance Rules should be comprehensible for domain experts who must define and apply them. On the other, they should have a precise semantics such that they can be automatically processed. In this context, providing a visual Compliance Rule language seems promising as it allows hiding formal details and offers an intuitive way of modeling. So far, visual Compliance Rule languages have focused on the control flow perspective, but lack adequate support for the other perspectives. To remedy this drawback, this paper provides an approach that extends visual Compliance Rule languages with the ability to consider data, time, resources, and partner interactions when modeling business process Compliance Rules. Overall, this extension will foster business process Compliance support in practice.
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On the Formal Semantics of the Extended Compliance Rule Graph
2013Co-Authors: David Knuplesch, Akhil Kumar, Manfred Reichert, Stefanie Rinderle-maAbstract:A fundamental challenge for any process-aware information system is to ensure Compliance of modeled and executed business processes with imposed Compliance Rules stemming from guidelines, standards and laws. Such Compliance Rules usually refer to multiple process perspectives including control flow, data, time, and resources as well as interactions with business partners. On one hand, Compliance Rules should be comprehensible for domain experts who must define and apply them. On the other, Compliance Rules should have precise semantics such that they can be automatically processed. In this context, providing a visual Compliance Rule language, which hides formal details from Rule designers, is crucial in order to enable an intuitive way of modeling. So far, visual Compliance Rule languages have focused on the control flow perspective, but lack adequate support for the other perspectives. To remedy this drawback, this report introduces the extended Compliance Rule Graph language and its formal semantics.
Stefanie Rinderlema - One of the best experts on this subject based on the ideXlab platform.
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visual modeling of business process Compliance Rules with the support of multiple perspectives
International Conference on Conceptual Modeling, 2013Co-Authors: David Knuplesch, Linh Thao Ly, Akhil Kumar, Manfred Reichert, Stefanie RinderlemaAbstract:A fundamental challenge for any process-aware information system is to ensure Compliance of modeled and executed business processes with imposed Compliance Rules stemming from guidelines, standards and laws. Such Compliance Rules usually refer to multiple process perspectives including control flow, time, resources, data, and interactions with business partners. On one hand, Compliance Rules should be comprehensible for domain experts who must define and apply them. On the other, they should have a precise semantics such that they can be automatically processed. In this context, providing a visual Compliance Rule language seems promising as it allows hiding formal details and offers an intuitive way of modeling. So far, visual Compliance Rule languages have focused on the control flow perspective, but lack adequate support for the other perspectives. To remedy this drawback, this paper provides an approach that extends visual Compliance Rule languages with the ability to consider data, time, resources, and partner interactions when modeling business process Compliance Rules. Overall, this extension will foster business process Compliance support in practice.
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monitoring business process Compliance using Compliance Rule graphs
International Conference on Move to Meaningful Internet Systems, 2011Co-Authors: Stefanie Rinderlema, David Knuplesch, Peter DadamAbstract:Driven by recent trends, effective Compliance control has become a crucial success factor for companies nowadays. In this context, Compliance monitoring is considered an important building block to support business process Compliance. Key to the practical application of a monitoring framework will be its ability to reveal and pinpoint violations of imposed Compliance Rules that occur during process execution. In this context, we propose a Compliance monitoring framework that tackles three major challenges. As a Compliance Rule can become activated multiple times within a process execution, monitoring only its overall enforcement can be insufficient to assess and deal with Compliance violations. Therefore, our approach enables to monitor each activation of a Compliance Rule individually. In case of violations, we are able to derive the particular root cause, which is helpful to apply specific remedy strategies. Even if a Rule activation is not yet violated, the framework can provide assistance in proactively enforcing Compliance by deriving measures to render the Rule activation satisfied.
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activity oriented clustering techniques in large process and Compliance Rule repositories
Business Process Management, 2011Co-Authors: Stefanie Rinderlema, Sonja KabicherAbstract:Organizations often have to deal with large collections of business process models and Compliance Rules. Particular challenges in this context are Compliance checks, consistency checks, and the maintenance of the process and Rule repositories. In case that a-priory knowledge about dependencies within the process base and the Rule base is not available, Compliance checking must be performed by verifying all Rules for each process, which turns out to be very costly in a context of large process and Rule repositories. In this paper we present activity-oriented clustering techniques for efficient Compliance checking which are particularly applicable in process and Rule repositories where no a-priori clustering is considered. Further it is shown how the proposed clustering techniques influence the complexity of consistency checks. Finally, qualitative and quantitative aspects of the presented clustering techniques are discussed. The techniques provide a first step to effective and efficient management of large business process and Compliance Rule repositories.
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design and verification of instantiable Compliance Rule graphs in process aware information systems
Conference on Advanced Information Systems Engineering, 2010Co-Authors: Linh Thao Ly, Stefanie Rinderlema, Peter DadamAbstract:For enterprises it has become crucial to check Compliance of their business processes with certain Rules such as medical guidelines or financial regulations. When automating Compliance checks on process models, existing approaches have mainly addressed process-specific Compliance Rules so far, i.e., Rules that correspond to a particular process model. However, in practice, we will rather find process-independent Compliance Rules that are nevertheless to be checked over process models. Thus, in this paper, we present an approach that enables the instantiation and verification of process-independent Compliance Rules over process models using domain models. For this, we provide an intuitive visualization of Compliance Rules and Compliance Rule instances at user level and show how Rules and instances can be formalized and verified at system level. The overall approach is validated by a pattern-based comparison to existing approaches and by means of a prototypical implementation.
Sonja Kabicher - One of the best experts on this subject based on the ideXlab platform.
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Business Process Management Workshops (2) - Activity-Oriented Clustering Techniques in Large Process and Compliance Rule Repositories
Business Process Management Workshops, 2012Co-Authors: Stefanie Rinderle-ma, Sonja KabicherAbstract:Organizations often have to deal with large collections of business process models and Compliance Rules. Particular challenges in this context are Compliance checks, consistency checks, and the maintenance of the process and Rule repositories. In case that a-priory knowledge about dependencies within the process base and the Rule base is not available, Compliance checking must be performed by verifying all Rules for each process, which turns out to be very costly in a context of large process and Rule repositories. In this paper we present activity-oriented clustering techniques for efficient Compliance checking which are particularly applicable in process and Rule repositories where no a-priori clustering is considered. Further it is shown how the proposed clustering techniques influence the complexity of consistency checks. Finally, qualitative and quantitative aspects of the presented clustering techniques are discussed. The techniques provide a first step to effective and efficient management of large business process and Compliance Rule repositories.
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activity oriented clustering techniques in large process and Compliance Rule repositories
Business Process Management, 2011Co-Authors: Stefanie Rinderlema, Sonja KabicherAbstract:Organizations often have to deal with large collections of business process models and Compliance Rules. Particular challenges in this context are Compliance checks, consistency checks, and the maintenance of the process and Rule repositories. In case that a-priory knowledge about dependencies within the process base and the Rule base is not available, Compliance checking must be performed by verifying all Rules for each process, which turns out to be very costly in a context of large process and Rule repositories. In this paper we present activity-oriented clustering techniques for efficient Compliance checking which are particularly applicable in process and Rule repositories where no a-priori clustering is considered. Further it is shown how the proposed clustering techniques influence the complexity of consistency checks. Finally, qualitative and quantitative aspects of the presented clustering techniques are discussed. The techniques provide a first step to effective and efficient management of large business process and Compliance Rule repositories.