The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
Marcello La Rosa - One of the best experts on this subject based on the ideXlab platform.
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Handbook of Research on Business Process Modeling - Modelling Business Process Variability for Design-Time Configuration
Science & Engineering Faculty, 2020Co-Authors: Marcello La Rosa, Marlon Dumas, Arthur H M Ter HofstedeAbstract:A Reference Process model represents multiple variants of a common business Process in an inte-grated and reusable manner. It is intended to be individualized in order to fit the requirements of a specific organization or project. This practice of individualizing Reference Process models provides an attractive alternative with respect to designing Process models from scratch. In particular, it en-ables the reuse of proven practices. This chapter introduces techniques for representing variability in the context of Reference Process models, as well as techniques that facilitate the individualization of Reference Process models with respect to a given set of requirements.
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Modelling Business Process Variability
2020Co-Authors: Marcello La Rosa, Marlon Dumas, Arthur H M Ter HofstedeAbstract:A Reference Process model represents multiple variants of a common business Process in an inte-grated and reusable manner. It is intended to be individualized in order to fit the requirements of a specific organization or project. This practice of individualizing Reference Process models provides an attractive alternative with respect to designing Process models from scratch. In particular, it en-ables the reuse of proven practices. This chapter introduces techniques for representing variability in the context of Reference Process models, as well as techniques that facilitate the individualization of Reference Process model with respect to a given set of requirements.
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FASE - Correctness-preserving configuration of business Process models
Fundamental Approaches to Software Engineering, 2008Co-Authors: Wil M P Van Der Aalst, Marlon Dumas, Marcello La Rosa, Arthur H M Ter Hofstede, Florian Gottschalk, Jan MendlingAbstract:Reference Process models capture recurrent business operations in a given domain such as procurement or logistics. These models are intended to be configured to fit the requirements of specific organizations or projects, leading to individualized Process models that are subsequently used for domain analysis or solution design. Although the advantages of reusing Reference Process models compared to designing Process models from scratch are widely accepted, the methods employed to configure Reference Process models are manual and error-prone. In particular, analysts are left with the burden of ensuring the correctness of the individualized Process models and to manually fix errors. This paper proposes a foundation for configuring Reference Process models incrementally and in a way that ensures the correctness of the individualized Process models, both with respect to syntax and behavioral semantics. Specifically, assuming the Reference Process model is behaviorally sound, the individualized Process models are guaranteed to be sound.
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linking domain models and Process models for Reference model configuration
Business Process Management, 2007Co-Authors: Marcello La Rosa, Marlon Dumas, Florian Gottschalk, Wil M P Van Der AalstAbstract:Reference Process models capture common practices in a given domain and variations thereof. Such models are intended to be configured in a specific setting, leading to individualized Process models. Although the advantages of Reference Process models are widely accepted, their configuration still requires a high degree of modeling expertise. Thus users not only need to be domain experts, but also need to master the notation in which the Reference Process model is captured. In this paper we propose a framework for Reference Process modeling wherein the domain variability is represented separately from the actual Process model. Domain variability is captured as a questionnaire that reflects the decisions that need to be made during configuration and their interrelationships. This questionnaire allows subject matter experts to configure the Process model without requiring them to understand the Process modeling notation. The approach guarantees that the resulting Process models are correct according to certain constraints. To demonstrate the applicability of the proposal, we have implemented a questionnaire toolset that guides users through the configuration of Reference Process models captured in two different notations.
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Business Process Management Workshops - Linking domain models and Process models for Reference model configuration
Business Process Management Workshops, 2007Co-Authors: Marcello La Rosa, Marlon Dumas, Florian Gottschalk, Wil M P Van Der AalstAbstract:Reference Process models capture common practices in a given domain and variations thereof. Such models are intended to be configured in a specific setting, leading to individualized Process models. Although the advantages of Reference Process models are widely accepted, their configuration still requires a high degree of modeling expertise. Thus users not only need to be domain experts, but also need to master the notation in which the Reference Process model is captured. In this paper we propose a framework for Reference Process modeling wherein the domain variability is represented separately from the actual Process model. Domain variability is captured as a questionnaire that reflects the decisions that need to be made during configuration and their interrelationships. This questionnaire allows subject matter experts to configure the Process model without requiring them to understand the Process modeling notation. The approach guarantees that the resulting Process models are correct according to certain constraints. To demonstrate the applicability of the proposal, we have implemented a questionnaire toolset that guides users through the configuration of Reference Process models captured in two different notations.
Arthur H M Ter Hofstede - One of the best experts on this subject based on the ideXlab platform.
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Handbook of Research on Business Process Modeling - Modelling Business Process Variability for Design-Time Configuration
Science & Engineering Faculty, 2020Co-Authors: Marcello La Rosa, Marlon Dumas, Arthur H M Ter HofstedeAbstract:A Reference Process model represents multiple variants of a common business Process in an inte-grated and reusable manner. It is intended to be individualized in order to fit the requirements of a specific organization or project. This practice of individualizing Reference Process models provides an attractive alternative with respect to designing Process models from scratch. In particular, it en-ables the reuse of proven practices. This chapter introduces techniques for representing variability in the context of Reference Process models, as well as techniques that facilitate the individualization of Reference Process models with respect to a given set of requirements.
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Modelling Business Process Variability
2020Co-Authors: Marcello La Rosa, Marlon Dumas, Arthur H M Ter HofstedeAbstract:A Reference Process model represents multiple variants of a common business Process in an inte-grated and reusable manner. It is intended to be individualized in order to fit the requirements of a specific organization or project. This practice of individualizing Reference Process models provides an attractive alternative with respect to designing Process models from scratch. In particular, it en-ables the reuse of proven practices. This chapter introduces techniques for representing variability in the context of Reference Process models, as well as techniques that facilitate the individualization of Reference Process model with respect to a given set of requirements.
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FASE - Correctness-preserving configuration of business Process models
Fundamental Approaches to Software Engineering, 2008Co-Authors: Wil M P Van Der Aalst, Marlon Dumas, Marcello La Rosa, Arthur H M Ter Hofstede, Florian Gottschalk, Jan MendlingAbstract:Reference Process models capture recurrent business operations in a given domain such as procurement or logistics. These models are intended to be configured to fit the requirements of specific organizations or projects, leading to individualized Process models that are subsequently used for domain analysis or solution design. Although the advantages of reusing Reference Process models compared to designing Process models from scratch are widely accepted, the methods employed to configure Reference Process models are manual and error-prone. In particular, analysts are left with the burden of ensuring the correctness of the individualized Process models and to manually fix errors. This paper proposes a foundation for configuring Reference Process models incrementally and in a way that ensures the correctness of the individualized Process models, both with respect to syntax and behavioral semantics. Specifically, assuming the Reference Process model is behaviorally sound, the individualized Process models are guaranteed to be sound.
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questionnaire driven configuration of Reference Process models
Conference on Advanced Information Systems Engineering, 2007Co-Authors: Marcello La Rosa, Marlon Dumas, Stefan Seidel, Arthur H M Ter HofstedeAbstract:Reference models are a widely accepted means to facilitate reusable information system and organizational design. At present, besides domain knowledge, the configuration of a Reference model requires a thorough understanding of the notation it is captured in. This hinders the involvement of domain experts without specialized modeling background, in the configuration of Reference models. In this paper, we propose a questionnaire-driven approach to Reference model configuration which abstracts away from the modeling language. For illustration, we show how this approach can be applied to Reference Process models captured in the Configurable EPC notation. To demonstrate its applicability, the proposal has been implemented as a toolset that guides users through the configuration Process by means of a form-based interface.
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CAiSE - Questionnaire-driven configuration of Reference Process models
Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 2007Co-Authors: Marcello La Rosa, Marlon Dumas, Stefan Seidel, Arthur H M Ter HofstedeAbstract:Reference models are a widely accepted means to facilitate reusable information system and organizational design. At present, besides domain knowledge, the configuration of a Reference model requires a thorough understanding of the notation it is captured in. This hinders the involvement of domain experts without specialized modeling background, in the configuration of Reference models. In this paper, we propose a questionnaire-driven approach to Reference model configuration which abstracts away from the modeling language. For illustration, we show how this approach can be applied to Reference Process models captured in the Configurable EPC notation. To demonstrate its applicability, the proposal has been implemented as a toolset that guides users through the configuration Process by means of a form-based interface.
Marlon Dumas - One of the best experts on this subject based on the ideXlab platform.
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Handbook of Research on Business Process Modeling - Modelling Business Process Variability for Design-Time Configuration
Science & Engineering Faculty, 2020Co-Authors: Marcello La Rosa, Marlon Dumas, Arthur H M Ter HofstedeAbstract:A Reference Process model represents multiple variants of a common business Process in an inte-grated and reusable manner. It is intended to be individualized in order to fit the requirements of a specific organization or project. This practice of individualizing Reference Process models provides an attractive alternative with respect to designing Process models from scratch. In particular, it en-ables the reuse of proven practices. This chapter introduces techniques for representing variability in the context of Reference Process models, as well as techniques that facilitate the individualization of Reference Process models with respect to a given set of requirements.
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Modelling Business Process Variability
2020Co-Authors: Marcello La Rosa, Marlon Dumas, Arthur H M Ter HofstedeAbstract:A Reference Process model represents multiple variants of a common business Process in an inte-grated and reusable manner. It is intended to be individualized in order to fit the requirements of a specific organization or project. This practice of individualizing Reference Process models provides an attractive alternative with respect to designing Process models from scratch. In particular, it en-ables the reuse of proven practices. This chapter introduces techniques for representing variability in the context of Reference Process models, as well as techniques that facilitate the individualization of Reference Process model with respect to a given set of requirements.
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Modelling Business Process Variability for Design-Time Configuration
Handbook of Research on Business Process Modeling, 2009Co-Authors: Marcello La Rosa, Marlon Dumas, Arthur H.m. Ter HofstedeAbstract:A Reference Process model represents multiple variants of a common business Process in an inte-grated and reusable manner. It is intended to be individualized in order to fit the requirements of a specific organization or project. This practice of individualizing Reference Process models provides an attractive alternative with respect to designing Process models from scratch. In particular, it en-ables the reuse of proven practices. This chapter introduces techniques for representing variability in the context of Reference Process models, as well as techniques that facilitate the individualization of Reference Process models with respect to a given set of requirements.
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FASE - Correctness-preserving configuration of business Process models
Fundamental Approaches to Software Engineering, 2008Co-Authors: Wil M P Van Der Aalst, Marlon Dumas, Marcello La Rosa, Arthur H M Ter Hofstede, Florian Gottschalk, Jan MendlingAbstract:Reference Process models capture recurrent business operations in a given domain such as procurement or logistics. These models are intended to be configured to fit the requirements of specific organizations or projects, leading to individualized Process models that are subsequently used for domain analysis or solution design. Although the advantages of reusing Reference Process models compared to designing Process models from scratch are widely accepted, the methods employed to configure Reference Process models are manual and error-prone. In particular, analysts are left with the burden of ensuring the correctness of the individualized Process models and to manually fix errors. This paper proposes a foundation for configuring Reference Process models incrementally and in a way that ensures the correctness of the individualized Process models, both with respect to syntax and behavioral semantics. Specifically, assuming the Reference Process model is behaviorally sound, the individualized Process models are guaranteed to be sound.
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linking domain models and Process models for Reference model configuration
Business Process Management, 2007Co-Authors: Marcello La Rosa, Marlon Dumas, Florian Gottschalk, Wil M P Van Der AalstAbstract:Reference Process models capture common practices in a given domain and variations thereof. Such models are intended to be configured in a specific setting, leading to individualized Process models. Although the advantages of Reference Process models are widely accepted, their configuration still requires a high degree of modeling expertise. Thus users not only need to be domain experts, but also need to master the notation in which the Reference Process model is captured. In this paper we propose a framework for Reference Process modeling wherein the domain variability is represented separately from the actual Process model. Domain variability is captured as a questionnaire that reflects the decisions that need to be made during configuration and their interrelationships. This questionnaire allows subject matter experts to configure the Process model without requiring them to understand the Process modeling notation. The approach guarantees that the resulting Process models are correct according to certain constraints. To demonstrate the applicability of the proposal, we have implemented a questionnaire toolset that guides users through the configuration of Reference Process models captured in two different notations.
Andreas Wombacher - One of the best experts on this subject based on the ideXlab platform.
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Mining business Process variants: Challenges, scenarios, algorithms
Data and Knowledge Engineering, 2011Co-Authors: Chen Li, Manfred Reichert, Andreas WombacherAbstract:During the last years a new generation of Process-aware information systems has emerged, which enables Process model configurations at buildtime as well as Process instance changes during runtime. Respective model adaptations result in a large number of model variants that are derived from the same Process model, but slightly differ in structure. Generally, such model variants are expensive to configure and maintain. In this paper we address two scenarios for learning from Process model adaptations and for discovering a Reference model out of which the variants can be configured with minimum efforts. The first one is characterized by a Reference Process model and a collection of related Process variants. The goal is to improve the original Reference Process model such that it fits better to the variant models. The second scenario comprises a collection of Process variants, while the original Reference model is unknown; i.e., the goal is to "merge" these variants into a new Reference Process model. We suggest two algorithms that are applicable in both scenarios, but have their pros and cons. We provide a systematic comparison of the two algorithms and further contrast them with conventional Process mining techniques. Comparison results indicate good performance of our algorithms and also show that specific techniques are needed for learning from Process configurations and adaptations. Finally, we provide results from a case study in automotive industry in which we successfully applied our algorithms. © 2011 Elsevier B.V.
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the minadept clustering approach for discovering Reference Process models out of Process variants
International Journal of Cooperative Information Systems, 2010Co-Authors: Chen Li, Manfred Reichert, Andreas WombacherAbstract:During the last years a new generation of adaptive Process-Aware Information Systems (PAIS) has emerged, which enables dynamic Process changes at runtime, while preserving PAIS robustness and consistency. Such adaptive PAIS allow authorized users to add new Process activities, to delete existing activities, or to change pre-defined activity sequences during runtime. Both this runtime flexibility and Process configurations at build-time, lead to a large number of Process variants being derived from the same Process model, but slightly differing in structure due to the applied changes. Generally, Process variants are expensive to configure and difficult to maintain. This paper presents selected results from our MinAdept project. In particular, we provide a clustering algorithm that fosters learning from past Process changes by mining a collection of Process variants. As mining result we obtain a Process model for which average distance to the Process variant models becomes minimal. By adopting this Process model as Reference model in the PAIS, need for future Process configuration and adaptation decreases. We have validated our clustering algorithm by means of a case study as well as comprehensive simulations. Altogether, our vision is to enable full Process lifecycle support in adaptive PAIS.
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ICWS - Discovering Reference Process Models by Mining Process Variants
2008 IEEE International Conference on Web Services, 2008Co-Authors: Chen Li, Manfred Reichert, Andreas WombacherAbstract:Recently, a new generation of adaptive Process-Aware Information Systems (PAIS) has emerged, which allows for dynamic Process and service changes (e.g., to insert, delete, and move activities and service executions in a running Process). This, in turn, has led to a large number of Process variants derived from the same model, but differing in structure due to the applied changes. Generally, such Process variants are expensive to configure and difficult to maintain. This paper provides a sophisticated approach which fosters learning from past Process changes and allows for mining Process variants. As a result we obtain a generic Process model for which the average distance between this model and the respective Process variants becomes minimal. By adopting this generic model in the PAIS, need for future Process configuration and adaptation decreases. We have validated the proposed mining method and implemented it in a powerful proof-of-concept prototype.
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Discovering Reference Process Models by Mining Process Variants
2008 IEEE International Conference on Web Services, 2008Co-Authors: Chen Li, Manfred Reichert, Andreas WombacherAbstract:Recently, a new generation of adaptive Process-Aware Information Systems (PAIS) has emerged, which allows for dynamic Process and service changes (e.g., to insert, delete, and move activities and service executions in a running Process). This, in turn, has led to a large number of Process variants derived from the same model, but differing in structure due to the applied changes. Generally, such Process variants are expensive to configure and difficult to maintain. This paper provides a sophisticated approach which fosters learning from past Process changes and allows for mining Process variants. As a result we obtain a generic Process model for which the average distance between this model and the respective Process variants becomes minimal. By adopting this generic model in the PAIS, need for future Process configuration and adaptation decreases. We have validated the proposed mining method and implemented it in a powerful proof-of-concept prototype.
L. Baacke - One of the best experts on this subject based on the ideXlab platform.
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HICSS - Component-Based Distributed Modeling of Collaborative Service Processes - A Methodology for the Identification of Reference Process Building Blocks
2009 42nd Hawaii International Conference on System Sciences, 2009Co-Authors: L. Baacke, P. Rohner, R. Winter, R. FittererAbstract:Documenting complex and collaborative business Processes is time-consuming and cost-intensive. Reference modeling offers compositional mechanisms which provide the ability to overcome such challenges by supporting component-oriented procedural structures. This paper describes a methodology for the domain-independent development of components, in the following called Reference Process building blocks (RPBBs), which can be used for distributed, i.e. asynchronous collaborative, modeling of complex and cross-departmental Process structures. Initially, fundamental requirements and the structuring of RPBBs into activities and information objects are discussed. The RPBB generation procedure consisting of identification, evaluation and revision is then applied using the public sector as an example and the resulting RPBB catalogue is presented. Finally, formal and contentual evaluations are described which both confirm the applicability of the identified RPBBs for distributed modeling of complex, collaborative Processes as well as the usability of the designed methodology.
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Component-Based Distributed Modeling of Collaborative Service Processes - A Methodology for the Identification of Reference Process Building Blocks
2009 42nd Hawaii International Conference on System Sciences, 2009Co-Authors: L. Baacke, P. Rohner, R. Winter, R. FittererAbstract:Documenting complex and collaborative business Processes is time-consuming and cost-intensive. Reference modeling offers compositional mechanisms which provide the ability to overcome such challenges by supporting component-oriented procedural structures. This paper describes a methodology for the domain-independent development of components, in the following called Reference Process building blocks (RPBBs), which can be used for distributed, i.e. asynchronous collaborative, modeling of complex and cross-departmental Process structures. Initially, fundamental requirements and the structuring of RPBBs into activities and information objects are discussed. The RPBB generation procedure consisting of identification, evaluation and revision is then applied using the public sector as an example and the resulting RPBB catalogue is presented. Finally, formal and contentual evaluations are described which both confirm the applicability of the identified RPBBs for distributed modeling of complex, collaborative Processes as well as the usability of the designed methodology.
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Aggregation of Reference Process Building Blocks to Improve Modeling in Public Administrations
2007Co-Authors: L. Baacke, P. Rohner, R. WinterAbstract:Efficient methodological support of Process modeling is an important prerequisite for the identification of modernization and automation potentials in public administrations. This paper analyzes the specific properties of Processes in public administrations and discusses the potential benefits of reuse of Process building blocks from a syntactic, semantic and pragmatic perspective.
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Aggregation of Reference Process Building Blocks to Improve Modeling in Public Administrations (Presentation)
2007Co-Authors: L. BaackeAbstract:Efficient methodological support of Process modeling is an important prerequisite for the identification of modernization and automation potentials in public administrations. This paper analyzes the specific properties of Processes in public administrations and discusses the potential benefits of reuse of Process building blocks from a syntactic, semantic and pragmatic perspective.
