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Adaptive Process

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Peter Dadam – One of the best experts on this subject based on the ideXlab platform.

  • integration and verification of semantic constraints in Adaptive Process management systems
    Data and Knowledge Engineering, 2008
    Co-Authors: Linh Thao Ly, Stefanie Rinderle, Peter Dadam

    Abstract:

    Adaptivity in Process management systems is key to their successful applicability in practice. Approaches have been already developed to ensure system correctness after arbitrary Process changes at the syntactical level (e.g., avoiding inconsistencies such as deadlocks or missing input parameters after a Process change). However, errors may be still caused at the semantical level (e.g., violation of business rules). Therefore, the integration and verification of domain knowledge will flag a milestone in the development of Adaptive Process management technology. In this paper, we introduce a framework for defining semantic constraints over Processes in such a way that they can express real-world domain knowledge on the one hand and are still manageable concerning the effort for maintenance and semantic Process verification on the other hand. This can be used to detect semantic conflicts (e.g., drug incompatibilities) when modeling Process templates, applying ad hoc changes at Process instance level, and propagating Process template modifications to already running Process instances, even if they have been already individually modified themselves; i.e., we present techniques to ensure semantic correctness for single and concurrent changes which are, in addition, minimal regarding the set of semantic constraints to be checked. Together with further optimizations of the semantic checks based on certain Process meta model properties this allows for efficiently verifying Processes. Altogether, the framework presented in this paper provides the basis for Process management systems which are Adaptive and semantic-aware at the same time.

  • Business Process Management – Semantic correctness in Adaptive Process management systems
    Lecture Notes in Computer Science, 2006
    Co-Authors: Linh Thao Ly, Stefanie Rinderle, Peter Dadam

    Abstract:

    Adaptivity in Process Management Systems (PMS) is key to their successful applicability in pratice. Approaches have already been developed to ensure the system correctness after arbitrary Process changes at the syntactical level. However, still errors may be caused at the semantical level. Therefore, the integration of application knowledge will flag a milestone in the development of Process management technology. In this paper, we introduce a framework for defining semantic constraints over Processes in such a way that they can express real-world application knowledge. On the other hand, these constraints are still manageable concerning the effort for maintenance and semantic Process verification. This can be used, for example, to detect semantic conflicts when applying Process changes (e.g., drug incompatibilities). In order to enable the PMS to deal with such semantic conflicts we also introduce a notion of semantic correctness and discuss how to (efficiently) verify semantic correctness in the context of Process changes.

  • semantic correctness in Adaptive Process management systems
    Business Process Management, 2006
    Co-Authors: Stefanie Rinderle, Peter Dadam

    Abstract:

    Adaptivity in Process Management Systems (PMS) is key to their successful applicability in pratice. Approaches have already been developed to ensure the system correctness after arbitrary Process changes at the syntactical level. However, still errors may be caused at the semantical level. Therefore, the integration of application knowledge will flag a milestone in the development of Process management technology. In this paper, we introduce a framework for defining semantic constraints over Processes in such a way that they can express real-world application knowledge. On the other hand, these constraints are still manageable concerning the effort for maintenance and semantic Process verification. This can be used, for example, to detect semantic conflicts when applying Process changes (e.g., drug incompatibilities). In order to enable the PMS to deal with such semantic conflicts we also introduce a notion of semantic correctness and discuss how to (efficiently) verify semantic correctness in the context of Process changes.

Stefanie Rinderle – One of the best experts on this subject based on the ideXlab platform.

  • integration and verification of semantic constraints in Adaptive Process management systems
    Data and Knowledge Engineering, 2008
    Co-Authors: Linh Thao Ly, Stefanie Rinderle, Peter Dadam

    Abstract:

    Adaptivity in Process management systems is key to their successful applicability in practice. Approaches have been already developed to ensure system correctness after arbitrary Process changes at the syntactical level (e.g., avoiding inconsistencies such as deadlocks or missing input parameters after a Process change). However, errors may be still caused at the semantical level (e.g., violation of business rules). Therefore, the integration and verification of domain knowledge will flag a milestone in the development of Adaptive Process management technology. In this paper, we introduce a framework for defining semantic constraints over Processes in such a way that they can express real-world domain knowledge on the one hand and are still manageable concerning the effort for maintenance and semantic Process verification on the other hand. This can be used to detect semantic conflicts (e.g., drug incompatibilities) when modeling Process templates, applying ad hoc changes at Process instance level, and propagating Process template modifications to already running Process instances, even if they have been already individually modified themselves; i.e., we present techniques to ensure semantic correctness for single and concurrent changes which are, in addition, minimal regarding the set of semantic constraints to be checked. Together with further optimizations of the semantic checks based on certain Process meta model properties this allows for efficiently verifying Processes. Altogether, the framework presented in this paper provides the basis for Process management systems which are Adaptive and semantic-aware at the same time.

  • change mining in Adaptive Process management systems
    International Conference on Move to Meaningful Internet Systems, 2006
    Co-Authors: C Christian W Gunther, Manfred Reichert, Stefanie Rinderle, Wil M P Van Der Aalst

    Abstract:

    The wide-spread adoption of Process-aware information systems has resulted in a bulk of computerized information about real-world Processes This data can be utilized for Process performance analysis as well as for Process improvement In this context Process mining offers promising perspectives So far, existing mining techniques have been applied to operational Processes, i.e., knowledge is extracted from execution logs (Process discovery), or execution logs are compared with some a-priori Process model (conformance checking) However, execution logs only constitute one kind of data gathered during Process enactment In particular, Adaptive Processes provide additional information about Process changes (e.g., ad-hoc changes of single Process instances) which can be used to enable organizational learning In this paper we present an approach for mining change logs in Adaptive Process management systems The change Process discovered through Process mining provides an aggregated overview of all changes that happened so far This, in turn, can serve as basis for all kinds of Process improvement actions, e.g., it may trigger Process redesign or better control mechanisms.

  • Business Process Management – On representing, purging, and utilizing change logs in Process management systems
    Lecture Notes in Computer Science, 2006
    Co-Authors: Stefanie Rinderle, Manfred Reichert, Martin Jurisch, Ulrich Kreher

    Abstract:

    In recent years Adaptive Process management technolgy has emerged in order to increase the flexibility of business Process implementations and to support Process changes at different levels. Usually, respective systems log comprehensive information about changes, which can then be used for different purposes including Process traceability, change reuse and Process recovery. Therefore the adequate and efficient representation of change logs is a crucial task for Adaptive Process management systems. In this paper we show which information has to be (minimally) captured in Process change logs and how it should be represented in a generic and efficient way. We discuss different design alternatives and show how to deal with noise in Process change logs. Finally, we present an elegant and efficient implementation approach, which we applied in the ADEPT2 Process management system. Altogether the presented concepts provide an important pillar for Adaptive Process management technology and emerging fields (e.g., Process change mining).

Ulrich Kreher – One of the best experts on this subject based on the ideXlab platform.

  • Business Process Management – On representing, purging, and utilizing change logs in Process management systems
    Lecture Notes in Computer Science, 2006
    Co-Authors: Stefanie Rinderle, Manfred Reichert, Martin Jurisch, Ulrich Kreher

    Abstract:

    In recent years Adaptive Process management technolgy has emerged in order to increase the flexibility of business Process implementations and to support Process changes at different levels. Usually, respective systems log comprehensive information about changes, which can then be used for different purposes including Process traceability, change reuse and Process recovery. Therefore the adequate and efficient representation of change logs is a crucial task for Adaptive Process management systems. In this paper we show which information has to be (minimally) captured in Process change logs and how it should be represented in a generic and efficient way. We discuss different design alternatives and show how to deal with noise in Process change logs. Finally, we present an elegant and efficient implementation approach, which we applied in the ADEPT2 Process management system. Altogether the presented concepts provide an important pillar for Adaptive Process management technology and emerging fields (e.g., Process change mining).

  • on representing purging and utilizing change logs in Process management systems
    Business Process Management, 2006
    Co-Authors: Stefanie Rinderle, Manfred Reichert, Martin Jurisch, Ulrich Kreher

    Abstract:

    In recent years Adaptive Process management technolgy has emerged in order to increase the flexibility of business Process implementations and to support Process changes at different levels. Usually, respective systems log comprehensive information about changes, which can then be used for different purposes including Process traceability, change reuse and Process recovery. Therefore the adequate and efficient representation of change logs is a crucial task for Adaptive Process management systems. In this paper we show which information has to be (minimally) captured in Process change logs and how it should be represented in a generic and efficient way. We discuss different design alternatives and show how to deal with noise in Process change logs. Finally, we present an elegant and efficient implementation approach, which we applied in the ADEPT2 Process management system. Altogether the presented concepts provide an important pillar for Adaptive Process management technology and emerging fields (e.g., Process change mining).

  • on representing instance changes in Adaptive Process management systems
    Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises, 2006
    Co-Authors: Stefanie Rinderle, Ulrich Kreher, Peter Dadam, Martin Lauer, Manfred Reichert

    Abstract:

    By separating the Process logic from the application code Process management systems (PMS) offer promising perspectives for automation and management of business Processes. However, the added value of PMS strongly depends on their ability to support business Process changes which can affect the Process type as well as the Process instance level. This does not only impose challenging conceptual issues (e.g., correctness of Process schemata after changes) but also requires sophisticated implementation concepts with respect to efficient algorithms, flexible architectures, and reasonable treatment of resources. In this paper we sketch the general implementation concepts for representing Process type and Process instance data as well as for realizating Process schema evolution. All these concepts have been developed and are currently implemented in the ADEPT2 prototype within the AristaFlow project.