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.

  • 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.

  • Adaptive Process management with adept2
    International Conference on Data Engineering, 2005
    Co-Authors: Manfred Reichert, Stefanie Rinderle, Ulrich Kreher, Peter Dadam
    Abstract:

    In the ADEPT project we have been working on the design and implementation of next generation Process management software. Based on a conceptual framework for dynamic Process changes, on novel Process support functions, and on advanced implementation concepts, the developed system enables the realization of Adaptive, Process-aware information systems (PAIS). Basically, Process changes can take place at the type as well as the instance level: changes of single Process instances may have to be carried out in an ad-hoc manner and must not affect system robustness and consistency. Process type changes, in turn, must be quickly accomplished in order to adapt the PAIS to business Process changes. ADEPT2 offers powerful concepts for modeling, analyzing, and verifying Process schemes. Particularly, it ensures schema correctness, like the absence of deadlock-causing cycles or erroneous data flows. This, in turn, constitutes an important prerequisite for dynamic Process changes as well. ADEPT2 supports both ad-hoc changes of single Process instances and the propagation of Process type changes to running instances.

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, Stefanie Rinderle, Manfred Reichert, 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, Martin Jurisch, Manfred Reichert, 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).

  • 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.

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, Martin Jurisch, Manfred Reichert, 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, Martin Jurisch, Manfred Reichert, 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.

  • Adaptive Process management with adept2
    International Conference on Data Engineering, 2005
    Co-Authors: Manfred Reichert, Stefanie Rinderle, Ulrich Kreher, Peter Dadam
    Abstract:

    In the ADEPT project we have been working on the design and implementation of next generation Process management software. Based on a conceptual framework for dynamic Process changes, on novel Process support functions, and on advanced implementation concepts, the developed system enables the realization of Adaptive, Process-aware information systems (PAIS). Basically, Process changes can take place at the type as well as the instance level: changes of single Process instances may have to be carried out in an ad-hoc manner and must not affect system robustness and consistency. Process type changes, in turn, must be quickly accomplished in order to adapt the PAIS to business Process changes. ADEPT2 offers powerful concepts for modeling, analyzing, and verifying Process schemes. Particularly, it ensures schema correctness, like the absence of deadlock-causing cycles or erroneous data flows. This, in turn, constitutes an important prerequisite for dynamic Process changes as well. ADEPT2 supports both ad-hoc changes of single Process instances and the propagation of Process type changes to running instances.

Manfred Reichert - One of the best experts on this subject based on the ideXlab platform.

  • providing integrated life cycle support in Process aware information systems
    International Journal of Cooperative Information Systems, 2009
    Co-Authors: Barbara Weber, Manfred Reichert, Stefanie Rinderlema, Werner Wild
    Abstract:

    The need for more flexibility of Process-aware information systems (PAISs) has been discussed for several years and different approaches for Adaptive Process management have emerged. However, only few of them provide support for both changes of individual Process instances and the propagation of Process type changes to a collection of related Process instances. Furthermore, knowledge about Process changes has not yet been exploited by any of these systems. This paper presents the ProCycle approach which overcomes this practical limitation by capturing the whole Process life cycle and all kinds of changes in an integrated way. Users are not only allowed to deviate from the predefined Process in exceptional situations, but are also assisted in retrieving and reusing knowledge about previously performed changes in this context. If similar instance deviations occur frequently, Process engineers will be supported in deriving improved Process models from them. This, in turn, allows engineers to evolve the PAIS (including the knowledge about the changes) over time. Feasability of the ProCycle approach is demonstrated by a proof-of-concept prototype which combines Adaptive Process management technology with concepts and methods provided by case-based reasoning (CBR) technology.

  • change mining in Adaptive Process management systems
    International Conference on Move to Meaningful Internet Systems, 2006
    Co-Authors: C Christian W Gunther, Stefanie Rinderle, Manfred Reichert, 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, Martin Jurisch, Manfred Reichert, 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, Martin Jurisch, Manfred Reichert, 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).

  • improving exception handling by discovering change dependencies in Adaptive Process management systems
    Business Process Management, 2006
    Co-Authors: Barbara Weber, Werner Wild, Markus Lauer, Manfred Reichert
    Abstract:

    Process-aware information systems should enable the flexible alignment of business Processes to new requirements by supporting deviations from the predefined Process model at runtime. To facilitate such dynamic Process changes we have adopted techniques from case-based reasoning (CBR). In particular, our existing approach allows to capture the semantics of ad-hoc changes, to support their memorization, and to enable their reuse in upcoming exceptional situations. To further improve change reuse this paper presents an approach for discovering dependencies between ad-hoc modifications from change history. Based on this information better user assistance can be provided when dynamic Process changes have to be made.

Leonard J Foster - One of the best experts on this subject based on the ideXlab platform.

  • correlation of proteome wide changes with social immunity behaviors provides insight into resistance to the parasitic mite varroa destructor in the honey bee apis mellifera
    Genome Biology, 2012
    Co-Authors: Robert W R Parker, Marta M Guarna, Andony P Melathopoulos, Kyungmee Moon, Richard Allen White, Elizabeth Huxter, Stephen F Pernal, Leonard J Foster
    Abstract:

    Background Disease is a major factor driving the evolution of many organisms. In honey bees, selection for social behavioral responses is the primary Adaptive Process facilitating disease resistance. One such Process, hygienic behavior, enables bees to resist multiple diseases, including the damaging parasitic mite Varroa destructor. The genetic elements and biochemical factors that drive the expression of these adaptations are currently unknown. Proteomics provides a tool to identify proteins that control behavioral Processes, and these proteins can be used as biomarkers to aid identification of disease tolerant colonies.

  • Correlation of proteome-wide changes with social immunity behaviors provides insight into resistance to the parasitic mite, Varroa destructor, in the honey bee (Apis mellifera)
    Genome Biology, 2012
    Co-Authors: Robert Parker, Marta M Guarna, Andony P Melathopoulos, Kyungmee Moon, Elizabeth Huxter, Stephen F Pernal, Rick White, Leonard J Foster
    Abstract:

    Background Disease is a major factor driving the evolution of many organisms. In honey bees, selection for social behavioral responses is the primary Adaptive Process facilitating disease resistance. One such Process, hygienic behavior, enables bees to resist multiple diseases, including the damaging parasitic mite Varroa destructor . The genetic elements and biochemical factors that drive the expression of these adaptations are currently unknown. Proteomics provides a tool to identify proteins that control behavioral Processes, and these proteins can be used as biomarkers to aid identification of disease tolerant colonies. Results We sampled a large cohort of commercial queen lineages, recording overall mite infestation, hygiene, and the specific hygienic response to V. destructor . We performed proteome-wide correlation analyses in larval integument and adult antennae, identifying several proteins highly predictive of behavior and reduced hive infestation. In the larva, response to wounding was identified as a key Adaptive Process leading to reduced infestation, and chitin biosynthesis and immune responses appear to represent important disease resistant adaptations. The speed of hygienic behavior may be underpinned by changes in the antenna proteome, and chemosensory and neurological Processes could also provide specificity for detection of V. destructor in antennae. Conclusions Our results provide, for the first time, some insight into how complex behavioural adaptations manifest in the proteome of honey bees. The most important biochemical correlations provide clues as to the underlying molecular mechanisms of social and innate immunity of honey bees. Such changes are indicative of potential divergence in Processes controlling the hive-worker maturation.