Integrating Process Learning and Process Evolution – A Semantics Based Approach

Rinderle, Stefanie; Weber, Barbara; Reichert, Manfred; Wild, Werner

doi:10.1007/11538394_17

Cited by 82 publications

(69 citation statements)

References 20 publications

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“…This is advantageous, because a proper instance change might be rather difficult to achieve due to various constraints to be taken into account. ProCycle [97,67], for example, has been explicitly developed to support such discovery of desirable process model changes. To automatically detect this smell, the number of instance changes could be used as a metric.…”

Section: Pms6: Unused Branches (Unused Code In Se)mentioning

confidence: 99%

Refactoring large process model repositories

Weber

Reichert

Mendling

et al. 2011

Computers in Industry

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188

120

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With the increasing adoption of process-aware information systems, large process model repositories have emerged. Typically, the models in such repositories are re-aligned to real-world events and demands through adaptation on a day-to-day basis. This bears the risk of introducing model redundancies and of unnecessarily increasing model complexity. If no continuous investment is made in keeping process models simple, changes will become more difficult and error-prone over time. Although refactoring techniques are widely used in software engineering to address similar problems, so far, no comparable state-of-the-art has evolved in the business process management domain. Process designers either have to refactor process models by hand or are simply unable to apply respective techniques at all. This paper proposes a catalogue of process model "smells" for identifying refactoring opportunities. In addition, it introduces a set of behavior-preserving techniques for refactoring large process repositories. The proposed refactorings enable process designers to effectively deal with model complexity by making process models better understandable and easier to maintain. The refactorings have been evaluated using large process repositories from the healthcare and automotive domain. To demonstrate the feasibility of the refactoring techniques, a proof-of-concept prototype has been implemented.

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Section: Pms6: Unused Branches (Unused Code In Se)mentioning

confidence: 99%

Refactoring large process model repositories

Weber

Reichert

Mendling

et al. 2011

Computers in Industry

Self Cite

188

120

View full text Add to dashboard Cite

show abstract

“…Due to space restrictions, we omit further details. For details on superset relations between change operations we refer to [8,11].…”

Section: Sect 32)mentioning

confidence: 99%

Semantic Correctness in Adaptive Process Management Systems

Rinderle

Dadam

2006

Lecture Notes in Computer Science

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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.

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“…Together with our previous work on business process evolution and dynamic process change [38,45,40,39] the presented concepts contribute to a powerful platform enabling the realization of flexible and adaptive information systems.…”

Section: Discussionmentioning

confidence: 97%

“…The ADEPT technology, for example, enables controlled changes at the process type as well as the process instance level (for details see [38,39,40]). Thereby, correctness and consistency constraints of a workflow are preserved when dynamically changing its structure, its state, or its attributes during runtime.…”

Section: Related Workmentioning

confidence: 99%

A Formal Framework for Adaptive Access Control Models

Rinderle

Reichert

Journal on Data Semantics IX

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Abstract. For several reasons enterprises are frequently subject to organizational change. Respective adaptations may concern business processes, but also other components of an enterprise architecture. In particular, changes of organizational structures often become necessary. The information about organizational entities and their relationships is maintained in organizational models. Therefore the quick and correct adaptation of these models is fundamental to adequately cope with organizational changes. However, model changes alone are not sufficient to guarantee consistency. Since organizational models also provide the basis for defining access rules (e.g., actor assignments in workflow management systems or access rules in document-centered applications) this information has to be adapted accordingly (e.g., to avoid dangling references or non-resolvable actor assignments). Current approaches do not adequately address this problem, which often leads to security gaps and delayed change implementation.In this paper we introduce a formal framework for the controlled evolution of organizational models and related access rules. Firstly, we introduce a set of operators with well-defined semantics for defining and changing organizational models. Secondly, we show how to define access rules based on such models. In this context we also define a notion of correctness for access rules. Thirdly, we present a formal framework for the (semi-automated) adaptation of access rules when the underlying organizational model is changed by exploiting the semantics of the applied changes. Altogether the presented approach provides an important contribution for realizing adaptive access control frameworks.

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Integrating Process Learning and Process Evolution – A Semantics Based Approach

Cited by 82 publications

References 20 publications

Refactoring large process model repositories

Refactoring large process model repositories

Semantic Correctness in Adaptive Process Management Systems

A Formal Framework for Adaptive Access Control Models

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