On Representing, Purging, and Utilizing Change Logs in Process Management Systems

Rinderle, Stefanie; Reichert, Manfred; Jurisch, Martin; Kreher, Ulrich

doi:10.1007/11841760_17

Cited by 53 publications

(19 citation statements)

References 13 publications

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“…Traceability and Analysis of Changes (Change Feature F4). For adaptation patterns, applied changes have to be stored in a change log as change patterns or primitives [55]. Regarding patterns for changes in predefined regions, an execution log is usually sufficient to enable traceability (Design Choice F4 [1]).…”

Section: Other Change Support Featuresmentioning

confidence: 99%

Change patterns and change support features – Enhancing flexibility in process-aware information systems

Weber

Reichert

Rinderle-Ma

2008

Data & Knowledge Engineering

Self Cite

491

408

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Companies increasingly adopt process-aware information systems (PAISs), which offer promising perspectives for more flexible enterprise computing. The emergence of different process support paradigms and the lack of methods for comparing existing approaches enabling PAIS changes have made the selection of adequate process management technology difficult. This paper suggests a set of 18 change patterns and 7 change support features to foster the systematic comparison of existing process management technology in respect to process change support. While the proposed patterns are all based on empirical evidence from several large case studies, the suggested change support features constitute typical functionalities provided by flexible PAISs. Based on the proposed change patterns and features, we provide a detailed analysis and evaluation of selected approaches from both academia and industry. The presented work will not only facilitate the selection of technologies for realizing flexible PAISs, but can also be used as a reference for implementing flexible PAISs.

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Section: Other Change Support Featuresmentioning

confidence: 99%

Change patterns and change support features – Enhancing flexibility in process-aware information systems

Weber

Reichert

Rinderle-Ma

2008

Data & Knowledge Engineering

Self Cite

491

408

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“…This section describes refactoring techniques, which become applicable when process models are executed by PAISs and historic data on process instances is available in execution or change logs [85,66]. These logs can be analyzed and mined to discover potential refactoring options.…”

Section: Refactorings For Model Evolutionmentioning

confidence: 99%

Refactoring large process model repositories

Weber

Reichert

Mendling

et al. 2011

Computers in Industry

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187

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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“…In AristaFlow, schema evolution is based on the same adaptation patterns as used for process modeling and ad-hoc changes [5]. Thereby, pattern semantics is utilized to cope with conflicting changes at the type and instance level, to increase the number of migratable process instances, and to efficiently represent applied changes [19][20][21]. Note that similar concepts exist for evolving service compositions [22].…”

Section: Supporting Process Changes Along the Process Life Cyclementioning

confidence: 99%