Advanced Information Systems Engineering: 22nd International by Stefano Ceri, Marco Brambilla (auth.), Barbara Pernici

Advanced Information Systems Engineering: 22nd International by Stefano Ceri, Marco Brambilla (auth.), Barbara Pernici

By Stefano Ceri, Marco Brambilla (auth.), Barbara Pernici (eds.)

This publication constitutes the lawsuits of the twenty second overseas convention on complicated info structures Engineering, CAiSE 2010, held im Hammamet, Tunisia, in June 2010. The 39 papers awarded have been rigorously reviewed and chosen from 299 submissions. the subjects coated are company technique modeling, info platforms caliber, carrier modelling, protection administration, matching and mining, case reports and studies, conceptual modelling, edition, standards, and strategy research. furthermore this quantity includes keynote papers and the summary of a panel dialogue.

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Extra resources for Advanced Information Systems Engineering: 22nd International Conference, CAiSE 2010, Hammamet, Tunisia, June 7-9, 2010. Proceedings

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Ly, S. Rinderle-Ma, and P. 1 Pattern-Based Validation We collected recurring compliance rule patterns from literature and modeled them using the SeaFlows compliance rule formalism. Many pattern-based approaches [14,15,13] base their patterns on patterns collected by Dwyer and Corbett [16]. Simple (particularly binary) patterns, such as global scope presence, global scope absence, after scope absence, before scope absence, response, and precedence can be modeled similarly to some of the compliance rules from Fig.

Step 1: Collect activities (as-is) or brainstorm for them (to-be) (similar to the conventional method). Each team of two participants enters into the model editor an activity box for each activity labeled with the name of the activity using the usual form verb + noun. g. in terms of a rough upper limit for the number of activities). e. they make a proposal. The facilitator checks that all teams have made their proposals (factor degree of participation). Step 2: Score the activity model (factor competition).

Thus, we define an ordered execution trace σ over a process model P as follows: σP := with ei ∈ {Start(activity, node, timestamp), End(activity, node, timestamp)} where – activity denotes the activity event ei is associated with – node denotes the process node an activity is associated with – timestamp represents an abstract timestamp For our formal interpretation of compliance rules, we need the activity-oriented view σP of event-based execution traces σP . σP represents the ordered activity executions in σP : σP :=

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