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| Content Provider | ACM Digital Library |
|---|---|
| Author | Tamzalit, Dalila Costa, Mateus Barcellos |
| Abstract | With the wide acceptance of the Imperative Business Process Modeling, supporting this activity has becoming increasingly important. In this sense, the difficulties faced by modelers while mapping business concerns into correct process models is a key issue. This paper presents the idea of Imperative Modeling Recommendation Patterns in order to tackle this issue. Recommendation Patterns aim at supporting modelers to decide between modeling structure options while preserving both process and modeling concerns. By doing so, these patterns enable the achievement of correct modeling solutions without, however, forcing a unique solution. The application of the Recommendation Patterns is discussed in the context of a methodology for Business Process Imperative Modeling support. |
| Starting Page | 735 |
| Ending Page | 742 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450344869 |
| DOI | 10.1145/3019612.3019619 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-04-03 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Business processes Modeling Recommendation methodology |
| Content Type | Text |
| Resource Type | Article |
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