| Title |
Business Process Configuration According to Data Dependency Specification |
| Authors |
PARODY NÚÑEZ, MARÍA LUISA, Teresa Gomez-Lopez, Maria , Jesus Varela-Vaca, Angel , Gasca, Rafael M. |
| External publication |
No |
| Means |
Appl. Sci.-Basel |
| Scope |
Article |
| Nature |
Científica |
| JCR Quartile |
2 |
| SJR Quartile |
1 |
| JCR Impact |
2.21700 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055343269&doi=10.3390%2fapp8102008&partnerID=40&md5=cabd620939a9e921c7124a772941b81b |
| Publication date |
01/10/2018 |
| ISI |
000448653700303 |
| Scopus Id |
2-s2.0-85055343269 |
| DOI |
10.3390/app8102008 |
| Abstract |
Configuration techniques have been used in several fields, such as the\n design of business process models. Sometimes these models depend on the\n data dependencies, being easier to describe what has to be done instead\n of how. Configuration models enable to use a declarative representation\n of business processes, deciding the most appropriate work-flow in each\n case. Unfortunately, data dependencies among the activities and how they\n can affect the correct execution of the process, has been overlooked in\n the declarative specifications and configurable systems found in the\n literature. In order to find the best process configuration for\n optimizing the execution time of processes according to data\n dependencies, we propose the use of Constraint Programming paradigm with\n the aim of obtaining an adaptable imperative model in function of the\n data dependencies of the activities described declarative. |
| Keywords |
business process modelling; declarative model; imperative model; model configuration; constraint programming |
| Universidad Loyola members |
|
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