Automatized integration of a contextual model into a process with data variability

Jacques Simonin 1, 2 John Puentes 1, 3
1 Lab-STICC_IMTA_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Existent process models can hardly cope with the emerging issue of modelling exponential variable data volumes in systems' workflow, from specifications to operation. Given the strong relation between data context and data variability, this paper considers the automated integration of contextual models for processes with data variability. The proposed approach extends methodologically a platform independent model process, using a contextual data model, to obtain automatically the corresponding platform specific model. Contextual data are thus integrated to a process as a model, within a process. Two particular cases of contextual data models are studied in detail: substitution, when the contextual data model defines generated code, and enhancement, when learned data descriptions constitute the contextual data model. The feasibility and value of integrating a contextual model into a process to handle data variability are shown in detail describing these two use cases. Contextual model integration by substitution to include automatically variable ready to use application services to generate code, and contextual model integration by enhancement applied to supervised image classification based on variable descriptors. Results show that relating data variability and its context by means of automated integration of a designed system component model, simplifies variable data processing of system process models.
Type de document :
Article dans une revue
Computer Languages, Systems & Structures, 2018, 54, pp.156 - 182. 〈10.1016/j.cl.2018.06.002〉
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https://hal.archives-ouvertes.fr/hal-01836388
Contributeur : Bibliothèque Télécom Bretagne <>
Soumis le : jeudi 12 juillet 2018 - 12:03:01
Dernière modification le : mardi 9 octobre 2018 - 16:04:01

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Jacques Simonin, John Puentes. Automatized integration of a contextual model into a process with data variability. Computer Languages, Systems & Structures, 2018, 54, pp.156 - 182. 〈10.1016/j.cl.2018.06.002〉. 〈hal-01836388〉

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