BigDataFr recommends: Raising Time Awareness in Model-Driven Engineering Vision Paper
Abstract
[…] The conviction that big data analytics is a key for the success of modern businesses is growing deeper, and the mo-bilisation of companies into adopting it becomes increasingly important. Big data integration projects enable companies to capture their relevant data, to efficiently store it, turn it into domain knowledge, and finally monetize it. In this context, historical data, also called temporal data, is becoming increasingly available and delivers means to analyse the history of applications, discover temporal patterns, and predict future trends. Despite the fact that most data that today’s applications are dealing with is inherently temporal current approaches, methodologies, and environments for developing these applications don’t provide sufficient support for handling time. […]
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By Amine Benelallam1 Thomas Hartmann2 Ludovic Mouline2, Francois Fouquet2, Johann Bourcier1, Olivier Barais3, 1, Yves Le Traon2,
Source: hal-archives-ouvertes.fr
1 IRISA – Institut de Recherche en Informatique et Systèmes Aléatoires
2 S’nT – Security, Reliability and Trust Interdisciplibary Research Centre
3 IRT b-com – Institut de Recherche Technologique b-com