publications([{
   "lang": "en",
   "publisher": "Lavoisier",
   "doi": "http://dx.doi.org/10.3166/tsi.35.175-202",
   "uri": "http://iihm.imag.fr/publication/MDC16a/",
   "title": "Mastering Model Driven Engineering complexity by interactive visualization",
   "bibtype": "article",
   "journal": "série technique et science informatique",
   "year": 2016,
   "number": 2,
   "pages": "175-202",
   "volume": 35,
   "id": 775,
   "abbr": "MDC16a",
   "authors": {
      "1": {
         "first_name": "Mufida",
         "last_name": "Miratul-Khusna"
      },
      "2": {
         "first_name": "Sophie",
         "last_name": "Dupuy-Chessa"
      },
      "3": {
         "first_name": "Gaëlle",
         "last_name": "Calvary"
      }
   },
   "date": "2016-09-01",
   "booktitle": "Revue des sciences et technologies de l’information",
   "type": "Revues nationales avec comité de lecture",
   "abstract": "Model Driven Engineering (MDE) can play an important role for the design of ap- plications in many domains. Its principles that are separations of concerns, capitalisation of knowledge thanks to models, meta models, and transformations, are well accepted today. Then the approach becomes a good candidate for scaling up to more complex applications. However the use of model driven engineering puts people in front of a new problem, which is mastering the complexity of many and possibly big models. The paper presents MoVi (Model Visualiza- tion) an interactive environment as a proof-of-concept that investigates model exploration by processing models as data. It is illustrated with models taken from the Human Computer Inter- action domain.",
   "type_publi": "revcomlec",
   "document": "http://iihm.imag.fr/publs/2016/TSI-miratul-finale.pdf"
},
{
   "lang": "en",
   "publisher": "ACM",
   "doi": "https://doi.org/10.1145/2783446.2783611",
   "title": "MoVi: Models Visualization for Mastering Complexity in Model Driven Engineering",
   "bibtype": "unpublished",
   "abstract": "Model Driven Engineering (MDE) is a good candidate for scaling up complex systems thanks to the principle of separation of concerns. In HCI, models describe the UI at different levels of abstraction and are matched to each other with a variety of relationships. However, MDE puts HCI designers in front of a new problem which is mastering the complexity of many and possibly huge models. Parallel to this evolution, \"Big Data\" is an important research trend. It brings new perspectives to deal with \"Big Models\". The paper presents MoVi (Model Visualization), an interactive environment that bridges the gap between these two trends by processing models as data.",
   "authors": {
      "1": {
         "first_name": "Mufida",
         "last_name": "Miratul-Khusna"
      },
      "2": {
         "first_name": "Gaëlle",
         "last_name": "Calvary"
      },
      "3": {
         "first_name": "Sophie",
         "last_name": "Dupuy-Chessa"
      },
      "4": {
         "first_name": "Yann",
         "last_name": "Laurillau"
      }
   },
   "year": 2015,
   "uri": "http://iihm.imag.fr/publication/MCD+15a/",
   "pages": "281-282",
   "note": "Late breaking results",
   "id": 729,
   "abbr": "MCD+15a",
   "address": "Lincoln, United Kingdom",
   "date": "2015-06-07",
   "document": "http://iihm.imag.fr/publs/2015/MoVi.pdf",
   "type": "Autres publications",
   "booktitle": "Proceedings of British Human Computer Interaction conference",
   "type_publi": "autre"
}]);