In order to identify the existence of an ontology of dependability, we conducted a bibliographic review. However, we encountered a real problem while researching and selecting articles that address this issue. Indeed the research process in various scientific databases with standard techniques involve the application of a number of manual and duplicative steps. This makes it a fairly costly and faulty process. To surmount these challenges, we offer a solution that automates search and selection items. The proposed solution is essentially derived from the popular method called systematic mapping. In this article, we suggest a Web Service as an implementation of our proposed approach. This Web Service will allow users to query scientific databases to obtain the metadata of selected articles. Our proposal will make the selection of scientific articles easier and faster.
Data warehouse systems have several dependability aspects, which crosscut the whole system modules. That might cause difficulties while designing, reusing or maintaining the systems; therefore it may affect its performance. Aspect Oriented Method is a software development paradigm which supports an horizontal separation of concerns by providing mechanisms for encapsulating cross-cutting features using the aspects. In our Aspect Oriented Modeling (AOM) method, dependability attributes are modeled as aspects in Model Driven Architecture (MDA) approach then are composed with the functional model to form complete Data warehouse system. Concretely, we refine the Platform Independent Model (PIM) of aspects to Platform Specific Model (PSM). Then we weave it with the functional PSM of each Data Warehouse system layer in order to obtain an integral PSM.
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