Données de tests non fonctionnels de l'ombre à la lumière : une approche multidimensionnelle pour déployer une base de données

Abstract : Choosing appropriate database management systems (DBMS) and/or execution platforms for given database (DB) is complex and tends to be time- and effort-intensive since this choice has an important impact on the satisfaction of non-functional requirements (e.g., temporal performance or energy consumption). lndeed, a large number of tests have been performed for assessing the quality of developed DB. This assessment often involves metrics associated with non-functional requirement. That leads to a mine of tests covering all life-cycle phases of the DB's design. Tests and their environments are usually published in scientific articles or specific websites such as Transaction Processing Council (TPC). Therefore, this thesis bas taken a special interest to the capitalization and the reutilization of performed tests to reduce and mastery the complexity of the DBMS/platforms selection process. By analyzing the test accurately, we identify that tests concem: the data set, the execution platform, the addressed non-functional requirements, the used queries, etc. Thus, we propose an approach of conceptualization and persistence of all dimensions as well as the results of tests. Conseguently, this thesis leads to the following contributions. (1) The design model based on descriptive, prescriptive and ontological concepts to raise the different dimensions. (2) The development of a multidimensional repository to store the test environments and their results. (3) The development of a decision making methodology based on a recommender system for DBMS and platforms selection.
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Lahcene Brahimi. Données de tests non fonctionnels de l'ombre à la lumière : une approche multidimensionnelle pour déployer une base de données. Ordinateur et société [cs.CY]. ISAE-ENSMA Ecole Nationale Supérieure de Mécanique et d'Aérotechique - Poitiers, 2017. Français. ⟨NNT : 2017ESMA0009⟩. ⟨tel-01585828⟩

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