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An approach to measuring software systems using new combined metrics of complex test

Sarah Dahab 1, 2
1 METHODES-SAMOVAR - Méthodes et modèles pour les réseaux
SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
Abstract : Most of the measurable software quality metrics are currently based on low level metrics, such as cyclomatic complexity, number of comment lines or number of duplicated blocks. Likewise, quality of software engineering is more related to technical or management factoid, and should provide useful metrics for quality requirements. Currently the assessment of these quality requirements is not automated, not empirically validated in real contexts, and the assessment is defined without considering principles of measurement theory. Therefore it is difficult to understand where and how to improve the software following the obtained result. In this domain, the main challenges are to define adequate and useful metrics for quality requirements, software design documents and other software artifacts, including testing activities.The main scientific problematic that are tackled in this proposed thesis are the following : defining metrics and its supporting tools for measuring modern software engineering activities with respect to efficiency and quality. The second consists in analyzing measurement results for identifying what and how to improve automatically. The last one consists in the measurement process automation in order to reduce the development time. Such highly automated and easy to deploy solution will be a breakthrough solution, as current tools do not support it except for very limited scope.
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Submitted on : Thursday, November 21, 2019 - 4:22:39 PM
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Sarah Dahab. An approach to measuring software systems using new combined metrics of complex test. Networking and Internet Architecture [cs.NI]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLL015⟩. ⟨tel-02374756⟩

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