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Communication Dans Un Congrès Année : 2016

A learning based approach for green software measurements

Résumé

Measuring specific software quality requirements in a continuous way and at runtime all along the development processes is crucial. Moreover, considering principles of measurement theory, it is still very complex to integrate green metrics in a common standardized and autonomous framework. In our approach, we propose an automated solution based on continuous analysis of SW green measurements, using at runtime a machine learning algorithm. The method allows to suggest and aid in the decision of the use of new or updated green metrics during the software measurement processes. Experiments are performed on the greentrace datasets
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Dates et versions

hal-01387475 , version 1 (25-10-2016)

Identifiants

  • HAL Id : hal-01387475 , version 1

Citer

Sarah Dahab, Stephane Maag, Alessandra Bagnato, Marcos Aurelio Almeida da Silva. A learning based approach for green software measurements. MEGSUS 2016 : 3rd International Workshop on Measurement and Metrics for Green and Sustainable Software Systems, Sep 2016, Ciudad Real, Spain. pp.13 - 22. ⟨hal-01387475⟩
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