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Conference Papers Year : 2018

Characterizing a Source Code Model with Energy Measurements


Energy consumption is a critical point when developing applications. Either for battery-saving purposes, for lowering the cost of data-centers, or simply for the sake of having an eco-friendly program, reducing the energy needed to run a software becomes mandatory. Model-Driven Engineering has shown great results when it comes to program understanding and refactoring. Modeling the source code along with its energy consumption could be a powerful asset to programmers in order to develop greener code. For that purpose, this paper presents an approach for modeling energy consumption inside a source code model. Energy metrics are gathered at runtime, modeled using the standard Structured Metrics Meta-model, and associated to the source code model, enabling model-driven techniques for energy analysis and optimizations.
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hal-01952724 , version 1 (12-12-2018)


  • HAL Id : hal-01952724 , version 1


Thibault Béziers La Fosse, Jean-Marie Mottu, Massimo Tisi, Gerson Sunyé. Characterizing a Source Code Model with Energy Measurements. Workshop on Measurement and Metrics for Green and Sustainable Software Systems (MeGSuS), Oct 2018, Oulu, Finland. ⟨hal-01952724⟩
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