Daniel Debastiani

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Android best practices for performance are small code changes proposed by Google to reduce execution time. This paper evaluates and analyzes the impact of two of these best practices on performance and energy consumption. The practices are applied to the code of an Android application and the code efficiency is analyzed. The practices indicate a positive(More)
This paper presents an analysis of embedded applications based on Android Platform. Analyzing performance and energy consumption from different algorithmic versions this work tries to find a performance and energy pattern for the paradigm used in each used algorithm. Thus, the developer can select the best algorithm version for each application based on the(More)
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