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SEMA: An Approach Based on Internal Measurement to Evaluate Energy Efficiency of Android Applications.

, , and . SBESC, page 48-53. IEEE Computer Society, (2015)

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Efficiency Evaluation of Strategies for Dynamic Management of Wireless Sensor Networks., , and . Wirel. Commun. Mob. Comput., (2017)Towards Estimating Physical Properties of Embedded Systems using Software Quality Metrics., , , , and . CIT, page 2381-2386. IEEE Computer Society, (2010)Mobile Nodes as a Dynamic Management Strategy to Improve Coverage in Wireless Sensor Networks., , and . SBESC, page 180-185. IEEE Computer Society, (2016)Integrating UML, MARTE and sysml to improve requirements specification and traceability in the embedded domain., , and . INDIN, page 176-181. IEEE, (2014)Eboracum: An extensible framework for high-level modeling and evaluation of reactive and adaptable WSNs., , , and . ETFA, page 1-8. IEEE, (2016)Automating mobile application development: UML-based code generation for Android and Windows Phone., , and . RITA, 22 (2): 31-50 (2015)A Model Driven Approach for Android Applications Development., and . SBESC, page 192-197. IEEE Computer Society, (2012)Application modeling for performance evaluation on event-triggered wireless sensor networks., , and . Des. Autom. Embed. Syst., 20 (4): 269-287 (2016)Uma Abordagem para Engenharia de Requisitos no Domínio de Software Embarcado., , and . CIbSE, page 299-304. Curran Associates, (2013)UAVs as Data Collectors in the WSNs: Investigating the Effects of Back-and-Forth and Spiral Coverage Paths in the Network Lifetime., , and . SBESC, page 1-8. IEEE, (2020)