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dc.contributor.authorHorcas, Jose Miguel
dc.contributor.authorPinto, Mónica
dc.contributor.authorFuentes, Lidia
dc.contributor.authorGámez, Nádia
dc.date2017
dc.date.accessioned2020-09-02T11:21:16Z
dc.date.available2020-09-02T11:21:16Z
dc.identifier.isbn9781538619551
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10482
dc.descriptionPonencia en la conferencia "Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017 Volume 2018-January, 29 March 2018, Pages 828-835 15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017; Orlando; United States; 6 November 2017 through 11 November 2017"es_ES
dc.description.abstractSoftware systems have a strong impact on the energy consumption of the hardware they use. For this reason, software developers should be more aware of the energy consumed by their systems. Moreover, software systems should be developed to be able to adapt their behavior to minimize the energy consumed during their execution. This paper illustrates how to address the problem of developing self-adaptive energy-efficient applications using the HADAS approach. HADAS makes use of advanced software engineering methods, such as Dynamic Software Product Lines and Aspect-Oriented Software Development. The main steps of the HADAS approach, both during the design of the application and also at runtime are illustrated by applying them to a running case study.es_ES
dc.language.isoenges_ES
dc.publisher2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technologyes_ES
dc.relation.urihttps://ieeexplore.ieee.org/document/8328484/authors#authorses_ES
dc.rightsopenAccesses_ES
dc.subjectaspect-oriented software developmentes_ES
dc.subjectdynamic software product lineses_ES
dc.subjectenergy-efficient applicationses_ES
dc.subjectHADASes_ES
dc.subjectself-adaptationes_ES
dc.subjectScopus(2)es_ES
dc.subjectWOS(2)es_ES
dc.titleSelf-adaptive energy-efficent applications: The HADAS developing approaches_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.140


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