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dc.creatorWang, Weikun 
dc.creatorPérez, Juan F. 
dc.creatorCasale, Giuliano
dc.identifier.issnISBN: 978-1-4503-3817-2
dc.description.abstractSoftware performance engineering heavily relies on application and resource models that enable the prediction of Quality-of-Service metrics. Critical to these models is the accuracy of their parameters, the value of which can change with the application and the resources where it is deployed. In this paper we introduce the Filling-the-gap (FG) tool, which automates the parameter estimation of application performance models. This tool implements a set of statistical routines to estimate the parameters of performance models, which are automatically executed using monitoring information kept in a local database.
dc.relation.ispartofQUDOS 2015: Proceedings of the 1st International Workshop on Quality-Aware DevOps
dc.relation.ispartofESEC/FSE'15: Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering Bergamo Italy, ISBN: 978-1-4503-3817-2 (September, 2015); pp. 31-32
dc.sourceQUDOS 2015: Proceedings of the 1st International Workshop on Quality-Aware DevOps
dc.titleFilling the gap: a tool to automate parameter estimation for software performance models
dc.publisherAssociation for Computing Machinery
dc.subject.keywordSoftware performance engineering
dc.subject.keywordQuality of service
dc.type.spaParte de libro
dc.rights.accesoRestringido (Acceso a grupos específicos)
dc.title.TranslatedTitleLlenar el vacío: una herramienta para automatizar la estimación de parámetros para modelos de rendimiento de software
dc.relation.citationTitleQUDOS 2015: Proceedings of the 1st International Workshop on Quality-Aware DevOps
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR

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