@misc{10336/28534,
author = {Wang, Weikun},
author = {Pérez, Juan F.},
author = {Casale, Giuliano},
year = {2015},
month = {9},
url = {https://repository.urosario.edu.co/handle/10336/28534},
abstract = {Software 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.},
booktitle = {QUDOS 2015: Proceedings of the 1st International Workshop on Quality-Aware DevOps},
booktitle = {ESEC/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},
title = {Filling the gap: a tool to automate parameter estimation for software performance models},
publisher = {Association for Computing Machinery},
keywords = {Software performance engineering},
keywords = {Quality of service},
doi = {https://doi.org/10.1145/2804371.2804379},
}