117625 20240319081007.0 doi 10.1007/s10515-022-00335-z sideral 129173 ART-2022-129173 eng Bernardi, S. Universidad de Zaragoza (orcid)0000-0002-2605-6243 DICE simulation: a tool for software performance assessment at the design stage 2022 Access copy available to the general public Unrestricted In recent years, we have seen many performance fiascos in the deployment of new systems, such as the US health insurance web. This paper describes the functionality and architecture, as well as success stories, of a tool that helps address these types of issues. The tool allows assessing software designs regarding quality, in particular performance and reliability. Starting from a UML design with quality annotations, the tool applies model-transformation techniques to yield analyzable models. Such models are then leveraged by the tool to compute quality metrics. Finally, quality results, over the design, are presented to the engineer, in terms of the problem domain. Hence, the tool is an asset for the software engineer to evaluate system quality through software designs. While leveraging the Eclipse platform, the tool uses UML and the MARTE, DAM and DICE profiles for the system design and the quality modeling. © 2022, The Author(s). info:eu-repo/grantAgreement/EC/H2020/644869/EU/Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements/DICE This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 644869-DICE info:eu-repo/grantAgreement/ES/MICINN/PID2020-113969RB-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.4 2022 COMPUTER SCIENCE, SOFTWARE ENGINEERING 38 / 108 = 0.352 2022 Q2 T2 0.816 2022 Software 2022 Q2 3.3 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Gómez, A. Merseguer, J. Universidad de Zaragoza (orcid)0000-0002-8917-6584 Perez-Palacin, D. Requeno, J. I. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 29, 1 (2022), - [36 pp] Automated Software Engineering Automated Software Engineering 0928-8910 3156436 http://zaguan.unizar.es/record/117625/files/texto_completo.pdf Versión publicada 1073765 http://zaguan.unizar.es/record/117625/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:117625 articulos driver 2024-03-18-14:42:25 ARTICLE