000063091 001__ 63091
000063091 005__ 20171107135358.0
000063091 0247_ $$2doi$$a10.1145/2945408.2945413a
000063091 037__ $$aCOMPON-2017-0129
000063091 041__ $$aeng
000063091 100__ $$00000-0002-2605-6243$$aBernardi, Simona$$uCentro Universitario de la Defensa, España
000063091 245__ $$aA systematic approach for performance evaluation using process mining: the POSIDONIA Operations case study
000063091 260__ $$c2016
000063091 506__ $$aAccess copy available to the general public$$fUnrestricted
000063091 5203_ $$aModelling plays an important role in the development of software applications, in particular for the assessment of non-functional re- quirements such as performance. The value of a model depends on the level of alignment with the reality. In this paper, we propose a systematic approach to get a per- formance model that is a good representation of the system under analysis. From an UML-based system design we get automatically a normative Petri net model, which formally represents the system supposed behavior, by applying model-to-model (M2M) transfor- mation techniques. Then, a conformance checking technique is iteratively applied to align -from the qualitative point of view- the normative model and the data log until the required fitness threshold is not reached. Finally, a trace-driven simulation technique is used to enrich the aligned model with timing specification from the data log, then obtaining the performance Generalized Stochastic Petri Net (GSPN) model. The proposed approach has been applied to a customizable Inte- grated Port Operations Management System, POSIDONIA Opera- tions, where the performance model has been used to analyze the scalability of the product considering different deployment config- urations.
000063091 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T27$$9info:eu-repo/grantAgreement/EUR/H2020/DICE-644869$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 DICE-644869$$9info:eu-repo/grantAgreement/ES/MICINN/TIN2014-58457-R
000063091 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000063091 6531_ $$aModel-driven transformation; process mining; trace and log analysis; performance; Generalized Stochastic Petri Nets (GSPN); Unified Modeling Language (UML); data-intensive application 
000063091 655_4 $$aComunicación
000063091 700__ $$00000-0001-5111-8357$$aRequeno Jarabo, José Ignacio$$uUniversidad de Zaragoza, España
000063091 700__ $$aJoubert, Christophe
000063091 700__ $$aRomeu, Alberto
000063091 773__ $$dSaarbrücken, Germany$$g(2016), 24-29$$tQUDOS-2016. Proceedings of the 2nd International Workshop on Quality-Aware DevOps
000063091 8564_ $$s382565$$uhttps://zaguan.unizar.es/record/63091/files/requeno_2.pdf
000063091 909CO $$ooai:zaguan.unizar.es:63091$$pcomunicaciones-ponencias
000063091 980__ $$aCOMPON