000060640 001__ 60640
000060640 005__ 20170725081821.0
000060640 0247_ $$2doi$$a10.1145/2945408.2945413
000060640 0248_ $$2sideral$$a98039
000060640 037__ $$aART-2016-98039
000060640 041__ $$aeng
000060640 100__ $$0(orcid)0000-0002-2605-6243$$aBernardi, S.
000060640 245__ $$aA Systematic Approach for Performance Evaluation using Process Mining: The POSIDONIA Operations Case Study
000060640 260__ $$c2016
000060640 5060_ $$aAccess copy available to the general public$$fUnrestricted
000060640 5203_ $$aModelling plays an important role in the development of software applications, in particular for the assessment of non functional requirements such as performance. The value of a model depends on the level of alignment with the reality. In this paper, we propose a systematic approach to get a performance model that is a good representation of the sys- tem under analysis. From an UML-based system design we get automatically a normative Petri net model, which for- mally represents the system supposed behaviour, by applying model-to-model (M2M) transformation techniques. Then, a conformance checking technique is iteratively applied to align -from the qualitative point of view- the normative model and the data log until the required fitness threshold is not reached. Finally, a trace-driven simulation technique is used to enrich the aligned model with timing specification from the data log, then obtaining the performance Generalized Stochas- tic Petri Net (GSPN) model. The proposed approach has been applied to a customizable Integrated Port Operations Management System: POSIDONIA Operations. The perfor- mance model has been used to analyse the scalability of the product considering different deployment configurations.
000060640 536__ $$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$$9info:eu-repo/grantAgreement/ES/MICINN/TIN2014-58457-R
000060640 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000060640 655_4 $$ainfo:eu-repo/semantics/conferenceObject$$vinfo:eu-repo/semantics/acceptedVersion
000060640 700__ $$0(orcid)0000-0001-5111-8357$$aRequeno, J.I.$$uUniversidad de Zaragoza
000060640 700__ $$aJoubert, Ch.
000060640 700__ $$aRomeu, A.
000060640 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDepartamento de Informática e Ingeniería de Sistemas$$cLenguajes y Sistemas Informáticos
000060640 773__ $$g(2016), 24-29$$tQUDOS-2016 [Proceedings of the 2nd International Workshop on Quality-Aware DevOps] ISBN: 978-1-4503-4411-1
000060640 8564_ $$s382565$$uhttps://zaguan.unizar.es/record/60640/files/texto_completo.pdf$$yPostprint
000060640 8564_ $$s120157$$uhttps://zaguan.unizar.es/record/60640/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000060640 909CO $$ooai:zaguan.unizar.es:60640$$particulos$$pdriver
000060640 951__ $$a2017-07-25-08:17:18
000060640 980__ $$aARTICLE