69759 20200513005820.0 doi 10.1007/s10664-018-9606-9 sideral 105273 ART-2018-105273 eng (orcid)0000-0002-2605-6243 Bernardi, Simona Universidad de Zaragoza A systematic approach for performance assessment using process mining. An industrial experience report 2018 Access copy available to the general public Unrestricted Software performance engineering is a mature field that offers methods to assess system performance. Process mining is a promising research field applied to gain insight on system processes. The interplay of these two fields opens promising applications in the industry. In this work, we report our experience applying a methodology, based on process mining techniques, for the performance assessment of a commercial data-intensive software application. The methodology has successfully assessed the scalability of future versions of this system. Moreover, it has identified bottlenecks components and replication needs for fulfilling business rules. The system, an integrated port operations management system, has been developed by Prodevelop, a medium-sized software enterprise with high expertise in geospatial technologies. The performance assessment has been carried out by a team composed by practitioners and researchers. Finally, the paper offers a deep discussion on the lessons learned during the experience, that will be useful for practitioners to adopt the methodology and for researcher to find new routes. info:eu-repo/grantAgreement/ES/MINECO/TIN2014-58457-R 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/EC/H2020/644869/EU/Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements/DICE info:eu-repo/grantAgreement/ES/DGA/T94 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.457 2018 COMPUTER SCIENCE, SOFTWARE ENGINEERING 8 / 107 = 0.075 2018 Q1 T1 0.62 2018 Software 2018 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/submittedVersion Domínguez, J. Gómez, A. Joubert, C. (orcid)0000-0002-8917-6584 Merseguer, José Universidad de Zaragoza Perez-Palacín, D. (orcid)0000-0001-5111-8357 Requeno, J. Universidad de Zaragoza Romeu, A. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 23 (2018), 3394 – 3441 Empir. Softw. Eng. EMPIRICAL SOFTWARE ENGINEERING 1382-3256 1865606 http://zaguan.unizar.es/record/69759/files/texto_completo.pdf Preprint 57310 http://zaguan.unizar.es/record/69759/files/texto_completo.jpg?subformat=icon icon Preprint oai:zaguan.unizar.es:69759 articulos driver 2020-05-13-00:49:08 ARTICLE