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A systematic approach for performance assessment using process mining: An industrial experience report
University of Zaragoza, Spain.
Prodevelop SL, Spain.
Universitat Oberta de Catalunya, Spain.
Prodevelop SL, Spain.
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2018 (English)In: Journal of Empirical Software Engineering, ISSN 1382-3256, E-ISSN 1573-7616, Vol. 23, no 6, p. 3394-3441Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2018. Vol. 23, no 6, p. 3394-3441
Keywords [en]
Software performance, Process mining, Unified modeling language, Complex event processing, Stochastic petri net
National Category
Computer Sciences
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-74460DOI: 10.1007/s10664-018-9606-9ISI: 000451593200009Scopus ID: 2-s2.0-85044196222OAI: oai:DiVA.org:lnu-74460DiVA, id: diva2:1209237
Projects
H2020 DICE, Grant Agreement No. 644869CyCriSec-TIN2014-58457-R
Funder
EU, Horizon 2020, 644869Available from: 2018-05-22 Created: 2018-05-22 Last updated: 2019-08-29Bibliographically approved

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Perez-Palacin, Diego

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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