Monitoring of Non-functional Requirements of Business Processes based Tn Quality of Service Attributes of Web Services

Evando S. Borges, Marcelo Fantinato, Ünal Aksu, Hajo A. Reijers, Lucinéia H. Thom

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    Business monitoring approaches usually address indicators associated with processes only at the service level; i.e., related to the services implementing the processes. Monitoring at the service level raises technical measures geared to Information Technology (IT) managers. Monitoring of Key Performance Indicators (KPIs) is usually carried out at a higher level, but transversely to the organization’s processes, i.e., uncoupled from the processes. We present a component designed to aid in strategic alignment between business and IT by monitoring Non-Functional Requirements (NFR) of processes based on Quality of Service attributes. This component aims to allow business managers to monitor process executions by focusing on the indicators that truly respond to the execution of such processes. We evaluated the component via a proof of concept.

    Original languageEnglish
    Title of host publicationICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems
    EditorsSlimane Hammoudi, Michal Smialek, Alexander Brodsky, Joaquim Filipe
    PublisherSciTePress
    Pages588-595
    Number of pages8
    Volume2
    ISBN (Electronic)9789897583728
    DOIs
    Publication statusPublished - 3 May 2019
    Event21st International Conference on Enterprise Information Systems, ICEIS 2019 - Heraklion, Crete, Greece
    Duration: 3 May 20195 May 2019

    Conference

    Conference21st International Conference on Enterprise Information Systems, ICEIS 2019
    Country/TerritoryGreece
    CityHeraklion, Crete
    Period3/05/195/05/19

    Keywords

    • Business Level Agreement
    • Business Processes
    • Monitoring
    • Quality of Service
    • Service Level Agreement

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