Lifecycle-Based Process Performance Analysis

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    4 Citations (Scopus)

    Abstract

    Many business processes are supported by information systems that record their execution. Process mining techniques extract knowledge and insights from such process execution data typically stored in event logs or streams. Most process mining techniques focus on process discovery (the automated extraction of process models) and conformance checking (aligning observed and modeled behavior). Existing process performance analysis techniques typically rely on ad-hoc definitions of performance. This paper introduces a novel comprehensive approach to process performance analysis from event data. Our generic technique centers around business artifacts, key conceptual entities that behave according to state-based transactional lifecycle models. We present a formalization of these concepts as well as a structural approach to calculate and monitor process performance from event data. The approach has been implemented in the open source process mining tool ProM and its applicability has been evaluated using public real-life event data.

    Original languageEnglish
    Title of host publicationOn the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences
    Subtitle of host publicationCoopIS, C and TC, and ODBASE 2018, Proceedings
    EditorsHenderik A. Proper, Robert Meersman, Claudio Agostino Ardagna, Hervé Panetto, Christophe Debruyne, Dumitru Roman
    Place of PublicationCham
    PublisherSpringer
    Pages336-353
    Number of pages18
    ISBN (Electronic)978-3-030-02610-3
    ISBN (Print)978-3-030-02609-7
    DOIs
    Publication statusPublished - 22 Oct 2018
    EventConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2018 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2018 - Valletta, Malta
    Duration: 22 Oct 201826 Oct 2018

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11229 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2018 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2018
    Country/TerritoryMalta
    CityValletta
    Period22/10/1826/10/18

    Keywords

    • Business artifacts
    • Performance analysis
    • Process mining
    • Transactional lifecycle models

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