Lifecycle-Based Process Performance Analysis

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

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 Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C and TC, held as part of OTM 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 Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C and TC, held as part of OTM 2018
CountryMalta
CityValletta
Period22/10/1826/10/18

Keywords

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

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