An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models

Diego Torales Avila, Raphael Piegas Cigana, Marcelo Fantinato, Hajo A. Reijers, Jan Mendling, Lucineia Heloisa Thom

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Abstract

    Process modeling guidelines are an essential tool to help process modelers to create models that are correct and easy to understand. Many guidelines have been proposed in the literature, but there is little empirical evidence to which extent guidelines are effectively used. This paper addresses this research gap by presenting the results of a semi-controlled experiment conducted on two occasions with 21 students from a Business Process Management course. Two successive process modeling tasks were compared, one before and one after the subjects were presented to a set of 20 guidelines, which were collected through a systematic literature review. From the results obtained with the experiment, it was observed that the subjects would be more receptive to the guidelines if they were easier to understand and use.
    Original languageEnglish
    Title of host publicationDatabase and Expert Systems Applications
    Subtitle of host publication30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II
    PublisherSpringer
    Pages129-139
    DOIs
    Publication statusPublished - 2019

    Publication series

    NameLecture Notes in Computer Science
    Volume11707

    Keywords

    • Process modeling
    • Process modeling guidelines
    • BPM
    • BPMN
    • Experiment

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