Exploring the Understandability of a Hybrid Process Design Artifact Based on DCR Graphs

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Dokumenter

Process design artifacts (e.g., process models, textual process descriptions and simulations) are increasingly used to provide input for requirements elicitation and to facilitate the design of business processes. To support the understandability of process models and make them accessible for end-users with different backgrounds, several hybrid representations combining different design artifacts have been proposed in the literature. This paper investigates the understandability of DCR-HR, a new hybrid process design artifact based on DCR graphs. Using eye-tracking and think-aloud techniques, this paper explores the benefits and challenges associated with the use of different design artifacts and investigates the way end-users engage with them. The results motivate the use of DCR-HR and provide insights about the support it provides to end-users with different backgrounds.

OriginalsprogEngelsk
TitelEnterprise, Business-Process and Information Systems Modeling - 20th International Conference, BPMDS 2019, 24th International Conference, EMMSAD 2019, Held at CAiSE 2019, Proceedings
RedaktørerJens Gulden, Iris Reinhartz-Berger, Jelena Zdravkovic, Rainer Schmidt
ForlagSpringer
Publikationsdato2019
Sider69-84
ISBN (Trykt)9783030206178
DOI
StatusUdgivet - 2019
Begivenhed20th International Conference on Business Process Modeling, Development and Support, BPMDS 2019 and 24th International Conference on Evaluation and Modeling Methods for Systems Analysis and Development, EMMSAD 2019 - Rome, Italien
Varighed: 3 jun. 20194 jun. 2019

Konference

Konference20th International Conference on Business Process Modeling, Development and Support, BPMDS 2019 and 24th International Conference on Evaluation and Modeling Methods for Systems Analysis and Development, EMMSAD 2019
LandItalien
ByRome
Periode03/06/201904/06/2019
NavnLecture Notes in Business Information Processing
Vol/bind352
ISSN1865-1348

Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk


Ingen data tilgængelig

ID: 227336805