The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model

Amine Abbad Andaloussi (), Pnina Soffer, Tijs Slaats, Andrea Burattin and Barbara Weber
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Amine Abbad Andaloussi: Technical University of Denmark
Pnina Soffer: University of Haifa
Tijs Slaats: University of Copenhagen
Andrea Burattin: Technical University of Denmark
Barbara Weber: University of St. Gallen

A chapter in Information Systems and Neuroscience, 2020, pp 133-144 from Springer

Abstract: Abstract Process models provide a blueprint for process execution and an indispensable tool for process management. Bearing in mind their trending use for requirement elicitation, communication and improvement of business processes, the need for understandable process models becomes a must. In this paper, we propose a research model to investigate the impact of modularization on the understandability of declarative process models. We design a controlled experiment supported by eye-tracking, electroencephalography (EEG) and galvanic skin response (GSR) to appraise the understandability of hierarchical process models through measures such as comprehension accuracy, response time, attention, cognitive load and cognitive integration.

Keywords: Modularization; Understandability; Declarative process models; DCR graphs; Neurophysiological experiment (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-60073-0_15

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DOI: 10.1007/978-3-030-60073-0_15

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