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

被引：5

作者：

Andaloussi, Amine Abbad ^{[1
]}

Soffer, Pnina ^{[2
]}

Slaats, Tijs ^{[3
]}

Burattin, Andrea ^{[1
]}

Weber, Barbara ^{[4
]}

机构：

[1] Tech Univ Denmark, Software & Proc Engn, DK-2800 Lyngby, Denmark

[2] Univ Haifa, Dept Informat Syst, IL-3498838 Haifa, Israel

[3] Univ Copenhagen, Dept Comp Sci, DK-2100 Copenhagen, Denmark

[4] Univ St Gallen, Inst Comp Sci, CH-9000 St Gallen, Switzerland

来源：

INFORMATION SYSTEMS AND NEUROSCIENCE, NEUROIS RETREAT 2020 | 2020年 / 43卷

关键词：

Modularization; Understandability; Declarative process models; DCR graphs; Neurophysiological experiment; COGNITIVE FIT; COMPLEXITY;

D O I：

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

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

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.

引用

页码：133 / 144

页数：12

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