The influence of software design representation on the design communication of teams with diverse personalities
Paper in proceeding, 2022

Software is the main driver of added-value in many of the systems that surround us. While its complexity is increasing, so is the diversity of systems driven by software. To meet the challenges emerging from this combination, it is necessary to mobilize increasingly large and heterogeneous multidisciplinary teams, comprising software experts, as well as experts from various domains related to the systems driven by software. Hence, the quality of communication about software between stakeholders of different domains and with different personalities is becoming a key issue for successfully engineering software-intensive systems. The goal of this study, thus, is to investigate the effect of the representation of software design models on the communication of design decisions between stakeholders with diverse personality traits. As a result, this study finds that graphical representations of software design models are better than textual representations in enhancing the communication and increasing the productivity of stakeholders with diverse personalities.

human aspects

software design

software engineering

communication

personality traits

Author

Rodi Jolak

University of Gothenburg

Maxime Savary-Leblanc

University of Lille

Manuela Dalibor

RWTH Aachen University

Juraj Vincur

Slovak University of Technology Bratislava

Regina Hebig

University of Gothenburg

Xavier Le Pallec

University of Lille

Michel Chaudron

Eindhoven University of Technology

Sébastien Gérard

CEA, Institut LIST

Ivan Polasek

Comenius University in Bratislava

Andreas Wortmann

University of Stuttgart

Proceedings - 25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022

255-265
9781450394666 (ISBN)

25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022
Montreal, Canada,

Subject Categories

Software Engineering

Embedded Systems

Computer Science

DOI

10.1145/3550355.3552398

More information

Latest update

10/27/2023