The influence of software design representation on the design communication of teams with diverse personalities
Paper i 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
personality traits
communication
Författare
Rodi Jolak
Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering
Göteborgs universitet
Maxime Savary-Leblanc
Université de Lille
Manuela Dalibor
RWTH Aachen University
Juraj Vincur
Slovak University of Technology Bratislava
Regina Hebig
Göteborgs universitet
Software Engineering 1
Xavier Le Pallec
Université de Lille
Michel Chaudron
Technische Universiteit Eindhoven
Sébastien Gérard
CEA, Institut LIST
Ivan Polasek
Univerzita Komenskeho v Bratislave
Andreas Wortmann
Universität 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,
Montreal, Canada,
Ämneskategorier (SSIF 2011)
Programvaruteknik
Inbäddad systemteknik
Datavetenskap (datalogi)
DOI
10.1145/3550355.3552398