Position paper: Knowledge sharing and distances in collaborative modeling
Paper in proceedings, 2019

To develop systems effectively, a shared system understanding is required. Collaborative modeling is one way to capture this shared understanding. Increasingly, in large systems engineering projects different distances lead to social barriers between stakeholders. These barriers affect the quantity and quality of knowledge that is shared between stakeholders, thus reducing the quality of the resulting product. While it has been proposed to limit modeling activities to co-located teams, this might not always be possible or feasible. We argue that, despite the technological advances in collaborative modeling, effective collaboration can only be achieved if we understand how to account for social barriers. We propose to study, in depth, how these barriers affect modeling, and how their effects can be reduced. By understanding the effects of social barriers and accounting for them, we can maximize the benefits of collaborative modeling. © 2019 IEEE

Human Factors

Distance

Psychological Factors

Knowledge Sharing

Collaborative Modeling

Social Factors

Author

Rodi Jolak

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for Cyber Physical Systems

Grischa Liebel

Reykjavik University

Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019

415-416 8904686

22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019
Munich, Germany,

Subject Categories

Other Computer and Information Science

Information Science

Information Systemes, Social aspects

DOI

10.1109/MODELS-C.2019.00065

More information

Latest update

5/6/2020 6