Paper Info
Title
Insights collaboration space: a team collaboration app for the design of data-driven services
Abstract
Next to technical expertise, the ability to effectively communicate and collaborate with a large number of different stakeholders with varying technical backgrounds has always been one of the vital skills of good software architects. So far, software architects have had to mainly interact with domain experts, UX designers, managers, testers, operators, and developers, with developers being one of the most important stakeholder groups for them. In the future, we believe, there will be a new group of stakeholders equally important to developers: data scientists. So the ability to effectively communicate and collaborate with data scientists will become a paramount skill of software architects. Data-driven services will be a large driver for innovation and new business models in the upcoming years. However, the design of those services in a quality that is acceptable to users will require much closer collaboration of the different disciplines than in traditional software engineering projects. In terms of software engineering, it is crucial to facilitate this challenging cross-disciplinary collaboration in the best possible way. As a result of a research cooperation between John Deere and Fraunhofer IESE, we contribute the ICSpace app, an insights collaboration space for cross-disciplinary teams jointly working on the design of data-driven services.
Year
DOI
Venue
2020
10.1145/3417990.3422007
MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems Virtual Event Canada October, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-8135-2
0
PageRank 
References 
Authors
0.34
0
10
Name
Order
Citations
PageRank
susanne braun182.51
Marcus Trapp26811.87
Claudia Nass3248.30
Matthias Gerbershagen400.34
Stefan Schweitzer500.34
Rodrigo Falcão600.68
Matthias Naab714819.70
Markus Schweitzer800.34
Torsten Kreutzer900.34
Nikolaus Wire1000.34