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Understanding and Engaging in COVESA Expert Groups & Projects |
COLLABORATIVE PROJECTS
HISTORICAL
SDV Telemetry Project |
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DRAFT V.0.2
Specific issue or challenge that requires a solution or improvement.
Ultimate objective(s) that a solution aims to achieve, typically formed by the stakeholders' desires.
Criteria and specifications that the artifact must meet to address the identified problem and achieve the set goals. Typically presented as functional and non-functional.
Represents the tangible outcome of a design that aims to solve the problem and fulfils the specified requirements and goals.
The fundamental components of an artifact design form together a clear and well-scoped summary. Following the template suggested in [3], each workflow at COVESA must target only artefacts with a complete set of design components as follows:
Formulating the design problem
Improve (or solve) a <problem>
by designing an <artifact>
that satisfies <requirements>
in order to achieve <goal(s)>
Bear in mind that specific details of the fundamental components might be unclear at the starting phase of a project. Nevertheless, as the work advances, they must be updated according to the development and aligned with the official releases of an artifact.
IN PROGRESS
Here comes a Figure that shows the steps to follow.
Here comes an specific example of an existing project in COVESA and its associated artefacts.
IN PROGRESS
[1]
A. Hevner, S. March, J. Park, and S. Ram, “Design science in information systems research,” MIS Quarterly, vol. 28, no. 1, pp. 75–105, 2004.
[2]
S. Gregor and A. Hevner, “Positioning and presenting design science research for maximum impact,” MIS quarterly, pp. 337–355, 2013.
[3]
R. J. Wieringa, Design Science Methodology for Information Systems and Software Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. doi: 10.1007/978-3-662-43839-8.
[4]
P. Offermann, S. Blom, M. Schönherr, and U. Bub, “Artifact Types in Information Systems Design Science – A Literature Review,”
in Global Perspectives on Design Science Research, vol. 6105, R. Winter, J. L. Zhao, and S. Aier, Eds., in Lecture Notes in Computer Science, vol. 6105. , Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 77–92. doi: 10.1007/978-3-642-13335-0_6.