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Title:

A model-based testing framework with reduced set of test cases for programmable controllers

Document type:
Konferenzbeitrag
Author(s):
Canlong Ma; Julien Provost
Abstract:
In testing of programmable controllers, manual selection of test cases is still the most common method in practice. This is however tailor-made, time consuming and error-prone. Traditional model-based methods can hardly handle industrial scale systems which usually possess a significant number of states, and signals of sensors and actuators. In this paper, we propose a model-based testing framework that utilizes simplified plant features to reduce the number of test cases, and at the same tim...     »
Book / Congress title:
13th IEEE Conference on Automation Science and Engineering (CASE 2017)
Date of publication:
20.08.2017
Year:
2017
Year / month:
2017-08
Covered by:
Scopus; Web of Science
Reviewed:
ja
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