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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
DBLP
Conference object . 2025
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ICER

a tool for finding errors in a UML model
Authors: Wuwei Shen; Dae-Kyoo Kim;
Abstract

Detecting errors in an early phase of software development can help to reduce the cost of software systems. Many research attempts presented a fixed set of rules to help finding errors in a model. However, flexibility is one of the characteristics during software development. The correctness of a model usually depends on many factors such as development environments. The predefined rules usually fail to provide such flexibility. This paper will apply the idea from YACC/BISON to allow software engineers to define the validity of their application models in a profile. Central to the profile mechanism is the instance-of relation, which is established between an application model and a profile. As a result, engineers can first define the validity of an application in a profile and thus find errors in a model when the model is not a valid instance of the profile. Based on the profile mechanism, we build a tool, called ICER, which can automatically help developers to check the instance-of relation between a profile and an application model. As an example, we apply the reification of the Factory Method pattern to illustrate how the ICER tool helps to support error detection.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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