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We first compared our metric to the static metrics using the public LIRIS/EPFL general purpose dataset [26].
Static metrics are applied to BPMN models and allow obtaining values related to complexity and coupling.
It includes static metrics, dynamic metrics, prior metrics and correction metrics.
According to these results, our metric well correlates with the subjective responses and it is superior to most of the static metrics.
The static metrics measure complexity and criticality of component assembly, wherein complexity is measured using Component Packing Density and Component Interaction Density metrics.
These metrics are inspired from those of software engineering and are classified into two main categories: static metrics and dynamic metrics.
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Manageability of code can be based on static code metrics measuring coupling (see Table 2).
In this work, we present a data mining approach to induce rules extracted from static software metrics characterising fault-prone modules.
An empirical evaluation of 14 Java programs taken from the SPEC JVM98 and the JOlden benchmark suites is conducted using the static CBO metric, six dynamic metrics and instruction coverage data.
In this paper both static and dynamic metrics are evaluated using Weyuker's set of properties.
In a future research, we will continue on developing the assessment part of the different models, illustrated in this paper, using a set of static and dynamic metrics.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com