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In other words, refactoring operations are generally focused on code components for which quality metrics do not suggest there might be need for refactoring operations.
In other words, the characteristics of code components increasing/decreasing their chances of being object of refactoring operations are still unknown.
However, the reliability of the predictions of the code depends directly on the certified accuracy of the code components, i.e. the models the code uses to estimate the quantities necessary for the transport calculation.
This paper describes an approach to the feature location problem for distributed systems, that is, to the problem of locating which code components are important in providing a particular feature for an end user.
Specifically, we mined the evolution history of three Java open source projects to investigate whether refactoring activities occur on code components for which certain indicators—such as quality metrics or the presence of smells as detected by tools—suggest there might be need for refactoring operations.
It is found that all the code components are significantly faster than the parallel MCNPX run on 12 MPI processes, and that the GPU and coprocessor codes are 5.15 5.81 and 3.30 3.38 times faster than the parallel ARCHER-CTCPU, respectively.
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Does a specific image use a specific source code component, runtime component or Web service?
The station code, component of motion, distance from the source centroid, and azimuth are indicated above each seismogram.
The coupling is as follows: each SPC check node of LDPC-Staircase (base code) is replaced by an RS code (component code), nodes that are now called "generalized check nodes".
Station code, component, and peak amplitude (micrometer for teleseismic and centimeter for near-field) are written on the left of each waveform.
Anduril source code, component repository, extensive documentation, an installation guide and VirtualBox image for convenient testing are downloadable from the Anduril website [ 17].
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