Johannes Himmelbauer

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Hermann Weyl's concept of a discrepancy measure is discussed in the context of time series analysis. A concept for autocorrelation based on this discrepancy notion is introduced. It is shown that in particular for high frequent signals as they, for example, are typically encountered in a financial context, the introduced autocorrelation concept stands out(More)
The potential benefits of defect prediction have created widespread interest in research and generated a considerable number of empirical studies. Applications with real-world data revealed a central problem: Real-world data is "dirty" and often of poor quality. Noise in bug report data is a particular problem for defect prediction since it effects the(More)
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