In this paper, we experimentally evaluated the effect of outlier detection methods to improve the prediction performance of fault-proneness models. Detected outliers were removed ...
—In software development, every change induces a risk. What happens if code changes again and again in some period of time? In an empirical study on Windows Vista, we found that ...
Nachiappan Nagappan, Andreas Zeller, Thomas Zimmer...
— We present the ASKALON environment whose goal is to simplify the development and execution of workflow applications on the Grid. ASKALON is centered around a set of high-level...
Thomas Fahringer, Radu Prodan, Rubing Duan, France...
This work addresses the problem of application mapping in networks-on-chip (NoCs) having as goal to minimize the total dynamic energy consumption of a complex system-on-a-chip (So...
A new method for scale-aware saliency detection is introduced in this work. Scale determination is realized through a fast scale-space algorithm using color and texture. Scale inf...