232 search results - page 1 / 47 » Comparison of Outlier Detection Methods in Fault-proneness M... |
IJACTAICIT
2010
13 years 2 months ago
2010
We have proposed a fault-prone software module detection method using text-filtering approach, called Fault-proneness filtering. Even though the fault-proneness filtering achieved...
ESEM
2007
ACM
13 years 8 months ago
2007
ACM
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 ...
ESEM
2009
ACM
13 years 11 months ago
2009
ACM
Over the last 25+ years, the software community has been searching for the best models for estimating variables of interest (e.g., cost, defects, and fault proneness). However, li...
EUSFLAT
2003
13 years 6 months ago
2003
In regression analysis, outliers always represent difficulties because they cause modeling errors. But under certain circumstances, they can actually contain useful information, as...
BMCBI
2006
13 years 4 months ago
2006
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...