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» A Data Analysis Method for Software Performance Prediction
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JSS
2007
118views more  JSS 2007»
13 years 8 months ago
A new imputation method for small software project data sets
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
Qinbao Song, Martin J. Shepperd
BMCBI
2007
237views more  BMCBI 2007»
13 years 8 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
ESEM
2007
ACM
14 years 10 days ago
Comparison of Outlier Detection Methods in Fault-proneness Models
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 ...
Shinsuke Matsumoto, Yasutaka Kamei, Akito Monden, ...
ESEM
2007
ACM
13 years 10 months ago
An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method
The quality of software measurement data affects the accuracy of project manager’s decision making using estimation or prediction models and the understanding of real project st...
Kyung-A Yoon, Oh-Sung Kwon, Doo-Hwan Bae
BMCBI
2010
134views more  BMCBI 2010»
13 years 8 months ago
ScreenMill: A freely available software suite for growth measurement, analysis and visualization of high-throughput screen data
Background: Many high-throughput genomic experiments, such as Synthetic Genetic Array and yeast two-hybrid, use colony growth on solid media as a screen metric. These experiments ...
John C. Dittmar, Robert J. D. Reid, Rodney Rothste...