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PRL
2010
188views more  PRL 2010»
15 years 11 days ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
PRL
2010
149views more  PRL 2010»
15 years 11 days ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
PROMISE
2010
15 years 11 days ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
PROMISE
2010
15 years 11 days ago
Exploiting count spectra for Bayesian fault localization
Background: Automated diagnosis of software defects can drastically increase debugging efficiency, improving reliability and time-to-market. Current, low-cost, automatic fault dia...
Rui Abreu, Alberto González-Sanchez, Arjan ...
PROMISE
2010
15 years 11 days ago
Prediction of defect distribution based on project characteristics for proactive project management
As software has been pervasive and various software projects have been executed since the 1970s, software project management has played a significant role in software industry. Th...
Youngki Hong, Wondae Kim, Jeongsoo Joo
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