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IRI
2007
IEEE
16 years 16 days ago
Software Defects Prediction using Operating Characteristic Curves
We present a software defect prediction model using operating characteristic curves. The main idea behind our proposed technique is to use geometric insight in helping construct a...
Torsten Bergander, Yan Luo, A. Ben Hamza
MSR
2010
ACM
15 years 11 months ago
An extensive comparison of bug prediction approaches
Abstract—Reliably predicting software defects is one of software engineering’s holy grails. Researchers have devised and implemented a plethora of bug prediction approaches var...
Marco D'Ambros, Michele Lanza, Romain Robbes
FIRBPERF
2005
IEEE
235views Algorithms» more  FIRBPERF 2005»
15 years 12 months ago
Performance Model Building of Pervasive Computing
Performance model building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using aut...
Andrea D'Ambrogio, Giuseppe Iazeolla
VTC
2007
IEEE
138views Communications» more  VTC 2007»
16 years 18 days ago
Applicability of UWB Double Directional Propagation Modeling for Evaluating UWB Transmission Performance
Abstract— This paper investigates the applicability of deterministic ultra wideband (UWB) propagation modeling for evaluating UWB system performances. The modeling explores the w...
Katsuyuki Haneda, Jun-ichi Takada, Takehiko Kobaya...
ECML
2005
Springer
15 years 12 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu