Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

8

NOMS
2008
IEEE

favoriteEmaildiscussreport

83views Communications» more NOMS 2008»

Using machine learning for non-intrusive modeling and prediction of software aging

13 years 11 months ago

Using machine learning for non-intrusive modeling and prediction of software aging

Download www.coregrid.net

Artur Andrzejak, Luís Moura Silva

Real-time Traffic

Communications | NOMS 2008 |

claim paper

Related Content

» Predicting defectprone software modules using support vector machines

» Software Defect Prediction Using Regression via Classification

» Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods

» Using Association Rule Mining to Discover Temporal Relations of Daily Activities

» Predicting Customer Models Using BehaviorBased Features in Shops

» Sentiment Mining Using Ensemble Classification Models

» Machine learning based online performance prediction for runtime parallelization and task ...

» Machine learning techniques in disease forecasting a case study on rice blast prediction

» On the value of learning from defect dense components for software defect prediction

Post Info
More Details (n/a)

Added	01 Jun 2010
Updated	01 Jun 2010
Type	Conference
Year	2008
Where	NOMS
Authors	Artur Andrzejak, Luís Moura Silva

Comments (0)