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ISSRE
2007
IEEE
14 years 21 days ago
Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...
Erik Arisholm, Lionel C. Briand, Magnus Fuglerud
TSE
2002
157views more  TSE 2002»
13 years 10 months ago
Assessing the Applicability of Fault-Proneness Models Across Object-Oriented Software Projects
A number of papers have investigated the relationships between design metrics and the detection of faults in object-oriented software. Several of these studies have shown that suc...
Lionel C. Briand, Walcélio L. Melo, Jü...
FLAIRS
2008
14 years 1 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
SIGSOFT
2007
ACM
14 years 12 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
ESEM
2009
ACM
14 years 5 months ago
Scope error detection and handling concerning software estimation models
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...
Salvatore Alessandro Sarcià, Victor R. Basi...