27 search results - page 1 / 6 » Software Defect Prediction Using Regression via Classificati... |
AICCSA
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
AMOST
2005
ACM
13 years 11 months ago
2005
ACM
Early estimation of defect density of a product is an important step towards the remediation of the problem associated with affordably guiding corrective actions in the software d...
FASE
2007
Springer
14 years 3 months ago
2007
Springer
We use 63 features extracted from sources such as versioning and issue tracking systems to predict defects in short time frames of two months. Our multivariate approach covers aspe...
MSR
2009
ACM
14 years 3 months ago
2009
ACM
Defect prediction is an important task in the mining of software repositories, but the quality of predictions varies strongly within and across software projects. In this paper we...
ICSE
2005
IEEE-ACM
14 years 9 months ago
2005
IEEE-ACM
During software development it is helpful to obtain early estimates of the defect density of software components. Such estimates identify fault-prone areas of code requiring furth...