15 search results - page 1 / 3 » On the value of learning from defect dense components for so... |
PROMISE
2010
12 years 11 months ago
2010
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...
AICCSA
2006
IEEE
13 years 6 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...
FASE
2007
Springer
13 years 10 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...
INTERACT
2003
13 years 6 months ago
2003
: Defect classification can improve product quality and motivate process improvement. Several defect classification schemes have been developed and used with good results in softwa...
ISSRE
2010
IEEE
13 years 3 months ago
2010
IEEE
—In software development, every change induces a risk. What happens if code changes again and again in some period of time? In an empirical study on Windows Vista, we found that ...