72 search results - page 1 / 15 » Empirical Assessment of Machine Learning based Software Defe... |
WORDS
2005
IEEE
13 years 10 months ago
2005
IEEE
WCRE
2007
IEEE
13 years 11 months ago
2007
IEEE
Defect density and defect prediction are essential for efficient resource allocation in software evolution. In an empirical study we applied data mining techniques for value seri...
ICSM
2008
IEEE
13 years 11 months ago
2008
IEEE
In mission critical systems, such as those developed by NASA, it is very important that the test engineers properly recognize the severity of each issue they identify during testi...
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...
PROMISE
2010
12 years 11 months ago
2010
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...