This work reports on a study on the feasibility of applying "weighted estimator of a common correlation" technique to software measurement data. This technique is a metaanalytical approach to generalizing the knowledge from individual statistical studies. The technique is applied on a data set of 100 public domain Java projects to determine if it is possible to generalize project-specific significant correlations. The results of the experiment show that the technique avoids both type I and type II errors.
Application of Statistical Meta-Analysis to Software Engineering Metrics Data
Succi G;
2000
Abstract
This work reports on a study on the feasibility of applying "weighted estimator of a common correlation" technique to software measurement data. This technique is a metaanalytical approach to generalizing the knowledge from individual statistical studies. The technique is applied on a data set of 100 public domain Java projects to determine if it is possible to generalize project-specific significant correlations. The results of the experiment show that the technique avoids both type I and type II errors.File in questo prodotto:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
