An Experimental Study of Generality of Software Defects Prediction Models based on Object Oriented Metrics


The KIPS Transactions:PartD, Vol. 16, No. 3, pp. 407-416, Jun. 2009
10.3745/KIPSTD.2009.16.3.407,   PDF Download:

Abstract

To support an efficient management of software verification and validation activities, much research has been conducted to predict defects in early phase. And defect prediction models have been proposed to predict defects. But the generality of the models has not been experimentally studied for other software system. In other words, most of prediction models were applied only to the same system that had been used to build the prediction models themselves. Therefore, we performed an experiment to explore generality of major prediction models. In the experiment, we applied three defects prediction models to three different systems. As a result, we cannot find their generality of defect prediction capability. The cause is analyzed to result from a different metric distribution between the systems.


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Cite this article
[IEEE Style]
T. Y. Kim, Y. K. Kim, H. S. Chae, "An Experimental Study of Generality of Software Defects Prediction Models based on Object Oriented Metrics," The KIPS Transactions:PartD, vol. 16, no. 3, pp. 407-416, 2009. DOI: 10.3745/KIPSTD.2009.16.3.407.

[ACM Style]
Tae Yeon Kim, Yun Kyu Kim, and Heung Seok Chae. 2009. An Experimental Study of Generality of Software Defects Prediction Models based on Object Oriented Metrics. The KIPS Transactions:PartD, 16, 3, (2009), 407-416. DOI: 10.3745/KIPSTD.2009.16.3.407.