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Nov 11, 2013 · In this paper, we use the logistic regression method to empirically investigate the usefulness of object-oriented design metrics in predicting fault-proneness.
ABSTRACT. For optimum utilization of resources and reducing the cost of software, the fault detection and elimination process must be properly planned.
In this paper, we use the logistic regression method to empirically investigate the usefulness of object-oriented design metrics in predicting fault-proneness ...
Brij Mohan Goel, Pradeep Kumar Bhatia: Investigating of high and low impact faults in object-oriented projects. ACM SIGSOFT Softw.
Oct 31, 2006 · In this paper, we use logistic regression and machine learning methods to empirically investigate the usefulness of object-oriented design ...
This paper aims at empirically exploring the relationships between most of the existing coupling and cohesion measures for object-oriented (OO) systems.
We consider a class as being high risk if it has a fault and low risk if it does not have a fault. Predicted Risk. Low. High. Real Risk. Low n11.
This paper uses logistic regression and machine learning methods to empirically investigate the usefulness of object-oriented design metrics, specifically, ...
ABSTRACT. Inspections can be used to identify defects in software artifacts. In this way, inspection methods help to improve software quality,.
Mar 9, 2023 · Many studies in the literature have addressed the prediction of fault-prone classes, from different perspectives, using object-oriented metrics.