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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/10148

Title: Finding error-prone classes at design time using class based Object-Oriented metrics threshold through statistical method
???metadata.dc.creator???: Kumari, Dipti
Rajnish, Kumar
Keywords: Object - oriented metrics
Object - oriented design
Specificity
Sensitivity
Thresholds
ROC curve
AUC
Confusion matrix
Métricas orientadas a objeto
Design orientado a objeto
Especificidade
Sensibilidade
Limiares
Curva ROC
Matriz de confusão
Publisher: Editora da UFLA
???metadata.dc.date???: 1-Jun-2013
Citation: KUMARI, D.; RAJNISH, K. Finding error-prone classes at design time using class based Object-Oriented metrics threshold through statistical method. INFOCOMP: Journal of Computer Science, Lavras, v. 12, n. 1, p. 49-63, June 2013.
Abstract: A study that how error severity categories depend on the class level software metrics is presented through statistical method. The main purpose of the study is to classify error categories based on the different number of error occurrences in all the three version of Eclipse Project. The study used the all error type to find the software metrics threshold for the three releases of Eclipse project using Receiver Operating Characteristic curves. These thresholds are responsible for making difference between error-free or error prone classes . But, not all the choosen metrics are able to do that, though some of them are capable for that. In future it is not necessary that these software metric thresholds can predict the class will definitely have errors. This approach only provide a scientific way for software engineers to judge designed class is error prone or error free during design time.
Other Identifiers: http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/372
???metadata.dc.language???: eng
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