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A study of subgroup discovery approaches for defect prediction

 

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Author: Rodríguez, Daniel
Ruiz, Roberto
Riquelme Santos, José Cristóbal
Harrison, Rachel
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2013
Published in: Information and Software Technology, 55 (10), 1810-1822.
Document type: Article
Abstract: Context: Although many papers have been published on software defect prediction techniques, machine learning approaches have yet to be fully explored. Objective: In this paper we suggest using a descriptive approach for defect prediction rather th...
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Cite: Rodríguez, D., Ruíz, R., Riquelme Santos, J.C. y Harrison, R. (2013). A study of subgroup discovery approaches for defect prediction. Information and Software Technology, 55 (10), 1810-1822.
Size: 1.039Mb
Format: PDF

URI: http://hdl.handle.net/11441/43511

DOI: 10.1016/j.infsof.2013.05.002

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