Empirical Analysis of Object-Oriented Design Metrics for Predicting Unit Testing Effort of Classes

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Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
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E-mail: jsea@scirp.org

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"Empirical Analysis of Object-Oriented Design Metrics for Predicting Unit Testing Effort of Classes"
written by Mourad Badri, Fadel Toure,
published by Journal of Software Engineering and Applications, Vol.5 No.7, 2012

has been cited by the following article(s):

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[6]	Software Package Testability Prediction Using Object-Oriented Cohesion Metrics 2022 13th International Conference on Information and Communication Systems (ICICS), 2022 DOI:10.1109/ICICS55353.2022.9811192

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[19]	Investigating the Effect of Aspect-Oriented Refactoring on the Unit Testing Effort of Classes: An Empirical Evaluation International Journal of Software Engineering and Knowledge Engineering, 2017 DOI:10.1142/S0218194017500280

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[21]	Exploring the Impact of Clone Refactoring on Test Code Size in Object-Oriented Software 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017 DOI:10.1109/ICMLA.2017.00098

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[24]	Predicting Unit Testing Effort Levels of Classes: An Exploratory Study based on Multinomial Logistic Regression Modeling Procedia Computer Science, 2015 DOI:10.1016/j.procs.2015.08.528

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[27]	On the effect of aspect-oriented refactoring on testability of classes: A case study 2012 International Conference on Computer Systems and Industrial Informatics, 2012 DOI:10.1109/ICCSII.2012.6454577

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

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