Comments on "Data Mining Static Code Attributes to Learn Defect Predictors"

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2007
Issue No. 9 - September
Abstract - Comments on "Data Mining Static Code Attributes to Learn Defect Predictors"

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September 2007 (vol. 33 no. 9)

pp. 635-637

	ASCII Text	x
	Hongyu Zhang, Xiuzhen Zhang, "Comments on "Data Mining Static Code Attributes to Learn Defect Predictors"," IEEE Transactions on Software Engineering, vol. 33, no. 9, pp. 635-637, September, 2007.

	BibTex	x
	@article{ 10.1109/TSE.2007.70706, author = {Hongyu Zhang and Xiuzhen Zhang}, title = {Comments on "Data Mining Static Code Attributes to Learn Defect Predictors"}, journal ={IEEE Transactions on Software Engineering}, volume = {33}, number = {9}, issn = {0098-5589}, year = {2007}, pages = {635-637}, doi = {http://doi.ieeecomputersociety.org/10.1109/TSE.2007.70706}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - JOUR JO - IEEE Transactions on Software Engineering TI - Comments on "Data Mining Static Code Attributes to Learn Defect Predictors" IS - 9 SN - 0098-5589 SP635 EP637 EPD - 635-637 A1 - Hongyu Zhang, A1 - Xiuzhen Zhang, PY - 2007 KW - defect prediction KW - accuracy measures KW - static code attributes KW - empirical VL - 33 JA - IEEE Transactions on Software Engineering ER -

Hongyu Zhang

Xiuzhen Zhang

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TSE.2007.70706

In this correspondence, we point out a discrepancy in a recent paper "Data Mining Static Code Attributes to Learn Defect Predictors" that was published in this journal. Because of the small percentage of defective modules, using pd and pf as accuracy measures may lead to impractical prediction models.

[1] T. Menzies, J. Greenwald, and A. Frank, “Data Mining Static Code Attributes to Learn Defect Predictors,” IEEE Trans. Software Eng., vol. 33, no. 1, Jan. 2007.
[2] R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval. ACM Press, 1999.
[3] I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, 1999.

Index Terms:

defect prediction, accuracy measures, static code attributes, empirical

Citation:

Hongyu Zhang, Xiuzhen Zhang, "Comments on "Data Mining Static Code Attributes to Learn Defect Predictors"," IEEE Transactions on Software Engineering, vol. 33, no. 9, pp. 635-637, June 2007, doi:10.1109/TSE.2007.70706

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