Bivariate Software Fault-Detection Models

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2007 31st Annual International Computer Software and Applications Conference

Beijing, China

July 24-July 27

ISBN: 0-7695-2870-8

	ASCII Text	x
	Tomotaka Ishii, Tadashi Dohi, Hiroyuki Okamura, "Bivariate Software Fault-Detection Models," Computer Software and Applications Conference, Annual International, vol. 1, pp. 535-538, 2007 31st Annual International Computer Software and Applications Conference, 2007.

	BibTex	x
	@article{ 10.1109/COMPSAC.2007.85, author = {Tomotaka Ishii and Tadashi Dohi and Hiroyuki Okamura}, title = {Bivariate Software Fault-Detection Models}, journal ={Computer Software and Applications Conference, Annual International}, volume = {1}, year = {2007}, issn = {0730-3157}, pages = {535-538}, doi = {http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2007.85}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Software and Applications Conference, Annual International TI - Bivariate Software Fault-Detection Models SN - 0730-3157 SP535 EP538 A1 - Tomotaka Ishii, A1 - Tadashi Dohi, A1 - Hiroyuki Okamura, PY - 2007 KW - null VL - 1 JA - Computer Software and Applications Conference, Annual International ER -

Tomotaka Ishii, Hiroshima University

Tadashi Dohi, Hiroshima University

Hiroyuki Okamura, Hiroshima University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2007.85

In this paper, we develop bivariate software fault-detection models with two time measures: calendar time (day) and test-execution time (CPU time) and incorporate both of them to assess the quantitative software reliability with higher accuracy. The resulting stochastic models are characterized by a simple binomial process and the bivariate order statistics of software fault-detection times with different time scales.

Citation:

Tomotaka Ishii, Tadashi Dohi, Hiroyuki Okamura, "Bivariate Software Fault-Detection Models," compsac, vol. 1, pp.535-538, 2007 31st Annual International Computer Software and Applications Conference, 2007

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