A forecast method for software failure time based on linear regression

Yongqiang Zhang; Jingjie Yin

doi:10.1117/12.718012

28 October 2006 A forecast method for software failure time based on linear regression

Yongqiang Zhang, Jingjie Yin

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63581G (2006) https://doi.org/10.1117/12.718012
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

In this paper multivariate regression approach is adopted to predict the software failure time. Firstly, the linear relationship among several adjacent software failure times is analyzed, and construct multivariate linear regression model by mathematical modeling theory. Secondly, the regression coefficient in the multivariate linear regression equation is derived from the method of least square, and then the equation is obtained. Furthermore, the significance test is performed, including F test statistics and t test statistic. And the linear regression equation is amended by the method of amplifying or diminishing the corresponding coefficients according to t test statistic. Finally, it is certified by a simulation example.

Citation Download Citation

Yongqiang Zhang and Jingjie Yin "A forecast method for software failure time based on linear regression", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63581G (28 October 2006); https://doi.org/10.1117/12.718012

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