A Study on Extraction of Defect Causal Variables for Defect Management in Financial Information System

KIPS Transactions on Software and Data Engineering, Vol. 2, No.6, pp.369-376, June 2013
10.3745/KTSDE.2013.2.6.369, Full Text

Abstract

Finance Information System is critical national infrastructure. Therefore it is important to select variables of defect causal factor for the system defect management effectively. We research and analyze detected errors in A Company`s Finance Information System for three years. In the result of research and analysis, we have selected 9 variables of defect factor; the trading volume, the fluctuation of KOSDAQ index, and the number of public announcements, etc. Then we have assumed that these variables affect real system errors and analyzed correlation between the hypothesis and the detected system errors. After analyzing, we have extracted the trading volume, the number of orders and fills, changing tasks, and the fluctuations of NASDAQ index as valid variables of defect factor. These variables are proposed for failure prediction model as the variables to manage defects in the finance information system afterward.


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Cite this paper

[KIPS Transactions Style]
T. h. Kang and S. Y. Rhew, "A Study on Extraction of Defect Causal Variables for Defect Management in Financial Information System," KIPS Transactions on Software and Data Engineering, Vol.2, No.6, pp.369-376, 2013, DOI: 10.3745/KTSDE.2013.2.6.369.

[IEEE Style]
Tae hong Kang and Sung Yul Rhew, "A Study on Extraction of Defect Causal Variables for Defect Management in Financial Information System," KIPS Transactions on Software and Data Engineering, vol. 2, no. 6, pp. 369-376, 2013. DOI: 10.3745/KTSDE.2013.2.6.369.

[ACM Style]
Kang, T. h. and Rhew, S. Y. 2013. A Study on Extraction of Defect Causal Variables for Defect Management in Financial Information System. KIPS Transactions on Software and Data Engineering, 2, 6, (2013), 369-376. DOI: 10.3745/KTSDE.2013.2.6.369.