Software Reliability Test Methods Based on Component Composition and Markov Process

Zhi Jie Gao; Fu Chun Sun; Ling Lu

doi:10.4028/www.scientific.net/AMR.660.169

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 660Software Reliability Test Methods Based on...

Software Reliability Test Methods Based on Component Composition and Markov Process

Abstract:

With the continuous improvement of the software quality requirements, more and more attentions are paid to the reliability of software systems. Most of the existing reliability models rely on the cumulative test time to characterize the reliability improvement, while ignoring the saturation effects and software module failure characteristic differences exist, making the test results to low confidence. In this paper, Markov description methods are utilized in reliability calculating process to improve the fictitious-excellence problem in current testing models. Finally, the method is applied to a flight control system software reliability testing. The results demonstrate the effectiveness of the method.

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Periodical:

Advanced Materials Research (Volume 660)

Pages:

169-173

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.660.169

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Online since:

February 2013

Authors:

Zhi Jie Gao, Fu Chun Sun, Ling Lu

Keywords:

Markov Process, Reliability Degree, Software Component, State Transition

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References

[1] Song Xiaoqiu. Study on the evaluating models of software-reliability. [R]. Aerospace science report, 2010. (In Chinese).

Google Scholar

[2] A. Rawashdeh, B. Matalkah. A New Software Quality Model for Evaluating COTS Components. Journal of Computer Science, 2006, 2(4): 373-381.

DOI: 10.3844/jcssp.2006.373.381

Google Scholar

[3] Delamaro, J. maldonado A M: Ingegration Testing using Interface Mutations. New York: IEEE Computer Society Press, (1996).

Google Scholar

[4] M. heimdahl, J. thompson B C. Specification and Analysis of Component Communication [J]. IEEE Computer Magazine. 1998: 47-54.

Google Scholar

[5] Zhou Yuanquan: Improvement on quality-reliability and its evaluating approaches[M]. Beijing university of aviation and aerospace press, 1997. (In Chinese).

Google Scholar

[6] Cinlar E: Introduction to Stochastic Processes[M]. NJ: Prentice-Hall, (1975).

Google Scholar

[7] Y.J. Choi, S.W. Lee,H. Song. Practical S/W Component Quality Evaluation Model. 10th International Conference on Advanced Communication Technology, 2008. ICACT 2008: 259-264.

DOI: 10.1109/icact.2008.4493757

Google Scholar