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    NTHUR > College of Electrical Engineering and Computer Science > Department of Computer Science > CS Journal / Magazine Articles >  An Adaptive Reliability Analysis Using Path Testing for Complex Component-Based Software Systems

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    Title: An Adaptive Reliability Analysis Using Path Testing for Complex Component-Based Software Systems
    Authors: C. J. Hsu;C. Y. Huang
    Teacher: 黃慶育
    Date: 2011
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: IEEE Transactions on Reliability, IEEE, Volume 60, Issue 1, March 2011, Pages 158-170
    Keywords: Component-based software system
    path testing
    path-based software reliability prediction
    white-box test
    Abstract: With the growing size and complexity of software applications, traditional software reliability methods are insufficient to analyze inter-component interactions of modular software systems. The number of test cases may be extremely large for this application; therefore, it is hard for us to extensively test each software component given resource limitations. In this paper, we propose an adaptive framework of incorporating path testing into reliability estimation for modular software systems. Three estimated methods based on common program structures, namely, sequence, branch, and loop structures, are proposed to calculate the path reliability. Consequently, the derived path reliabilities can be applied to the estimates of software reliability. Some experiments are performed based on two real systems. In addition, the accuracy and correlation with respect to the experiments are investigated by simulation and sensitivity analysis. Experimental results show that the path reliability has a high correlation to the actual software reliability. For software with loop structures, a smaller loop number can be assigned to derive an acceptable estimation of path reliability. Further, the sensitivity analysis can be used to identify critical modules and paths for resource allocation. It can be concluded that the proposed methods are useful and helpful for estimating software reliability and can be adaptively used in the early stages of software development.
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    Appears in Collections:[Department of Computer Science] CS Journal / Magazine Articles
    [Institute of Information Systems and Applications] ISA Journal / Magazine Articles

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