Abstract
The proportion of software in the weapon system gradually increases and the embedded software in weapon system is becoming an important factor in determining the performance of the weapon system. The defect in the software of the weapon system are those that are not found at the development phase. To minimize the cost of software defect correction, systematic software quality control is required from the development phase. To increase the reliability of the software, reliability prediction and reliability estimation should be performed in the software development phase. This paper suggests the process of software reliability and the result of comparison on the software quality metrics of the project that applied the reliability prediction and estimation model are presented. It will contribute to improving the quality of software by minimizing potential defects in the software development phase.
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References
Weapon System Software Development and Management Manual Korea Defense Acquisition Program Administration (2017)
IEEE Standard Dictionary of Measures to Produce Reliable Software. IEEE Std 982.1(1988)
Guide to the Software Engineering Body of Knowledge. IEEE SWEBOK (2004)
Lyu, M.R.: Handbook of Software Reliability Engineering. IEEE Computer Society Press, Washington, D.C. (1996)
Ryu, I.S.: A study on the applying method for the life cycle sustainment plan of weapon system software. Kunguk University (2014)
IEEE Recommended Practice on Software Reliability. IEEE Std 1633 (2016)
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Ryu, I.S., Jeong, S.J. (2018). A Study on the Weapon System Software Reliability Prediction and Estimation Process at the Software Development Phase. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10964. Springer, Cham. https://doi.org/10.1007/978-3-319-95174-4_17
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DOI: https://doi.org/10.1007/978-3-319-95174-4_17
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