Weapon System Software Quality Improvement using Software Reliability Prediction Model
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초록
Most software flaws that occur during the operational phase are often not identifed during the development phase. Therefore, to ensure reliability of software during the development phase is very important. This study proposes a predictive model to improve the reliability of the weapon system software during the development phase. Using the RADC model proposed in this study, we calculate the predicted reliability of the softwae development phase for the software project developed by M company. Experiments compaing before and after model application indicated a significant decrease in the predictive defect density (PDD) and the predictive defect count (PDC). The results of the experiment showed that we could reduce the burden on the operational phase by minimizing the failure in the softwae development phase.
Abstract
Most software flaws that occur during the operational phase are often not identifed during the development phase. Therefore, to ensure reliability of software during the development phase is very important. This study proposes a predictive model to improve the reliability of the weapon system software during the development phase. Using the RADC model proposed in this study, we calculate the predicted reliability of the softwae development phase for the software project developed by M company. Experiments compaing before and after model application indicated a significant decrease in the predictive defect density (PDD) and the predictive defect count (PDC). The results of the experiment showed that we could reduce the burden on the operational phase by minimizing the failure in the softwae development phase.
참고문헌 (6)
- Abran, A,, "Guide to the software engineering body of knowledge: 2004 version SWEBOK" (2004), IEEE Computer Society
- Defense Acquisition Program Administration(DAPA), "Weapon System Software Development and Management Manual", DAPA, ~ (2017)
- Methodology for Software Reliability Prediction and Assessment, "Friedman, M.", Rome Laboratory, ~, pp.Report RL-TR-92-52 (1992)
- IEEE, "Recommended Practice on Software Reliability", IEEE Std 1633™-2016(Revision of IEEE Std 1633-2008), ~ (2017)
- Musa, J. D., "Software reliability engineering: more reliable software, faster and cheaper" (2004), Tata McGraw-Hill Education
- Ryu, I. S., "A Study on the Weapon System Software Reliability Prediction and Estimation Process at the Software Development Phase", International Conference on Computational Science and Its Applications, pp.205~217 (2018), Springer