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Weapon System Software Quality Improvement using Software Reliability Prediction Model

  • Journal of Advances in Military Studies
  • Abbr : AdvMil
  • 2018, 1(2), pp.1~12
  • DOI : 10.37944/jams.v1i2.34
  • Publisher : Institute of Defense Acquisition Program
  • Research Area : Social Science > Military Science > Other Military Science
  • Received : November 28, 2018
  • Accepted : December 28, 2018
  • Published : December 31, 2018

Ryu, Insoo 1

1MOASOFT

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.

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