Weapon System Software Quality Improvement using Software Reliability Prediction Model

Abstract

Most software flaws that occur during the operational phase are often not identified 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 software development phase for the software project developed by M company. Experiments comparing 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 software development phase.