Realization of Reliability for Data and Software to Improve Quality

Abstract

The goal is to look for code performance metrics. Reliability is an important aspect of any program that cannot be ignored and difficult to measure. "Program reliability is defined as the probability of running programs without disruption in a specific environment for a specified period of time." The reliability of the technology differs from the performance of the hardware. Program reliability is difficult because the complexity of the program is high. Different methods can be used to increase system performance, but it is difficult to balance development time, budget, and software quality. But the best way to ensure technology consistency is to build high-quality programs throughout the life cycle of the program. We will discuss software reliability metrics in this paper. Metrics used early on can help detect and correct defects of requirements that will prevent program lifecycle errors later. It also provides consistency quality of the information system database with the help of RStudio, and we can also illustrate reliability based on the value of cyclomatic complexity and we can say whether the data or software is more reliable, less reliable or somewhat reliable.