Ranking of components for reliability estimation of CBSS: an application of entropy weight fuzzy comprehensive evaluation model

The methodology of component-based software development, or CBSD, depends heavily on the reliability of its components. The reliability assessment of software components is currently the most common and significant problem in CBSS. The components chosen for integration from a variety of comparable functionally qualified components offered by multiple service providers in the market play an essential role in the reliability of the CBSS. As a result, the most reliable component must be chosen while considering the users’ business needs and budget. To estimate the reliability of software components, this study uses an alternative method known as an information entropy weight (IEW) fuzzy comprehensive evaluation model (FCEM) to rank the components based on their performance index. A case study is discussed to validate the results, and IEW FCEM is compared with fuzzy MOORA, fuzzy TOPSIS, CoCoSo, and FCEM-MULTIMOORA-FG methods. According to the results, components A8, or “Devices,” will significantly influence estimating the system’s overall reliability. On the other hand, option A2, which refers to the “Server” component, would have the least. The simulation results demonstrate that the suggested approach has better position accuracy than previous algorithms and is easier to implement in a computer system due to its simple and logical basic idea and computational simplicity.