Selecting an Architecture Style Using Fuzzy Cubic Spline on in Style-based Systems

An architecture shows to what extent a system meets the needs of the stakeholders, so designing a desired architecture produces very high-quality software tailored to the needs of the stakeholders. Thus, finding a software architecture model is quite critical, and to achieve this goal, a suitable architecture style model must be used. In this regard, attempts are made to deploy the behavior of the candidate software styles as well as the stakeholders’ desired model as functions graphs, so that the desired architecture style model graphs, which meet the maximum needs of the stakeholders, are selected by comparison. Fuzzy Cubic Spline is used in the structure of the proposed algorithm, which requires turning qualitative data into quantitative data. To evaluate the proposed approach, a controlled experiment is also conducted. The proposed approach is compared with an analytic hierarchy process-based approach (AHP), TOPSIS and PTFG (Prioritizing using tensor and fuzzy graphs) in the experiment. The results analysis demonstrates that our approach needs to less time complexity and is much easier to use and highly accurate.