An Evidential Software Risk Evaluation Model

Software risk management is an important factor in ensuring software quality. Therefore, assessment has become a significant and challenging research area. The aim of this study to establish data-driven model named DDERM. In the proposed model, experts’ assessments probability severity can be transformed into basic assignments (BPAs). Deng entropy was used measure uncertainty evaluation calculate criteria weights given by experts. addition, adjusted BPAs were fused using rules Dempster–Shafer evidence theory (DST). Finally, matrix get priority. A case application demonstrates effectiveness method. modeling framework novel approach that provides rational structure for imprecision applicable solving similar problems other domains.