关键词：电子信息；软件；模糊性建模；可靠性
摘 要：The paper deals with a new model description of software reliability growth dynamics. The model is applicable to multi-stage reliability growth that covers the complex defect detection rate and is based on Takagi-Sugeno fuzzy inference engine The identification procedure determines model structure in real time based on evolving clustering algorithm. The clusters are discovered according to Gustafson-Kessel distance metric that copes with clusters of different shape and orientation. The developed model is validated through a case-study data set.