【摘要】 为提高软件的可信性,提出了一种基于免疫算法的可信软件系统本体模型。该模型将软件系统由内而外抽象为四层,即语义层、演化控制层、服务层和免疫过滤层,并详细阐述了各层结构和运行原理。该模型具有自我学习、自我调整和持续改进的能力,当领域知识发生变化后,维护人员可通过人工免疫疫苗注入实现系统的自主演化,从而确保系统具有相应的高可信属性,为可信软件开发提供方法论支持。更多还原

【Abstract】 To improve credibility of softwares,this paper presented a kind of ontology model of trusted software system based on immune algorithm.The model abstracted the software system to four layers from inside to outside(semantic layer,evolution control layer,service layer and immune filter layer),and elaborated the structure of each layer and operation principle.The model had the capability of self-learning,self-adjustment and continuous improvement,when the domain knowledge changed,maintainers could inject artificial immune vaccination to realize system’s self-evolution which could ensure the system’s corresponding high credibility and provide support of methodology for the development of trusted software.更多还原