摘要
提出一种基于云模型的程序时间性能评价方法。利用云模型在不确定性处理中的优势,对程序时间性能进行定量评价与定性评价之间的转化,改善传统的程序时间性能评价方法在复杂运行环境中和程序规模较大时存在的不足,能够很好地适用于各类程序的时间性能评价。使用LeNet和Sharpness等程序进行测试和实例验证,实验结果表明,所提方法充分利用了云模型的特性,能够高效、准确地对程序的时间性能进行评价。
Amethod for evaluating program running time performance based on cloud model was proposed.The superiorities of cloud model processing uncertainty were utilized to complete a conversion between quantitative and qualitative evaluation and disadvantages of the traditional program timing evaluation methods were made up,especially when running environments were complicated and the scales of the programs were enormous.The method proposed can be well applied to timing performance evaluation of any programs.The method was empirically validated with programs like LeNet and Sharpness.Experimental results show that the proposed method based on cloud model takes full advantage of cloud model.It can evaluate program timing performance effectively and accurately.
作者
刘玮
李广力
王冠成
崔天明
LIU Wei;LI Guang-li;WANG Guan-cheng;CUI Tian-ming(Foundation Department,Tourism College,Changchun University,Changchun 130607,China;College of Computer Science and Technology,Jilin University,Changchun 130012,China)
出处
《计算机工程与设计》
北大核心
2018年第2期435-440,共6页
Computer Engineering and Design
基金
吉林省教育厅"十二五"科学技术研究基金项目(吉教科文合字【2015】582)
吉林省教育厅"十三五"科学技术研究基金项目(吉教科文合字【2016】534)
关键词
云模型
不确定性
时间性能评价
时间性能比较
程序测试
cloud model
uncertainty
timing performance evaluation
timing performance comparison
program test
