摘要
对软件可靠度的控制设计可以提高软件的可移植性和稳定性,软件的可靠度因素受到多维非线性参量因素的限制,难以对软件可靠度控制模型进行有效的数学建模,传统的控制方法采用非线性动态衡量算法实现软件可靠度控制,控制算法的渐进收敛性不好,不能准确实现软件可靠性的动态评估。提出一种基于Leslie-Gower模型的软件可靠度二维渐进控制模型。构建了软件可靠度控制的Les-lie-Gower模型,分析软件可靠度控制的参量,基于遗传适应度博弈算法,在Leslie-Gower模型下,实现对软件可靠度的二维渐进控制算法控制,提高了软件可靠度的控制收敛性能。仿真结果表明,该算法能有效提高软件的执行和移植效率,可靠度控制的收敛性和鲁棒性较好。
The design of control software reliability can improve the portability and stability of software, software reliability factors by multidimensional nonlinear parameter constraints, it is difficult for software reliability control model effectively, the traditional control method using nonlinear dynamic measurement algorithm of software reliability control, control algo-rithm the asymptotic convergence is not good, can not accurately realize the dynamic evaluation of software reliability. This paper proposed a Leslie-Gower model for software reliability based on two-dimensional progressive control model. Con-structs a Leslie-Gower model of software reliability control, parameter analysis of software reliability control, genetic algo-rithm based on fitness game, under the Leslie-Gower model, the realization of two-dimensional for software reliability in-cremental control algorithm to control, improve the control performance of convergence of software reliability. The simula-tion results show that, the algorithm can effectively improve the software execution and graft efficiency, reliable control of the convergence and robustness.
出处
《科技通报》
北大核心
2015年第12期85-87,共3页
Bulletin of Science and Technology
