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基于改进粒子群算法的软件可靠性评估 被引量:2

Software reliability evaluation based on improved particle swarm optimization algorithm
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摘要 软件可靠性是软件质量评价的一个重要标准,针对传统方法存在软件可靠性评估精度低,结果不可信等缺陷,提出基于改进粒子群算法的软件可靠性评估模型。首先对当前软件可靠性评估的研究现状进行分析,然后建立软件可靠性评估模型,最后采用改进粒子群算法对模型参数进行求解,并通过具体软件可靠性评估实验对模型的性能进行分析,结果表明,改进粒子群算法可以对软件可靠性进行高精度评估,而且评估结果要明显优于其他软件可靠性评估模型,具有更高的实际应用价值。 The software reliability is an important standard of software quality evaluation. Since the traditional methods have the defects of low software reliability evaluation accuracy and incredible evaluation result,a software reliability evaluation model based on improved particle swarm optimization algorithm is put forward. The current research status of software reliability evaluation is analyzed. The software reliability evaluation model is established,and its parameters are solved with the improved particle swarm optimization algorithm. The performance of the model is analyzed with the specific experiment of software reliability evaluation. The experimental results show that the improved particle swarm optimization algorithm can evaluate the software reliability accurately,and its evaluation result is much better than that of other software reliability evaluation models. It has high practical application value.
作者 李宁
出处 《现代电子技术》 北大核心 2017年第21期102-104,108,共4页 Modern Electronics Technique
关键词 软件质量 粒子群优化算法 可靠性评估模型 仿真实验 software quality particle swarm optimization algorithm reliability evaluation model simulation experiment
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