基于组合修正模型的软件鲁棒性检测算法分析  

Software Detection Algorithm Robustness Analysis Based on the Combination of Correction Model

作　　者：马相芬[1] 王文彬[1] 

机构地区：[1]濮阳职业技术学院,河南濮阳457000

出　　处：《科技通报》2014年第2期83-85,129,共4页Bulletin of Science and Technology

摘　　要：为了提高软件鲁棒性检测精度,将灰色预测模型和马尔可夫链进行组合,提出一种基于串联灰色马尔可夫链模型的软件鲁棒性检测组合模型。利用灰色系统模型预测软件可靠性的整体趋势,马尔可夫链对软件可靠性的随机性、波动性进行预测,实现对灰色模型预测结果的修正,实现软件可靠性的准确预测。仿真结果表明,相对于传统预测方法,灰色马尔可夫链组合模型提高了软件鲁棒性的测量精度,可以为软件开发工作提供一些科学性、建设性建议,提高软件质量。In order to improve the software reliability prediction accuracy, the grey prediction model and markov chain are combined, and put forward a series series of gray markov chain model of the combination of software reliability prediction model. Using grey system models to predict the reliability of the overall trend, markov chains to forecast the software reli-ability of randomness, volatility, and realize the grey model predicted results, realize the accurate prediction of software reliability. The simulation results show that compared with traditional forecast methods, the color combination of markov chain model improves the prediction accuracy of software reliability, can work for software development to provide some scientific and constructive Suggestions, improve the quality of software.

关 键 词：软件可靠性 鲁棒性 马尔可夫链模型 误差修正 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]