摘要
研究差异化结构框架下的软件故障检测问题。当前软件结构呈现差异化趋势越发明显,软件集成性使得整体结构的衔接关联性出现淡化。结构接口之间无明显衔接特征。传统的软件故障检测方法在进行差异化结构框架下软件故障定位时,由于缺少明确的接口衔接特征进行定位区域指示,造成软件故障信号归属区域无法认定,造成定位不准。提出采用差异结构融合算法的软件故障检测方法。利用信号融合技术,对软件故障检测信号进行有效的融合处理,从而为软件故障检测提供基础。利用分布式协同检测方法,对软件故障特征进行有效的特征归类检测,从而完成软件故障检测。实验结果表明,利用上述算法进行软件故障检测,能够极大地提高检测的准确性。
Research differentiation structure under the framework of software fauh detection problems. In the paper, a fusion algorithm was proposed based on the differences in structure of the software fault detection method. Using the signal fusion technology, the fusion processing of software fault detection signal was implemented, so as to provide the basis for software fault detection. Using the distributed collaborative detection method, the characteristics of software failures was detected and classified, effectively to complete the software fault detection. The experimental results show that, using the algorithm for software fault detection, can greatly improve the accuracy of detection.
出处
《计算机仿真》
CSCD
北大核心
2014年第6期266-269,共4页
Computer Simulation
关键词
差异化结构
软件故障
故障定位
信号融合
Differential structure
Software failures
Fault location
Signal fusion