The bug tracking system is well known as the project support tool of open source software. There are many categorical data sets recorded on the bug tracking system. In the past, many reliability assessment methods hav...The bug tracking system is well known as the project support tool of open source software. There are many categorical data sets recorded on the bug tracking system. In the past, many reliability assessment methods have been proposed in the research area of software reliability. Also, there are several software project analyses based on the software effort data such as the earned value management. In particular, the software reliability growth models can </span><span style="font-family:Verdana;">apply to the system testing phase of software development. On the other</span><span style="font-family:Verdana;"> hand, the software effort analysis can apply to all development phase, because the fault data is only recorded on the testing phase. We focus on the big fault data and effort data of open source software. Then, it is difficult to assess by using the typical statistical assessment method, because the data recorded on the bug tracking system is large scale. Also, we discuss the jump diffusion process model based on the estimation method of jump parameters by using the discriminant analysis. Moreover, we analyze actual big fault data to show numerical examples of software effort assessment considering many categorical data set.展开更多
在越来越复杂的电磁频谱环境中,要想实现对频谱资源的管控,首先要判断发送信号的辐射源是否是己方已知的.针对此问题,本文提出了一种基于计算特征子空间投影比值的算法Open-MUSIC(MUltiple SIgnal Classification),通过神经网络获得已...在越来越复杂的电磁频谱环境中,要想实现对频谱资源的管控,首先要判断发送信号的辐射源是否是己方已知的.针对此问题,本文提出了一种基于计算特征子空间投影比值的算法Open-MUSIC(MUltiple SIgnal Classification),通过神经网络获得已知类特征表示;进而得到已知类特征矩阵的两个正交子空间;以特征在两个子空间内的投影比值为指标,对辐射源信号样本是否为已知做判决.在3个数据集上的仿真表明,Open-MUSIC算法的性能在电磁数据集上较其他方法提升了3%以上.展开更多
文摘The bug tracking system is well known as the project support tool of open source software. There are many categorical data sets recorded on the bug tracking system. In the past, many reliability assessment methods have been proposed in the research area of software reliability. Also, there are several software project analyses based on the software effort data such as the earned value management. In particular, the software reliability growth models can </span><span style="font-family:Verdana;">apply to the system testing phase of software development. On the other</span><span style="font-family:Verdana;"> hand, the software effort analysis can apply to all development phase, because the fault data is only recorded on the testing phase. We focus on the big fault data and effort data of open source software. Then, it is difficult to assess by using the typical statistical assessment method, because the data recorded on the bug tracking system is large scale. Also, we discuss the jump diffusion process model based on the estimation method of jump parameters by using the discriminant analysis. Moreover, we analyze actual big fault data to show numerical examples of software effort assessment considering many categorical data set.
文摘在越来越复杂的电磁频谱环境中,要想实现对频谱资源的管控,首先要判断发送信号的辐射源是否是己方已知的.针对此问题,本文提出了一种基于计算特征子空间投影比值的算法Open-MUSIC(MUltiple SIgnal Classification),通过神经网络获得已知类特征表示;进而得到已知类特征矩阵的两个正交子空间;以特征在两个子空间内的投影比值为指标,对辐射源信号样本是否为已知做判决.在3个数据集上的仿真表明,Open-MUSIC算法的性能在电磁数据集上较其他方法提升了3%以上.