某型雷达模拟器PPI显示的设计与仿真

为了实现机载雷达训练模拟器人机交互界面,对雷达模拟器PPI显示进行设计.为了获取更逼真的实时显示,首先对雷达模拟器PPI显示的构成进行分析,设计字符显示模块和图形显示模块,然后介绍了模拟器中PPI显示的关键技术问题及解决途径,包括雷达点迹显示、杂波目标显示以及扇扫显示,采用颜色等级亮度不同来显示扫描更新的点迹,用具有某种特定概率密度和自相关函数产生随机数方法来近似仿真杂波目标显示.将改进方法应用于某型机载雷达训练模拟器中,取得了良好效果.     

基于B/S模式的公招考试报名系统设计与实现

针对公招考试的实际需求,以Internet为依托,采用B/S模式结构,开发设计网络在线报名系统。该系统使用J2EE技术,将Struts、Hibernate框架技术和AJAX技术的整合,以MySQL作为数据库服务器,Tomcat作为应用服务器,在实际运行过程中,表现出良好的稳定性、实用性、可拓展性和可维护性。     

基于哈萨克文的辅助教学软件的设计与实现*

随着计算机技术的不断发展,计算机辅助教学得到越来越广泛的应用,因此出现各种计算机辅助教学软件。重点介绍哈萨克文辅助教学软件的设计、工作流程,以及简要说明该辅助教学软件的主要模块及实现方法。     

直觉模糊遗传算法在软件测试中的应用

针对传统软件测试方法工作量大、测试过程重复性高等缺点,本文提出了一种新的软件测试方法,该方法基于直觉模糊理论和遗传算法,利用直觉模糊算法提取每组软件测试序列特征值,再经过遗传算法的选择、交叉和变异操作,获得软件测试序列的组合。实验结果证明：该算法具有隐性并行性和全局寻优能力,可在不降低速度的情况下提高软件测试的精度。     

基于SD卡的单片机软件自更新的实现方法

为了寻求一种简易可行的方法来实现单片机系统软件的现场升级,提出基于SD卡的单片机软件自更新的实现方法。该设计可以使单片机系统在使用中读取预存在SD卡上的编程文件以实现软件更新,从而简化软件更新的操作流程和硬件需求。该设计亦可以用于智能仪器上数据的现场更新与保存。从硬件方面介绍了单片机与SD卡的接口电路设计,从软件方面重点分析了预加载在单片机中的软件更新引导程序的设计。     

基于LASSO-LARS的软件复杂性度量属性特征选择研究

针对软件可靠性早期预测中软件复杂性度量属性维数灾难问题,提出了一种基于最小绝对值压缩与选择方法(The Least Absolute Shrinkage and Select Operator,LASSO)和最小角回归(Least Angle Regression,LARS)算法的软件复杂性度量属性特征选择方法。该方法筛选掉一些对早期预测结果影响较小的软件复杂性度量属性,得到与早期预测关系最为密切的关键属性子集。首先分析了LASSO回归方法的特点及其在特征选择中的应用,然后对LARS算法进行了修正,使其可以解决LASSO方法所涉及的问题,得到相关的复杂性度量属性子集。最后结合学习向量量化(Learning Vector Quantization,LVQ)神经网络进行软件可靠性早期预测,并基于十折交叉方法进行实验。通过与传统特征选择方法相比较,证明所提方法可以显著提高软件可靠性早期预测精度。     

A novel approach to evaluate software vulnerability prioritization

The aim of this study is to formulate an analysis model which can express the security grades of software vulnerability and serve as a basis for evaluating danger level of information program or filtering hazardous weaknesses of the system and improve it to counter the threat of different danger factors. Through the utilization of fuzzy analytic hierarchy process (FAHP), we will organize the crossover factors of the software blind spots and build an evaluation framework. First of all, via the fuzzy Delphi method the aspects and relative determinants affecting security will be filtered out. Then we will identify the value equation of each factor and settle down the fuzzy synthetic decision making model of software vulnerability. Thanks to this model we will be able to analyze the various degrees to which the vulnerability is affecting the security and this information will serve as a basis for future ameliorations of the system itself. The higher the security score obtained therefore imply securer system. Beside this, this study also propose an improvement from the traditional fuzzy synthetic decision making model for measuring the fuzziness between enhancement and independence of various aspects and criteria. Furthermore taking into consideration the subjectivity of human in reality and constructing the fuzzy integral decision making model. Through case study, we show that the evaluation model in question is practical and can be applied on the new software vulnerabilities and measure their degree of penetration. The fuzzy integral decision making emphasize through formulation the multiply-add effect between different factors influencing information security.     

A decision support framework for metrics selection in goal-based measurement programs: GQM-DSFMS

Software organizations face challenges in managing and sustaining their measurement programs over time. The complexity of measurement programs increase with exploding number of goals and metrics to collect. At the same time, organizations usually have limited budget and resources for metrics collection. It has been recognized for quite a while that there is the need for prioritizing goals, which then ought to drive the selection of metrics. On the other hand, the dynamic nature of the organizations requires measurement programs to adapt to the changes in the stakeholders, their goals, information needs and priorities. Therefore, it is crucial for organizations to use structured approaches that provide transparency, traceability and guidance in choosing an optimum set of metrics that would address the highest priority information needs considering limited resources. This paper proposes a decision support framework for metrics selection (DSFMS) which is built upon the widely used Goal Question Metric (GQM) approach. The core of the framework includes an iterative goal-based metrics selection process incorporating decision making mechanisms in metrics selection, a pre-defined Attributes/Metrics Repository, and a Traceability Model among GQM elements. We also discuss alternative prioritization and optimization techniques for organizations to tailor the framework according to their needs. The evaluation of the GQM-DSFMS framework was done through a case study in a CMMI Level 3 software company.     

The lean gap: A review of lean approaches to large-scale software systems development

Lean approaches to product development (LPD) have had a strong influence on many industries and in recent years there have been many proponents for lean in software development as it can support the increasing industry need of scaling agile software development. With it's roots in industrial manufacturing and, later, industrial product development, it would seem natural that LPD would adapt well to large-scale development projects of increasingly software-intensive products, such as in the automotive industry. However, it is not clear what kind of experience and results have been reported on the actual use of lean principles and practices in software development for such large-scale industrial contexts. This was the motivation for this study as the context was an ongoing industry process improvement project at Volvo Car Corporation and Volvo Truck Corporation.     

软件需求开发与管理过程研究

针对软件开发过程中如何有效地实施需求开发与需求管理的工作．从信息需求模型与信息寻求行为,到软件需求层次,再从需求工程的领域深入探讨需求开发与需求管理的工作。基于实践提出一套需求开发和管理的过程。