PowerPC计算机系统级速度影响因素的研究

PowerPC处理器是目前使用最广泛的RISC处理器,设计基于PowerPC处理器高性能计算机的要求十分迫切。计算机系统结构中影响系统级速度的最主要因素为Cache状态、硬件等待数、编译系统以及操作系统。通过在基于PowerPC处理器的被测系统上使用典型算例,针对以上四个因素进行测试和研究,得到了硬件等待数、Cache状态、编译系统以及操作系统对系统级速度影响的数据,并给出测试结论和系统架构的设计建议。     

过程质量管理实践的组合应用

随着项目的复杂度日趋复杂,设计及实现的重构日趋频繁。项目对质量管理的要求也越来越高。项目质量管理所涉及的内容是多方面的,本文根据实践积累,结合作者所管理项目的质量提升过程,讲述了几种项目过程质量管理方法的组合应用,并对项目质量管理工作的一些心得及经验进行了总结。     

基于C#的打字测试软件研究与开发

信息时代下,掌握和熟练操作计算机成为社会对现代人的基本要求.文字录入的快慢在一定程度上影响着工作效率.开发一套较完善的打字测试软件来公平公正的考核学生的打字水平成为必要.基于C#语言开发的打字测试软件具有界面简捷、组织测试方便、评分精确合理、成绩回收容易、统计成绩方便.学生水平分析准确等优点.     

Petri网与数字系统设计

日益复杂的数字系统设计,须由各种专业的设计人员分工完成。他们之间需要一种描述系统的“共同语言”来沟通,这对于提高设计质量、缩短设计周期、减少设计费用具有积极意义。Petri网十分适合担任这一“共同语言”的角色。文章给出了数字电路测试仪器中的硬件设计的部分实例。     

电刷摩擦系数测量

本文介绍电刷摩擦系数的测量装置－电刷试验转台。由正压力给定系统测量电刷的正压力,力矩反馈系统测量摩擦力对旋转中心产生的转矩,游标尺测量电刷至旋转中心距离,从而得出摩擦力。摩擦力除以正压力即摩擦系数。文中给出二个测量系统之测试结果。     

MLATSO: A method for task scheduling optimization in multi-load AGVs-based systems

In the context of increasingly competitive intelligent manufacturing, the multi-load Automated guided vehicles (AGVs) based Automated Storage and Retrieval System (AS/RS) has been of particular interest, as reductions in the number of AGVs required can significantly decrease potential congestions and increase the system effectiveness. In comparison with the single-load AGVs system, more difficult and critical issue of scheduling multi-load AGVs to automate storage/retrieval missions and to maximize economic benefits remains unresolved. Therefore, we propose a task scheduling optimization method for multi-load AGVs-based systems, with which, the objectives of least number of occupied AGVs, shortest travel time and minimum conflicts can be met simultaneously. The experiments are conducted in various scenarios, and verify that our work can use fewer AGVs to optimize tasks delivery, which enables the AS/RS stakeholders to reach win-win results for system performance and AGVs investment, thus maximizing economic benefit.     

MC/DC Test Data Generation Algorithm Based on Whale Genetic Algorithm

The automatic generation of test data is a key step in realizing automated testing. Most automated testing tools for unit testing only provide test case execution drivers and cannot generate test data that meets coverage requirements. This paper presents an improved Whale Genetic Algorithm for generating test data required for unit testing MC/DC coverage. The proposed algorithm introduces an elite retention strategy to avoid the genetic algorithm from falling into iterative degradation. At the same time, the mutation threshold of the whale algorithm is introduced to balance the global exploration and local search capabilities of the genetic algorithm. The threshold is dynamically adjusted according to the diversity and evolution stage of current population, which positively guides the evolution of the population. Finally, an improved crossover strategy is proposed to accelerate the convergence of the algorithm. The improved whale genetic algorithm is compared with genetic algorithm, whale algorithm and particle swarm algorithm on two benchmark programs. The results show that the proposed algorithm is faster for test data generation than comparison methods and can provide better coverage with fewer evaluations, and has great advantages in generating test data.     

Test Case Prioritization in Unit and Integration Testing: A Shuffled-Frog-Leaping Approach

Both unit and integration testing are incredibly crucial for almost any software application because each of them operates a distinct process to examine the product. Due to resource constraints, when software is subjected to modifications, the drastic increase in the count of test cases forces the testers to opt for a test optimization strategy. One such strategy is test case prioritization (TCP). Existing works have propounded various methodologies that re-order the system-level test cases intending to boost either the fault detection capabilities or the coverage efficacy at the earliest. Nonetheless, singularity in objective functions and the lack of dissimilitude among the re-ordered test sequences have degraded the cogency of their approaches. Considering such gaps and scenarios when the meteoric and continuous updations in the software make the intensive unit and integration testing process more fragile, this study has introduced a memetics-inspired methodology for TCP. The proposed structure is first embedded with diverse parameters, and then traditional steps of the shuffled-frog-leaping approach (SFLA) are followed to prioritize the test cases at unit and integration levels. On 5 standard test functions, a comparative analysis is conducted between the established algorithms and the proposed approach, where the latter enhances the coverage rate and fault detection of re-ordered test sets. Investigation results related to the mean average percentage of fault detection (APFD) confirmed that the proposed approach exceeds the memetic, basic multi-walk, PSO, and optimized multi-walk by 21.7%, 13.99%, 12.24%, and 11.51%, respectively.     

Building on the past to help prepare the workforce for the future with automated vehicles: A systematic review of automated passenger vehicle deployment timelines

A variety of stakeholders have put forth automated vehicle (AV) deployment timeline predictions over the past decade. To synthesize these predictions, we performed a systematic literature review of past and current AV deployment timeline predictions in the United States from different stakeholder groups, including private stakeholders, government organizations, and research organizations. Our analysis revealed that none of the AV mass deployment timelines from any stakeholder group have been met. It also shows discrepancies between timelines put forth by private and public stakeholders, with the private sector being more optimistic in their predictions. Accurate timelines are needed so regulators are able to create appropriate public policies and comprehensive budgets, and private stakeholders can make better informed decisions. More specifically, the mass deployment of AVs is anticipated to affect many transportation-related jobs which reinforces the importance of accurate AV deployment timelines to prepare the workers who may be displaced and for the development of workforce education and training initiatives.     

电路板级自动测试系统的设计及其应用

针对雷达电路板具有复杂多样以及维护困难大的特点,本文介绍了一种面向信号测试的电路板级自动测试系统的开发过程,重点描述了系统软件平台框架搭建和TPS可视化开发运行平台的设计以及具体应用。运行实践表明,测试策略和测试流程的可视化编程,极大地提高了雷达电路板的维修效率。