TANGO3.12 PCB库文件结构分析

本文详细介绍了TANGO3.12 PCB库文件数据结构。这些资料均反复验证,可供TANGO的使用者参考,实现高层次的应用。     

TANGO3.12版PCB库文件结构分析

本文详细介绍了ＴＡＮＧＯ３．１２版ＰＣＢ库文件数据结构，这些资料的经反复验证，可供ＴＡＮＧＯ软件的使用者参考，实现高层次的应用。     

分层式多处理机体系结构

本文介绍一种多处理机体系结构,它提供了一种灵活和高性能系统。该设计中各处理单元可连成一分层结构,系统软件支持可供所有处理单元使用的虚内存。为此,通信的基本形式是通过一共享的数据结构实现的。     

面向 Web 的 PDF 文档构建技术

介绍利用Web技术进行PDF文档构建的策略方法,探讨PDF文档构建中水印生成技术、表格标题头处理技术、大数据流数据结构设计、表格文本块动态分割技术、分页控制技术等。设备管理Web系统的应用实践表明,PDF文档构建技术精巧,为类似的应用系统提供可供借鉴的解决方案。     

数据结构的定义及其相关术语

讨论了数据结构课程中数据结构的概念和使用的术语,说明了术语＂集合＂与＂聚集＂的差异,并对数据结构的构成进行了分析。最后提出了一种新的关于数据结构的定义的建议。     

《数据结构》客观题自测平台的设计与实现

《数据结构》客观题自测平台是为作者所在学校开设的“数据结构”课程而设计开发的。此平台可以有效提升学生对《数据结构》知识点的掌握,减少教师组织测试的次数与精力,提升了学生对“数据结构”课程学习的效率。     

数据结构可视化类库的设计与实现

本工作室开发的数据结构可视化类库(JVDSCL,Visual Data Structures Class Library in Java)将可视化技术引入数据结构类库,实现了数据结构可视化。介绍了对数据结构类的可视化扩充方法,给出了实现各种数据结构可视化布局算法的基本框架。JVDSCL可以应用在程序调试和软件开发,提高软件的可视性、重用性与开发效率。     

一种面向动态链状数据结构的指针定值引用链算法

采用流敏感的方法分析计算过程内操作动态链状数据结构的指针定值引用链.目的是连接对链状数据结构进行定值的语句和引用这些链状数据结构的语句,具体地,每条对链状数据结构进行定值的语句,算法将找出所有引用被该语句定值的链状数据结构的语句的集合.该算法将被整合到我们设计和开发的并行语言mini-SPC中,指导对操作动态链状数据结构的并行程序的正确分析和程序变换.实验表明基于本文的算法能保证操作动态链状数据结构的指针定值引用链的分析精度,提高分析的效率.     

多边形叠置分析算法研究

在二维GIS系统中经常需要对图层中的多边形进行叠置分析,为了有效地分析不同系统提供的多边形图层数据,论文研究了地理信息系统中表示多边形图层的两种数据结构——简单数据结构和拓扑数据结构,以及分别适用于这两种情况的多边形叠置算法。拓扑数据结构下的算法现在已经很成熟,论文重点介绍简单数据结构情况下的算法。     

“数据结构”课程学习方法的探讨

文章结合“数据结构”课程教学的经验,总结了教学难点,并在此基础上,对抽象数据类型定义和数据结构算法的教学进行了研究和探讨,提出了数据结构的抽象数据类型定义的“四步法”和数据结构算法的“图形化”教学方法,并针对数据结构算法实现中的常见问题进行了分析。这些方法在教学实践中取得了良好的效果。     

Thermo-Calc & DICTRA,computational tools for materials science

Software for calculation of phase diagrams and thermodynamic properties have been developed since the 1970's. Software and computers have now developed to a level where such calculations can be used as tools for material and process development. In the present paper some of the latest software developments at Thermo-Calc Software are presented together with application examples. It is shown how advanced thermodynamic calculations have become more accessible since:

• •—|A more user-friendly windows version of Thermo-Calc, TCW, has been developed.
• •—|There is an increasing amount of thermodynamic databases for different materials available.
• •—|Thermo-Calc can be accessed from user-written software through several different programming interfaces are available which enables access to the thermodynamic software from a user-written software. Accurate data for thermodynamic properties and phase equilibria can then easily be incorporated into software written in e.g. C++, Matlab and FORTRAN.

Thermo-Calc Software also produces DICTRA, a software for simulation of diffusion controlled phase transformations. Using DICTRA it is possible to simulate processes such as homogenization, carburising, microsegregation and coarsening in multicomponent alloys. The different models in the DICTRA software are briefly presented in the present paper together with some application examples.     

On the challenges of open-sourcing proprietary software projects

The open source software (OSS) movement has become widely recognized as an effective way to deliver software. Even big software companies, well-known for being restrictive when it comes to publishing their source code artifacts, have recently adopted open source initiatives and released for general use the source code of some of their most notable products. We conducted an exploratory study on merits of the widespread belief that open-sourcing a proprietary software project will attract external developers, like casual contributors, and therefore improve software quality (e.g., “given enough eyeballs, all bugs are shallow”). By examining the pre- and post-migration software history of eight active, popular, non-trivial proprietary projects that became open source, we characterize the phenomenon and identify some challenges. Contrary to what many believe, we found that only a few projects experienced a growth in newcomers, contributions, and popularity; furthermore, this growth does not last long. The results from the study can be useful for helping software companies to better understand the hidden challenges of open-sourcing their software projects to attract external developers.     

libMesh : a C++ library for parallel adaptive mesh refinement/coarsening simulations

In this paper we describe the libMesh (http://libmesh.sourceforge.net) framework for parallel adaptive finite element applications. libMesh is an open-source software library that has been developed to facilitate serial and parallel simulation of multiscale, multiphysics applications using adaptive mesh refinement and coarsening strategies. The main software development is being carried out in the CFDLab (http://cfdlab.ae.utexas.edu) at the University of Texas, but as with other open-source software projects; contributions are being made elsewhere in the US and abroad. The main goals of this article are: (1) to provide a basic reference source that describes libMesh and the underlying philosophy and software design approach; (2) to give sufficient detail and references on the adaptive mesh refinement and coarsening (AMR/C) scheme for applications analysts and developers; and (3) to describe the parallel implementation and data structures with supporting discussion of domain decomposition, message passing, and details related to dynamic repartitioning for parallel AMR/C. Other aspects related to C++ programming paradigms, reusability for diverse applications, adaptive modeling, physics-independent error indicators, and similar concepts are briefly discussed. Finally, results from some applications using the library are presented and areas of future research are discussed.     

Code Analysis for Software and System Security Using Open Source Tools

ABSTRACT

Software security helps in identifying and managing risks. One of the effective ways to identify software vulnerabilities is to analyze its code. Code analysis (Chess & West, 2007 Chess, B. and West, J. 2007. Secure programming with static analysis, Boston, MA: Addison-Wesley.  [Google Scholar]) helps in catching common coding mistakes such as buffer overflow, unused variables, memory leaks, and various race conditions, which in turn optimizes computer programs, both in storage and computation aspects. Software developers use either open source tools or commercial tools for verification and validation of software. Without proper validation of a software/system using some standard guidelines, potential attackers can find ways to exploit vulnerabilities and bugs and then can gain control over a system, if they are successful. In this paper, we discuss some of the open source static code analysis and dynamic analysis tools, their merits, and limitations with respect to some target codes that contain possible threats. We consider C/C++ and Java programming languages for our experiments. For static code analyzers, we consider Flawfinder, Splint, and Cppcheck; PMD, Findbugs, and Valgrind for dynamic code analysis, and its plug-in, Memcheck, to perform dynamic analysis on executables. We provide our observations in a comparison table, highlighting these tools strengths and weaknesses.     

Systems programming for data communications on minicomputers

This paper examines some of the special considerations which apply to the development of such software for minicomputers. These are treated under the following general categories:

• loading and throughput
• the external interfaces of the system software
• the internal structure of the system software
• developing the software

.     

<Emphasis Type="Italic">Essence</Emphasis>: facilitating software innovation

This paper suggests ways to facilitate creativity and innovation in software development. The paper applies four perspectives – Product, Project, Process, and People – to identify an outlook for software innovation. The paper then describes a new facility – Software Innovation Research Lab (SIRL) – and a new method concept for software innovation – Essence – based on views, modes, and team roles. Finally, the paper reports from an early experiment using SIRL and Essence and identifies further research.     

Software cost estimation based on modified <Emphasis Type="Italic">K</Emphasis>-Modes clustering Algorithm

Unsupervised technique like clustering may be used for software cost estimation in situations where parametric models are difficult to develop. This paper presents a software cost estimation model based on a modified K-Modes clustering algorithm. The aims of this paper are: first, the modified K-Modes clustering which is an enhancement over the simple K-Modes algorithm using a proper dissimilarity measure for mixed data types, is presented and second, the proposed K-Modes algorithm is applied for software cost estimation. We have compared our modified K-Modes algorithm with existing algorithms on different software cost estimation datasets, and results showed the effectiveness of our proposed algorithm.