J2ME技术在移动终端上的研究和应用

随着移动通信技术的飞速发展,移动业务也从最初的通话、短消息等基本服务向更加丰富和复杂的功能演进,如：移动浏览、游戏娱乐、移动商务、视频服务、位置服务等。J2ME是一个移动终端运行和开发的统一Java平台,提供对越来越多的移动应用的支持。     

信息产业所面临的问题及解决对策

近年来我国信息产业取得了巨大成就 ,但发展基础相对传统 ,与发达国家相比还有较大差距。存在着核心技术自主化薄弱 ,结构不尽合理 ,市场占有率较低等问题。应注重软件的开发 ,并建立大型数据库 ,设立风险基金和普及基金 ,并发挥企业协会的作用 ,为信息企业创造良好的外部环境     

软件可靠性学科发展现状及展望

软件可靠性工程的发展主要是在信息技术、可靠性工程、用户需求等综合因素的作用下形成和发展起来的。本文简要回顾软件可靠性学科的三个阶段的发展 ,侧重阐述软件可靠性工程的形成及特征 ,并提出软件可靠性工程发展中需解决的问题     

Optimum release time of a software under periodic debugging schedule

In this paper, we study the problem of finding the optimal release time of a software meant to be marketed over a finite time horizon. The optimal design scheme considers reduction of the whole cost, achievement of a specified reliability with some high probability, or a combination of the both. We assume that the software is debugged periodically and the bug detection rates in the pre-release and post-release periods are different. We derive the optimal solution in each case. We also demonstrate the utility of the results through simulations, leading to different types of graphs showing the relationship between the target reliability, specified budget and the optimal number of additional debugging periods.     

Discussion

A number of studies have investigated the numerical reliability of the GAUSS Mathematical and Statistical System by Aptech Inc. Those studies identified several critical accuracy errors for different computational methods. We conducted comprehensive tests of this widely used package on estimation, statistical distributions, and random number generation and found that GAUSS 8.0 still has serious problems, especially with statistical distributions and random number generation.     

Filtering and the EM-Algorithm for the Markovian Arrival Process

In this article, we deal with the so-called Markovian Arrival Process (MAP). An MAP is thought of as a partially observed Markov process, so that the Expectation-Maximization (EM) algorithm is a natural way to estimate its parameters. Then, nonlinear filters of basic statistics related to the MAP must be computed. The forward–backward principle is the basic way to do it. Here, bearing in mind a filter-based formulation of the EM-algorithm proposed by Elliott, these filters are shown to be the solution of nonlinear stochastic differential equations (SDEs) which allows a recursive computation. This is well suited for processing large data sets. We also derive linear SDEs or Zakai equations for the so-called unnormalized filters.     

Determining the optimal allocation of testing resource for modular software system using dynamic programming

Abstract

Reliability is a major concern in the process of software development because unreliable software can cause failure in the computer system that can be hazardous. A way to enhance the reliability of software is to detect and remove the faults during the testing phase, which begins with module testing wherein modules are tested independently to remove a substantial number of faults within a limited resource. Therefore, the available resource must be allocated among the modules in such a way that the number of faults is removed as much as possible from each of the modules to achieve higher software reliability. In this article, we discuss the problem of optimal resource allocation of the testing resource for a modular software system, which maximizes the number of faults removed subject to the conditions that the amount of testing-effort is fixed, a certain percentage of faults is to be removed and a desired level of reliability is to be achieved. The problem is formulated as a non linear programming problem (NLPP), which is modeled by the inflection S-shaped software reliability growth models (SRGM) based on a non homogeneous Poisson process (NHPP) which incorporates the exponentiated Weibull (EW) testing-effort functions. A solution procedure is then developed using a dynamic programming technique to solve the NLPP. Furthermore, three special cases of optimum resource allocations are also discussed. Finally, numerical examples using three sets of software failure data are presented to illustrate the procedure developed and to validate the performance of the strategies proposed in this article. Experimental results indicate that the proposed strategies may be helpful to software project managers for making the best decisions in allocating the testing resource. In addition, the results are compared with those of Kapur et al. (2004), Huang and Lyu (2005), and Jha et al. (2010) that are available in the literature to deal the similar problems addressed in this article. It reveals that the proposed dynamic programming method for the testing-resource allocation problem yields a gain in efficiency over other methods.     

计算机校对文稿的技术难点及解除

本文对期刊编辑在利用互联网实现编辑自动化中出现的诸多问题进行了科学分析 ,并对工作中常见的技术难点提出了解决方法 ,对实际工作具有重要意义     

Project‐Level Reuse Factors: Drivers for Variation within Software Development Environments*

Systematic reuse can dramatically improve software development productivity and quality even though a software reuse methodology may require substantial investments. Some projects may fail to achieve the targeted amounts of reuse within organizations that are overall successful in employing reuse. To explain such variation, this research explores the effects of project‐level factors in the success of software reuse. A model that relates project factors to project reuse success is developed using an information‐rich case study approach. The results are based on the insights obtained in a nominal group technique session, triangulated with structured interviews and comparative case studies. Success factors identified by the study relate to client influence, project culture, project attributes, and developer reuse experience. An organization that can successfully identify the factors affecting potential software reuse will be able to better target investments for the improvement of its reuse methodology and thus positively affect its software development productivity and quality.