试论依托软件园发展我国软件产业的战略意义

国内外的实践表明,依托软件园集中发展软件业是加快软件业发展的捷径.软件园作为高技术产业集聚区,其优惠的政策、非正式交流的可能、产品互补及企业衍生、资源共享、有利于互相联合等优势是其他发展形式所不可取代的,也是加速发展软件园的重要依据.     

A Computer Program to Improve LR Tests for Generalized Linear Models

Generalized linear models enable the fitting of models to a wide range of data types. These models are based on exponential dispersion distributions. Improved likelihood ratio tests for these models were developed by Cordeiro (1983 Cordeiro , G. M. (1983). Improved likelihood ratio statistics for generalized linear models. Journal of the Royal Statistical Society, Series B: Methodological 45:404–413. [Google Scholar])Cordeiro (1987 Cordeiro , G. M. ( 1987 ). On the corrections to the likelihood ratio statistics . Biometrika 74 : 265 – 274 .[Crossref], [Web of Science ®] , [Google Scholar]). We present a simple R program source for calculating Bartlett corrections to improve likelihood ratio tests in these models. The program was tested on some special models, confirming all of the previously reported numerical results for the Bartlett corrections.     

中国软件外包产业国际竞争力分析

受当前全球金融危机的影响,中国软件外包企业普遍承受巨大的订单减少和财务压力。借用逐步回归原理,检验中国软件外包产业的国际竞争力水平以及影响其竞争力的决定因素。研究表明,中国软件外包产业总体竞争力较弱,市场竞争结构是影响中国软件外包国际竞争力的决定因素,政府应采取相应措施提升中国软件外包产业的竞争力。     

商业软件专利化问题研究

软件版权保护与专利保护存在巨大差异,目前中国并没有实现对软件的实质性保护,只限于版权范畴。美欧日对商业软件专利化研究已经超越是否予以保护的基础性问题,而是潜心于如何最合理认定商业软件专利化的技术认定标准问题,甚至正在启动联合专利直通车的跨国计划。在中国国内技术竞争和美欧日软件专利化大幅革新的推动下,软件专利法议题开始纳入中国专利法修改的考量之列。如果熟悉关欧目的立法现状和认定方法,就会对中国市场上的创意保护及开源软件的相关争议有所释解。可以预见的,中国对商业软件提供实质保护具有重大的创新意义。     

机器人实验教学平台软件的设计与实现

机器人技术已成为国际学术界关注的一项热点问题。开发机器人实验课程,让研究生接触到国际先进的机器人具有重要意义。现有实验用机器人不具备可操作的人机交互接口,造成实验过程中要编写大量的底层代码,浪费了宝贵的时间。针对此问题,设计并实现了一套移动机器人直接控制实验平台软件,提高了课程时间的利用效率,增强了课程的可扩展性。同时将学生的精力集中在控制算法的开发与实现过程,达到了研究生实验课的培养目的。     

外包对中国软件业国际竞争力影响的计量分析

以显示比较优势系数（RCA）作为反映国际竞争力的核心指标,以外包指数和市场集中度为解释变量,实证分析了外包对中国软件产业国际竞争力的影响。实证结果表明,外包对中国软件产业的发展有显著的促进作用。论文还以实证分析的结论为依据,提出了加强软件开发能力、提高软件产业集中度等政策建议。     

软件测试课程教学改革刍议

软件测试是计算机专业本科教学体系中的重要课程,在工程实践中发挥着重要作用。基于工科院校计算机专业特点,引入某些课外数学知识作为课堂内容的延伸与补充,并在教学大纲允许的范围内合理调整时间安排,对激发学生兴趣、改善教学效果具有重要意义。     

L-moments of the Birnbaum–Saunders distribution and its extreme value version: estimation,goodness of fit and application to earthquake data

Understanding patterns in the frequency of extreme natural events, such as earthquakes, is important as it helps in the prediction of their future occurrence and hence provides better civil protection. Distributions describing these events are known to be heavy tailed and positive skew making standard distributions unsuitable for modelling the frequency of such events. The Birnbaum–Saunders distribution and its extreme value version have been widely studied and applied due to their attractive properties. We derive L-moment equations for these distributions and propose novel methods for parameter estimation, goodness-of-fit assessment and model selection. A simulation study is conducted to evaluate the performance of the L-moment estimators, which is compared to that of the maximum likelihood estimators, demonstrating the superiority of the proposed methods. To illustrate these methods in a practical application, a data analysis of real-world earthquake magnitudes, obtained from the global centroid moment tensor catalogue during 1962–2015, is carried out. This application identifies the extreme value Birnbaum–Saunders distribution as a better model than classic extreme value distributions for describing seismic events.     

知识转移绩效影响因素的实证研究——以软件行业为例

在总结国内外已有相关文献的基础上,结合"物理-事理-人理(W-S-R)"系统方法论,对以往学者提出的知识转移的阻碍因素和解决方法进行了归纳,提出并建立了针对组织内部知识转移绩效的影响因素的研究模型.通过向国内软件企业发放问卷的方式对该模型进行了实证研究,在对问卷数据充分分析后,得出了现实中影响我国软件企业知识转移绩效的关键因素和其他一些新颖的结论.     

Measuring open source software success

Since the mid-1990s, there has been a surge of interest among academics and practitioners in open source software (OSS). While there is an abundance of literature on OSS, most studies on OSS success are either qualitative or exploratory in nature. To identify the factors that influence OSS success and establish generalizability, an empirical study measuring OSS success would enable OSS developers and users to improve OSS usage. In this study, we develop an OSS success model from a previous Information Systems success model incorporating the characteristics of OSS. Using the proposed model, we identify five determinants for OSS success as well as a number of significant relationships among these determinants. Our findings demonstrate that software quality and community service quality have significant effects on user satisfaction. Software quality and user satisfaction, in turn, have significant effects on OSS use. Additionally, OSS use and user satisfaction have significant effects on individual net benefits. This research contributes towards advancing theoretical understanding of OSS success as well as offering OSS practitioners for enhancing OSS success.