[1]王华,李长云,魏秋彦,等. 运行时基于模型的软件动态演化良性建模方法[J].计算机技术与发展,2015,25(05):74-77.
 WANG Hua,LI Chang-yun,WEI Qiu-yan,et al. A Benign Modeling Method of Software Dynamic Evolution Based on Model in Run Time[J].,2015,25(05):74-77.
点击复制

 运行时基于模型的软件动态演化良性建模方法()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年05期
页码:
74-77
栏目:
智能、算法、系统工程
出版日期:
2015-05-10

文章信息/Info

Title:
 A Benign Modeling Method of Software Dynamic Evolution Based on Model in Run Time
文章编号:
1673-629X(2015)05-0074-04
作者:
 王华;李长云;魏秋彦;周玲芳
 湖南工业大学 计算机与通信学院
Author(s):
 WANG Hua;LI Chang-yun ;WEI Qiu-yan; ZHOU Ling-fang
关键词:
 上下文感知模型动态演化良性化建模
Keywords:
 context awaremodel dynamic evolution benign modeling
分类号:
TP335
文献标志码:
A
摘要:
 针对软件在开放环境下持续运行时用户需求和操作环境不断改变的特点,以及封闭环境假设下演化操作被预先定义的不足,提出了一种基于模型的软件动态演化良性化建模方法。首先运用上下文模型、需求模型、策略模型及体系结构模型等语义丰富的运行时模型,提出了一种基于模型的框架来支持软件的动态演化,以应对开放环境下不可预料的上下文事件。如果预定义的演化操作不能解决不确定事件,通过以模型为基础的演化规划来引导模型的良性演化,来维护用户高层次的需求。最后通过简单的原型系统展示了建模方法的可行性和通用性。
Abstract:
 Aiming at the characteristics of software users in continuous operation under the open environment requirements and operating environment changing,and closed environment assumption evolution operations are defined in advance, put forward a kind of benign modeling method of software evolution based on dynamic model. First,use of operating context model,demand model,strategy model and system structure model,which are run time model with rich semantics,propose a framework based on model to support the dynamic evo-lution of software,to cope with unpredictable context event in open environment. If the predefined evolution does not solve the uncertain event,guide the healthy evolution of model by evolutionary programming based on model,to maintain high levels of user demand. Final-ly,through a simple prototype system shows the feasibility and generalization of the modeling method.

相似文献/References:

[1]刘威 王汝传 叶宁 马守明.基于本体的上下文感知中间件框架[J].计算机技术与发展,2010,(05):51.
 LIU Wei,WANG Ru-chuan,YE Ning,et al.Context-aware Middleware Framework Based on Ontology[J].,2010,(05):51.
[2]余雪勇,唐城,朱晓荣.泛在网下基于上下文感知的虚拟终端技术研究[J].计算机技术与发展,2013,(06):245.
 YU Xue-yong,TANG Cheng,ZHU Xiao-rong.Research on Virtual Terminal Technology Based on Context-aware in Ubiquitous Network[J].,2013,(05):245.
[3]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(05):1.
[4]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(05):5.
[5]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(05):13.
[6]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(05):21.
[7]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(05):25.
[8]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(05):29.
[9]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(05):34.
[10]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(05):38.

更新日期/Last Update: 2015-06-23