[1]覃志武,谢晋雄,蔡伊娜,等.基于环境与神经网络的软件自适应建模[J].深圳大学学报理工版,2017,34(6):570-576.[doi:10.3724/SP.J.1249.2017.06570]
　Qin Zhiwu,Xie Jinxiong,Cai Yina,et al.Software adaptive modeling method based on environment and neural network[J].Journal of Shenzhen University Science and Engineering,2017,34(6):570-576.[doi:10.3724/SP.J.1249.2017.06570]
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基于环境与神经网络的软件自适应建模()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第34卷
期数:
2017年第6期
页码:
570-576
栏目:
电子与信息科学
出版日期:
2017-11-20

文章信息/Info

Title:
Software adaptive modeling method based on environment and neural network
文章编号:
201706004
作者:
覃志武1; 谢晋雄1; 蔡伊娜1; 闫毅宣1; 2
1) 深圳市检验检疫科学研究院，广东深圳 518045
2) 河北师范大学数学与信息科学学院，河北石家庄050024
Author(s):
Qin Zhiwu1;  Xie Jinxiong1;  Cai Yi’na1;  and Yan Yixuan1; 2
1) Shenzhen Academy of Inspection and Quarantine, Shenzhen 518045, Guangdong Province, P.R.China
2) College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang 050024, Hebei Province, P.R.China
关键词:
软件工程; 软件自适应; 环境需求; 软件建模; 神经网络; 环境用例预测
Keywords:
software engineering;  software adaptive;  environment requirement;  software modeling;  neural network;  environment use case prediction
分类号:
TP 311
DOI:
10.3724/SP.J.1249.2017.06570
文献标志码:
A
摘要:
软件需求模型的建模是保证软件可靠运行的基础．传统方法在建模过程中对环境需求考虑较少，对环境的变化无法有效识别和合理应对，导致软件生命周期缩短．现有自适应建模过程属于被动感知需求，欠缺对未来可持续发展的需求加以预测和应对，同样无法延长软件生命周期．为了尽可能延长软件生命周期，提高重构开发效率，提出一种针对环境变化的软件自适应建模方法．该方法将软件运行所处环境作为需求单独分析处理，首先识别环境用例，其次构建环境用例并将功能指标进行量化处理，采用BP神经网络预测环境需求变化并作出应对策略．与HAN-YANG-XING模型比较，该方法可主动感知需求，对环境变化进行预测并做出适应性判断，有效延长软件生命周期．
Abstract:
The software requirement model is the basis to improve the development efficiency and ensure the reliable operation. However, the traditional methods can neither distinguish the environment requirements during the modeling process, nor effectively identify and give reasonable response to the environment changes. Meanwhile, the existing software adaptive modeling process belongs to passively sensing requirements and does not effectively predict and deal with future requirements. In order to solve the above-mentioned problems, a novel software adaptive modeling method is proposed to adapt to the environment changes. The method firstly utilizes the software environment in which the software is running as a separate requirement analysis. Then, the environment use case is identified and constructed and the function index is quantified. Finally, the BP neural network is used to predict the change of environment requirements and make the corresponding strategy. Compared with the HAN-YANG-XING model，the proposed method can actively sense requirements，predict the environmental changes and make adaptive judgments，which can effectively extend the software life cycle.

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备注/Memo

备注/Memo:
Received：2017-05-20；Accepted：2017-07-29
Foundation：Science and Technology Project of General Administration of Quality Supervision, Inspection and Quarantine of China (2015IK048,2015IK254); Science and Technology Support Project of Certification and Accreditation Administration of China (2016RJWKJ018); Shenzhen Science and Technology Application Demonstration Project (KJYY201602291416 21130)
Corresponding author：Senior Engineer Cai Yi’na. E-mail: 1530210935@qq.com
Citation：Qin Zhiwu, Xie Jinxiong, Cai Yi’na, et al. Software adaptive modeling method based on environment and neural network［J］. Journal of Shenzhen University Science and Engineering, 2017, 34(6): 570-576.（in Chinese）
基金项目：国家质检总局科技计划资助项目(2015IK048,2015 IK254)；国家认监委认证认可科技支撑计划资助项目(2016RJWKJ018)；深圳市科技应用示范资助项目(KJYY20160229141621130)
作者简介：覃志武(1964—)，男，深圳市检验检疫科学研究院高级工程师. 研究方向：软件工程与应用. E-mail：qzw@szciq.gov.com
引文：覃志武，谢晋雄，蔡伊娜，等. 基于环境与神经网络的软件自适应建模［J］. 深圳大学学报理工版，2017，34(6)：570-576.
更新日期/Last Update: 2017-10-10