电力行业Web应用兼容性测试
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摘要
随着电网业务运行和资产管理系统自动化不断发展,众多基于Web应用的信息通信系统被搭建。实际电网运行环境中,基于Web应用的业务系统由不同软件厂商开发,导致对不同浏览器版本和系统配置的支持程度不同。为确保Web应用能在不同环境下正常运行,文章提出一种基于图像特征相似度的电力Web应用兼容性测试方法。针对现有的图像相似度评价方法存在精度不足或测试成本高等问题,提出的方法可以有效节省测试成本,通过对实验结果进行分析,该方法提高了浏览器兼容性测试性能,并能有效支撑电力行业的发展。
With the rapid development of the power grid business operation and asset management system automation, various web-based information and communication systems were constructed. In the actual grid operating environment, since the web-based business systems are developed by different software vendors, which may result in varying degrees of support for different browser versions and system configurations. In order to ensure the normal operation of web application in different environments, an electric enterprise web application compatibility test method based on image feature similarity is proposed to improve the accuracy and reduce test costs, these drawbacks are in the existing methods of image similarity evaluation. Through the analysis of the experimental results, the proposed method improves the performance of browser compatibility testing, and can effectively support the development of electric power industry.
With the rapid development of the power grid business operation and asset management system automation, various web-based information and communication systems were constructed. In the actual grid operating environment, since the web-based business systems are developed by different software vendors, which may result in varying degrees of support for different browser versions and system configurations. In order to ensure the normal operation of web application in different environments, an electric enterprise web application compatibility test method based on image feature similarity is proposed to improve the accuracy and reduce test costs, these drawbacks are in the existing methods of image similarity evaluation. Through the analysis of the experimental results, the proposed method improves the performance of browser compatibility testing, and can effectively support the development of electric power industry.
引文
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[2]CAO Junwei,YANG Mingbo.Energy Internet-Towards smart grid 2.0[C]//Proceedings of the Fourth International Conference on Networking and Distributed Computing,Hong Kong,China:IEEE,2013:105-110.
[3]刘涵,郑秋云.基于B/S结构的电力通信网络管理系统设计与实现[J].自动化与仪器仪表,2016(12):137-138.LIU Han,ZHENG Qiu-yun.The designing and realization of power communication management system based on B/Sframework[J].Automation&Instrumentation,2016(12):137-138.
[4]吴小东,裴颂文.面向浏览器不兼容性的自动化测试的研究[J].计算机应用与软件,2016,33(3):14-17.WU Xiao-dong,PEI Song-wen.Research on automated testing for incompatibility of cross-browser[J].Computer Applications and Software,2016,33(3):14-17.
[5]吕彬,胡芬霞,周俊.运营商面向移动互联网的产品用户体验研究[J].电信技术,2014(3):12-14.LV Bin,HU Fen-xia,ZHOU Jun.Research on user experience of operator product for mobile Internet[J].Telecommunications Technology,2014(3):12-14.
[6]SHEIKH H R,BOVIK A C.Image information and visual quality[J].IEEE Trans.Image Process.,2006,15(2):430-444.
[7]WANG Z,BOVIK A C,SHEIKH H R,et al.Image quality assessment:From error visibility to structural similarity[J].IEEETrans.Image Process.,2004,13(4):600-612.
[8]WANG Z,SIMONCELLI E P,BOVIK A C.Multi-scale structural similarity for image quality assessment[C]//Proc.IEEEAsilomar Conf.Signals,Syst.Comput.,Monterey,America,2003:1398-1402.
[9]LI C F,BOVIK A C.Three-component weighted structural similarity index[C]//Proceedings of SPIE Image Quality and System Performance VI,2009:72420Q.
[10]SAMPAT M P,WANG Z,SHALINI G,et al.Complex wavelet structural simi-larity:A new image similarity index[J].IEEETrans.on Image Proc.,2009,18(11):2385-2401.
[11]ZHANG L,ZHANG L,MOU X Q,et al.Complex wavelet structural simi-larity:A new image similarity index[J].IEEETrans.on Image Proc.,2011,20(8):2378-2386.
[12]YANG C,KWOK S H..Efficient gamut clipping for color image processing using LHS and YIQ[J].Opt.Eng.,2003,42(3):701-711.
[13]LEE J,R.HARALICK M,SHAPIRO L G.Morphologic edge detection[J].IEEE Journal of Robotics&Automation,1987,3(2):142-156.
[14]Jne B,HAUBECKER H,GEIBLER P.Handbook of computer vision and applications[M].New York:Academic press,1999.
[15]PONOMARENKO N,LUKIN V,ZELENSKY A,et al.TID2008-A database for evaluation of full-reference visual quality assessment metrics[J].Advances of Modern Radioelectronics,2009,10(4):30-45.
[16]CHARRIER C,KNOBLAUCH K,MOORTHY A K,et al.Comparison of image quality assessment algorithms on compressed images[C]//Proceedings of SPIE-IS&T Electronic Imaging Image Quality and System Performance VII,2010:75290B.