[1]蒋超,黄松,惠战伟.图像区域增长程序的蜕变测试框架[J].计算机技术与发展,2019,29(04):63-67.[doi:10. 3969 / j. issn. 1673-629X. 2019. 04. 013]
 JIANG Chao,HUANG Song,HUI Zhan-wei.Metamorphic Testing Framework for Image Region Growth Applications[J].,2019,29(04):63-67.[doi:10. 3969 / j. issn. 1673-629X. 2019. 04. 013]
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图像区域增长程序的蜕变测试框架()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年04期
页码:
63-67
栏目:
智能、算法、系统工程
出版日期:
2019-04-10

文章信息/Info

Title:
Metamorphic Testing Framework for Image Region Growth Applications
文章编号:
1673-629X(2019)04-0063-05
作者:
蒋超1黄松12惠战伟12
1. 陆军工程大学 指挥控制工程学院,江苏 南京 210007;2. 全军军事训练软件测评中心,江苏 南京 210007
Author(s):
JIANG Chao1HUANG Song12HUI Zhan-wei12
1. Institute of Command Control Engineering,Army Engineering University of PLA,Nanjing 210007,China;2. PLA Military Software Testing and Evaluation Center,Nanjing 210007,China
关键词:
图像区域增长测试框架蜕变关系蜕变测试
Keywords:
image region growthtest frameworkmetamorphic relationmetamorphic testing
分类号:
TP31
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 04. 013
摘要:
图像区域增长是图像处理技术研究的热点问题,是图像分割的重要手段。图像处理软件的测试面临测试判定难题,当前其结果判定主要由领域专家依赖其经验完成,其准确性无法保证并且效率低下。蜕变测试技术有效缓解了测试判定问题,并且已成功应用于诸多领域,但是当前蜕变测试过程存在一定的随意性和盲目性。为了提高测试效率、规范测试流程,提出了适用于图像区域增长程序的蜕变测试框架。该框架包括原始测试用例的自动生成、区域增长程序自动执行、测试结果自动判定和测试有效性度量等模块,并且给出了每个模块的具体实现方法,具有很好的实践指导意义。通过实际软件测试工程项目,验证了该测试框架的合理性和有效性,同时规范了测试流程,提高了测试效率,保证了测试质量。
Abstract:
Image region growth is a hot issue in image processing technology and also an important means of image segmentation. The testing of the image processing software confronts with the test oracle problem. At present,the result validation mainly depends on the experience of the domain experts,and its accuracy cannot be guaranteed and the efficiency is comparatively low. The metamorphic testing method effectively alleviates the oracle problem,and has been successfully applied to many fields,but the current testing process has certain randomness and blindness. In order to improve test efficiency and standardize the testing process,we propose a metamorphic testing framework that is suitable for image region growth program. This framework includes automatic generation of original test cases,automatic execution of image region growth program,automatic validation of test results,and testing effectiveness metrics. The specific implementation method of each module is given,which has great practical guidance significance. Through the actual software test project, the rationality and effectiveness of the test framework are verified. At the same time,the test flow is standardized,the efficiency of the test is improved and the quality of the test is guaranteed.

相似文献/References:

[1]陈磊,简炜,李征宇,等.自动化WEB系统稳定性测试框架研究[J].计算机技术与发展,2013,(03):231.
 CHEN Lei,JIAN Wei,LI Zheng-yu,et al.Research on Automotive Stability Testing Framework for WEB System[J].,2013,(04):231.

更新日期/Last Update: 2019-04-10