Automatic Test Oracle for Image Processing Applications Using Support Vector Machines

被引：0
|
作者：
Jameel, Tahir [1 ]
Lin Mengxiang [1 ]
Chao, Liu [2 ]
机构：
[1] Beihang Univ, State Key Lab Software, Dept Environm, Beijing, Peoples R China
[2] Beihang Univ, Inst Software Engn, Beijing, Peoples R China
来源：
PROCEEDINGS OF 2015 6TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE | 2015年
关键词：
Test Oracle; Testing Imaging Applications; Machine Learning;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Software testing has been a challenging job over the decades and possess more challenges for complex inputs such as images. While evaluating correctness of the output images, there may exist a large number of correct or incorrect images with insignificant differences. A test oracle is required to evaluate the correctness of output images which may not be available in most of the cases. Currently, output images are evaluated by domain experts such as medical experts, which involves manual inspection of output images at each step of software development. In this paper, we have proposed a mechanism to automate the test oracle using support vector machine. It requires a few correct and incorrect images for the training and is capable of classification of correct and incorrect output images. For the demonstration purpose, we used different implementations of image dilation and compared the results with statistical oracle and metamorphic testing. The results in our initial experiments are encouraging.
引用
收藏
页码：1110 / 1113
页数：4
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