Neural Network Based Test Case Generation for Data-Flow Oriented Testing

Author(s):  
Shunhui Ji ◽  
Qin Chen ◽  
Pengcheng Zhang
2013 ◽  
Vol 791-793 ◽  
pp. 1352-1356
Author(s):  
Xin Zhan Qi ◽  
Chun Sheng Sun ◽  
Yan Hong Dong

In the virtual training simulation software, users through graphical interfaces to fullfill information exchange. By adopting the method of black box testing, treating the virtual training simulation software as a black box and input data to drive the software running, could test the interaction of graphical interface. The test case generation method based on data flow diagram (DFD), which is characterized to form a complete set of test cases and cover the entire path of the program, could improve the efficiency of the test and ensure the reliability of the test results.


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