Design and implementation of bank financial business automation testing framework based on QTP

Author(s):  
Xianjie Xie ◽  
Zhijun Yang ◽  
Jiankun Yu ◽  
Weifeng Zhang
2014 ◽  
Vol 602-605 ◽  
pp. 2142-2146
Author(s):  
Zhong Hai He ◽  
Xiang Zhang ◽  
Xiang Yin Zhu

For the purpose of settling problems in the present automated testing frameworks, the paper presents an automated testing framework based on keyword driven technology. At first, it summarized and analyzed the recent automated testing frameworks; and then it proposed the framework’s system architecture, and also presented the key technology details of the framework. At last, this paper compared this paper’s framework with the recent frameworks by the IP phone, which proved that this framework had superiority in reducing the scale of test scripts, raising the overall efficiency of testing and so on.


2014 ◽  
Vol 556-562 ◽  
pp. 6149-6153
Author(s):  
Min Gang Chen ◽  
Wen Bin Zhong ◽  
Wen Jie Chen ◽  
Yun Hu ◽  
Li Zhi Cai

With the increasingly fast-paced software releasing or updating, research on the method of an efficient software automation testing framework based on cloud computing has become particularly important. In this paper, we propose an automation testing framework over cloud. We also describe some key technologies in the aspect of the design of hierarchical test case and automatic distribution of test cases in the cloud computing environment. Testing experiments show that our framework can take advantage of on-demand testing resources in the cloud to improve the efficiency of automation testing.


2013 ◽  
Vol 12 (4) ◽  
pp. 829-834
Author(s):  
Jingfan Tang ◽  
Qin Zhu ◽  
Ming Jiang

2014 ◽  
Vol 602-605 ◽  
pp. 1749-1752
Author(s):  
Li Yuan Sun ◽  
Yan Mei Zhang

Fuzz testing is a software testing technique,which provides invalid, unexpected, or random data to the inputs of a computer program to test the robustness and security of procedures[1]. For structured data like logging, the variant fuzz testing framework adopts a configuration file, apply traverse and stream processing to complete the structured fuzzing. This article starts with the features of the structured data, then introduces the design and implementation of the variant fuzz testing framework, including function modules, class structure, and logic processing. As a conclusion, this framework is compared with zzuf tool, and the advanced nature of this framework is elaborated.


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