scholarly journals A Model for GUI Automated Testing Framework in Software System

2013 ◽  
Vol 64 (15) ◽  
pp. 16-20
Author(s):  
J. Prabhu ◽  
G. Gunasekaran
Author(s):  
Daniel Bolanos

This chapter provides practitioners in the field with a set of guidelines to help them through the process of elaborating an adequate automated testing framework to competently test automatic speech recognition systems. Through this chapter the testing process of such a system is analyzed from different angles, and different methods and techniques are proposed that are well suited for this task.


2013 ◽  
Vol 427-429 ◽  
pp. 652-655
Author(s):  
Zhong Qian Wu ◽  
Jin Zhe Li ◽  
Zeng Zeng Liao

In order to improve software reusability of automated test scripts, presents a keyword-driven test automation framework (KDTFA). First, the current existing automated testing framework for inductive analysis; then raised KDTFA system architecture; finally, an example of the android interface application framework and the existing framework for KDTFA actual contrast verification results show that the framework has a reduced scale of test scripts to improve the overall test efficiency and other advantages.


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.


Author(s):  
Mikhail Kataev ◽  
Vardan Mkrttchian ◽  
Larisa Bulysheva ◽  
Anatoly Korikov

The chapter covers avatar-based control for neuron natural and artificial technology platform used in automated testing system for quality control of student training. The chapter proposes the concept of creating an automated software system for monitoring student knowledge in the learning process. It is proven that for successful students to learn remotely, it is necessary to develop a knowledge assessment system that takes into account various learning features, as well as the individual characteristics of the student. The block structure of an automated software system is presented and its elements are discussed in relation to the educational process. The role of the teacher in the virtual learning system is discussed and an algorithm of the learning process in this system is presented.


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