The design and implement of the cross-platform mobile automated testing framework

Author(s):  
Fan Ming ◽  
ZuDe Zhou ◽  
Zhengying Li
2018 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Zhen Xu ◽  
James Miller

Due to the rapid evolution of web applications and computer techniques, visual incompatibility of web pages has become a problem across different browsers and platforms influencing the functionality of the web applications. At the present, researchers have made progress to address such issues; in addition, many commercial tools have emerged as well. However, drawbacks still exist in the existing work, where fully automate testing at the system level is still not achieved. In this paper, we attempt to propose a framework to detect the cross browser visual incompatibilities automatically. Highlights of the proposed framework include template based case organization, version based automation, and similarity embedded incompatibilities identification.


2019 ◽  
Vol 2 (1(31)) ◽  
pp. 8-16
Author(s):  
Черемних І. В.

The article is devoted to the problems of finding new forms of interaction between various media market players and new tools for converting TV and Internet content into profit. Changing the paradigm of consumption of TV and online content creates new conditions for the functioning of media business in Ukraine. Media can effectively monetize content through cross-platform processes such as co-branding, sampling, media baying, PayWall, b2b, b2c partnership, Transmedia Storytteling and others. First of all, it concerns the co-operation of traditional and Internet TV, PAY-TV, IPTV / OTT, digital, cable and satellite penetration, TV and Internet content producers, operators, providers. Through the cross-media consolidation of resources, the combination and distribution of content, players of the media market have the opportunity to successfully finance their budgets and receive greater dividends from the integration of efforts.


Author(s):  
Yevgeniya Daineko ◽  
Madina Ipalakova ◽  
Mariya Brodyagina ◽  
Marina Yunnikova ◽  
Maulen Bekturganov

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.


2019 ◽  
Vol 214 ◽  
pp. 06039
Author(s):  
Gordon Watts

The HEP community is preparing for the LHC’s Run 3 and 4. One of the big challenges for physics analysis will be developing tools to efficiently express an analysis and able to efficiently process the x10 more data expected. Recently, interest has focused on declarative analysis languages: a way of specifying a physicists’ intent and leaving everything else to the underlying system. The underlying system takes care of finding the data - powering the event processing loop – and even exactly how to most efficiently apply a desired jet selection. If this works, this would allow an analyser to test their algorithm on a small amount of data on their GPU-less laptop and then run it on a large amount of data on a server with multiple large GPU’s without having to alter their code. The LINQToROOT project, started almost seven years ago, fits this model. It has been used and tested in three ATLAS published analyses. LINQToROOT is based on the Language Integrated Query system built into the cross-platform C# language. It enables writing strongly-typed queries on a ROOT’s TTree’s data and transcribes the data to a C++ algorithm that can run in ROOT. Recent work on this system has had two goals: improving analysis efficiency and better understanding the requirements of a declarative analysis language. For example, a good analysis language should be able to abstract away the backend – recent work has increased the possible back ends from formerly the single Windows ROOT backend to one that runs on Linux, the Windows Linux-subsystem, and an experimental one that allows for PROOF like parallel processing – all done with almost no change to the analysis code itself. Any analysis language must also be rich enough to support an experiment’s data model. To test this, some experiments with the full ATLAS xAOD data model have been performed. All of this has been done while attempting to keep the project close to its original goals: quick turnaround for real ATLAS physics analysis. This work will be discussed in some detail along with thoughts and lessons that have helped shape our thinking about an Analysis Language and perhaps our approach to future physics analysis employing declarative analysis.


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.


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