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LKDT: A Keyword-Driven Based Distributed Test Framework

Jie Hui, Lan Yuqing, Pei Luo, Shuhang Guo, Jing Gao

Open publisher page 9 citations

Abstract

In order to improve the reusability for the software testing automation procedures, at the same time support the program test for Linux, keyword-driven distributed test automation framework (LKDT) is proposed in this paper, which is based on the analyze of the recent automated testing frameworks and combined with the actual project practice for software testing automation. This paper presents the LKDTpsilas system architecture, design, as well as the key technology details, finally, a concrete application and instance analysis are given to estimate the frameworkpsilas feasibility and superiority.

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What this paper is about

In order to improve the reusability for the software testing automation procedures, at the same time support the program test for Linux, keyword-driven distributed test automation framework (LKDT) is proposed in this paper, which is based on the analyze of the recent automated testing frameworks and combined with the actual project practice for software testing automation. This paper presents the LKDTpsilas system architecture, design, as well as the key technology details, finally, a concrete application and instance analysis are given to estimate the frameworkpsilas feasibility and superiority.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In order to improve the reusability for the software testing automation procedures, at the same time support the program test for Linux, keyword-driven distributed test automation framework (LKDT) is proposed in this paper, which is based on the analyze of the recent automated testing frameworks and combined with the actual project practice for software testing automation. This paper presents the LKDTpsilas system architecture, design, as well as the key technology details, finally, a concrete application and instance analysis are given to estimate the frameworkpsilas feasibility and superiority.

Key concepts: Computer science, Test (biology), Paleontology, Biology

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