THE BEST FRAMEWORK FOR QA AUTOMATION TESTING:ADVANTAGES AND DISADVANTAGES OF ROBOT FRAMEWORK

Nowadays quality assurance automation testing has a lot of frameworks which help to develop quality automation test cases. Currently most developers or manual testers want to start develop automation test cases and they do not know which the best framework to learn. We are interesting to focus in one framework and find all advantages and disadvantages of this framework.This paper contains all full information about Robot framework in testenvironment. Seven criteria’s help to find positive and negative sides of thisframework. With using Robot framework in automation test case we canimprove all manual tests.

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Publication Details

Journal
Suleyman Demirel University Bulletin Natural and Technical Sciences
Published
2024-10-18
DOI
https://doi.org/10.47344/sdubnts.v57i4.629
Primary Topic
Robot Manipulation and Learning
Type
article
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article

THE BEST FRAMEWORK FOR QA AUTOMATION TESTING:ADVANTAGES AND DISADVANTAGES OF ROBOT FRAMEWORK

Temirlan Meiramuly Shaikenov, Ulbike Zhanysbek, Shynggyskhan Turganbekov
Suleyman Demirel University Bulletin Natural and Technical Sciences
Robot Manipulation and Learning
article

THE BEST FRAMEWORK FOR QA AUTOMATION TESTING:ADVANTAGES AND DISADVANTAGES OF ROBOT FRAMEWORK

Temirlan Meiramuly Shaikenov, Ulbike Zhanysbek, Shynggyskhan Turganbekov
article en

Abstract

Nowadays quality assurance automation testing has a lot of frameworks which help to develop quality automation test cases. Currently most developers or manual testers want to start develop automation test cases and they do not know which the best framework to learn. We are interesting to focus in one framework and find all advantages and disadvantages of this framework.This paper contains all full information about Robot framework in testenvironment. Seven criteria’s help to find positive and negative sides of thisframework. With using Robot framework in automation test case we canimprove all manual tests.

Suleyman Demirel University Bulletin Natural and Technical SciencesVol. 57(4)
Openalex Percentile: Top 67%
Robot Manipulation and Learning
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