Robotic Automation of Software Testing From a Machine Learning Viewpoint

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dc.contributor.authorYadav, Vinod
dc.contributor.authorBotchway, Raphael Kwaku
dc.contributor.authorSenkerik, Roman
dc.contributor.authorKominkova Oplatkova, Zuzana
dc.coverage.issue2cs
dc.coverage.volume27cs
dc.date.accessioned2022-01-26T08:21:50Z
dc.date.available2022-01-26T08:21:50Z
dc.date.issued2021-12-21cs
dc.description.abstractThe need to scale software test automation while managing the test automation process within a reasonable time frame remains a crucial challenge for software development teams (DevOps). Unlike hardware, the software cannot wear out but can fail to satisfy the functional requirements it is supposed to meet due to the defects observed during system operation. In this era of big data, DevOps teams can deliver better and efficient code by utilizing machine learning (ML) to scan their new codes and identify test coverage gaps. While still in its infancy, the inclusion of ML in software testing is a reality and requirement for coming industry demands. This study introduces the prospects of robot testing and machine learning to manage the test automation process to guarantee software reliability and quality within a reasonable timeframe. Although this paper does not provide any particular demonstration of ML-based technique and numerical results from ML-based algorithms, it describes the motivation, possibilities, tools, components, and examples required for understanding and implementing the robot test automation process approach.en
dc.formattextcs
dc.format.extent68-73cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2021 vol. 27, č. 2, s. 68-73. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2021.2.068en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/203382
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/160cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectAutomationen
dc.subjectBig Dataen
dc.subjectMachine Learningen
dc.subjectRobotic Software Testingen
dc.subjectTest Automationen
dc.subjectSoftware Reliabilityen
dc.titleRobotic Automation of Software Testing From a Machine Learning Viewpointen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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Vol. 27, No. 2