Community Detection in Model-based Testing to Address Scalability: Study Design

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dc.contributor.authorSilistre, A.
dc.contributor.authorKilincceker, O.
dc.contributor.authorBelli, F.
dc.contributor.authorChallenger, M.
dc.contributor.authorKardas, G.
dc.date.accessioned2020-12-01T11:52:32Z
dc.date.available2020-12-01T11:52:32Z
dc.date.issued2020
dc.departmentEge Üniversitesien_US
dc.description15th Federated Conference on Computer Science and Information Systems, FedCSIS 2020 -- 6 September 2020 through 9 September 2020 -- -- 164056en_US
dc.description.abstractModel-based GUI testing has achieved widespread recognition in academy thanks to its advantages compared to code-based testing due to its potentials to automate testing and the ability to cover bigger parts more efficiently. In this study design paper, we address the scalability part of the model-based GUI testing by using community detection algorithms. A case study is presented as an example of possible improvements to make a model-based testing approach more efficient. We demonstrate layered ESG models as an example of our approach to consider the scalability problem. We present rough calculations with expected results, which show 9 times smaller time and space units for 100 events in the ESG model when a community detection algorithm is applied. © 2020 Polish Information Processing Society - as it is since 2011.en_US
dc.identifier.doi10.15439/2020F163
dc.identifier.endpage660en_US
dc.identifier.isbn9788395541674
dc.identifier.scopus2-s2.0-85095735507en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage657en_US
dc.identifier.urihttps://doi.org/10.15439/2020F163
dc.identifier.urihttps://hdl.handle.net/11454/61567
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleCommunity Detection in Model-based Testing to Address Scalability: Study Designen_US
dc.typeConference Objecten_US

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