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dc.contributor.authorScatalon, Lilian P.
dc.contributor.authorGarcia, Rogério E. [UNESP]
dc.contributor.authorBarbosa, Ellen F.
dc.date.accessioned2020-12-12T02:22:15Z
dc.date.available2020-12-12T02:22:15Z
dc.date.issued2020-01-01
dc.identifierhttp://dx.doi.org/10.18293/SEKE2020-146
dc.identifier.citationProceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, v. PartF162440, p. 192-197.
dc.identifier.issn2325-9086
dc.identifier.issn2325-9000
dc.identifier.urihttp://hdl.handle.net/11449/201028
dc.description.abstractThe selection of variables in a given experiment is crucial, since it is the theoretical foundation that guides how data should be collected and analyzed. However, selecting variables is an intricate activity, especially considering areas such as Software Engineering and Education, whose studies should also consider human-related variables in the design. In this scenario, we aim to investigate how a support mechanism helps on the variables selection activity of the experiment process. To do so, we conducted a preliminary study on the use of an experimental framework composed by a catalog of variables. We explored the domain of the integration of software testing into programming education. Participants were divided into two groups (ad hoc and framework support) and asked to select variables for a given experiment goal. We analyzed the results by identifying threats to validity in their experimental design drafts. Results show a significant number of threats of type inadequate explication of constructs for both groups. Nonetheless, the framework helped to increase the clarity of concepts selected as variables. The cause of most raised threats, even with the framework support, was an inaccuracy in selecting the values of such variables (i.e. treatments and fixed values).en
dc.format.extent192-197
dc.language.isoeng
dc.relation.ispartofProceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
dc.sourceScopus
dc.subjectExperimental design
dc.subjectExperimental framework
dc.subjectSupport mechanisms
dc.subjectVariables selection
dc.titleOn the use of support mechanisms to perform experimental variables selectionen
dc.typeTrabalho apresentado em evento
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.description.affiliationUniversity of São Paulo (ICMC-USP)
dc.description.affiliationSão Paulo State University (FCT-Unesp)
dc.description.affiliationUnespSão Paulo State University (FCT-Unesp)
dc.identifier.doi10.18293/SEKE2020-146
dc.identifier.scopus2-s2.0-85090510617
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