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dc.provenanceComisión de Investigaciones Científicas-
dc.contributorFernández, Enrique-
dc.contributorDieste, Oscar-
dc.contributorPesado, Patricia Mabel-
dc.contributorGarcía Martínez, Ramón-
dc.creatorFernández, Enrique-
dc.creatorDieste, Oscar-
dc.creatorPesado, Patricia Mabel-
dc.creatorGarcía Martínez, Ramón-
dc.date2011-
dc.date.accessioned2019-04-29T16:11:33Z-
dc.date.available2019-04-29T16:11:33Z-
dc.date.issued2011-
dc.identifierhttp://digital.cic.gba.gob.ar/handle/11746/4016-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/311343-
dc.descriptionExperiments that are run with few experimental subjects are often considered not to be very reliable and deemed, as a result, to be useless with a view to generating new knowledge. This belief is not, however, entirely correct. Today we have tools, such as meta-analysis, that we can use to aggregate small-scale experiments and output results that are equivalent to experiments run on large samples that are therefore reliable. The application of meta-analysis can overcome some of the obstacles that we come up against when running software engineering experiments (such as, for example, the practitioner availability problem).-
dc.formatapplication/pdf-
dc.formatp. 181-189-
dc.languageeng-
dc.publisherEditorial de la Universidad de La Plata (EDULP)-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightsAttribution 4.0 International (BY 4.0)-
dc.sourcereponame:CIC Digital (CICBA)-
dc.sourceinstname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires-
dc.sourceinstacron:CICBA-
dc.source.urihttp://digital.cic.gba.gob.ar/handle/11746/4016-
dc.subjectCiencias de la Computación-
dc.titleThe Importance of Using Empirical Evidence in Software Engineering-
dc.typeinfo:eu-repo/semantics/bookPart-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/parteDeLibro-
Aparece en las colecciones: Comisión de Investigaciones Científicas de la Prov. de Buenos Aires

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