The Importance of Using Empirical Evidence in Software Engineering

cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloUniversidad Nacional de La Plata es
dc.date.accessioned2016-08-25T14:39:59Z
dc.date.available2016-08-25T14:39:59Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/4016
dc.titleThe Importance of Using Empirical Evidence in Software Engineeringen
dc.typeParte de libroes
dcterms.abstractExperiments 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).en
dcterms.creator.authorFernández, Enriquees
dcterms.creator.authorDieste, Oscares
dcterms.creator.authorPesado, Patricia Mabeles
dcterms.creator.authorGarcía Martínez, Ramónes
dcterms.extentp. 181-189es
dcterms.identifier.isbn978-950-34-0757-8es
dcterms.isPartOf.itemComputer Science and Technology Series, XVI Argentine Congress of Computer Science, Selected paperses
dcterms.issued2011
dcterms.languageIngléses
dcterms.licenseAttribution 4.0 International (BY 4.0)es
dcterms.publisherEditorial de la Universidad de La Plata (EDULP)es
dcterms.subjectMeta-analysisen
dcterms.subjectstatistical poweren
dcterms.subjectreliabilityen
dcterms.subjectreplicationses
dcterms.subjectsample sizeen
dcterms.subject.materiaCiencias de la Computaciónes

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