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dc.contributor.authorAyyidiz, Tulin Ercelebi
dc.contributor.authorKocyigit, Altan
dc.date.accessioned2019-06-06T11:17:57Z
dc.date.available2019-06-06T11:17:57Z
dc.date.issued2017
dc.identifier.issn1300-1884
dc.identifier.urihttps://dergipark.org.tr/download/article-file/341040
dc.identifier.urihttp://hdl.handle.net/11727/3414
dc.description.abstractSoftware size measurement and effort estimation methodologies in use today usually take the detailed requirements of software to be developed as the primary input and a certain amount of time and expertise is needed for size measurement. This paper analyzes the open source projects' correlations between the problem domain measures (the number of nouns and verbs) and solution domain measures (the number of software classes and methods). In this paper, 27 open source software projects are analyzed. Linear regression and cross validation techniques are applied to investigate the relation between the sizes of problem domain (i.e., conceptual) and solution domain (i.e., design) measures. The results reveal a strong correlation between the problem domain measures and the solution domain measures constituting the corresponding software. The results suggest that it is possible to use problem domain descriptions in the early stages of software development projects to make plausible predictions for the size and effort of the software.en_US
dc.language.isoturen_US
dc.relation.isversionof10.17341/gazimmfd.337641en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSoftware size measurementen_US
dc.subjectProblem domainen_US
dc.subjectSolution domainen_US
dc.subjectLinear regressionen_US
dc.subjectOpen source software projectsen_US
dc.titleCorrelations between problem and solution domain measures of open source softwareen_US
dc.typearticleen_US
dc.relation.journalJOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITYen_US
dc.identifier.volume32en_US
dc.identifier.issue3en_US
dc.identifier.startpage887en_US
dc.identifier.endpage900en_US
dc.identifier.wos000412800400021


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