dc.creator | Aroba Páez, Javier | es |
dc.creator | Cuadrado Gallego, Juan J. | es |
dc.creator | Sicilia, Miguel Ángel | es |
dc.creator | Ramos Román, Isabel | es |
dc.creator | García Barriocanal, Elena | es |
dc.date.accessioned | 2017-05-05T10:50:12Z | |
dc.date.available | 2017-05-05T10:50:12Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Aroba Páez, J., Cuadrado Gallego, J.J., Sicilia, M.Á., Ramos Román, I. y García Barriocanal, E. (2008). Segmented software cost estimation models based on fuzzy clustering. Journal of Systems and Software, 81 (11), 1944-1950. | |
dc.identifier.issn | 0164-1212 | es |
dc.identifier.uri | http://hdl.handle.net/11441/59282 | |
dc.description.abstract | Parametric software cost estimation models are based on mathematical relations, obtained from the study of historical software projects
databases, that intend to be useful to estimate the effort and time required to develop a software product. Those databases often
integrate data coming from projects of a heterogeneous nature. This entails that it is difficult to obtain a reasonably reliable single parametric
model for the range of diverging project sizes and characteristics. A solution proposed elsewhere for that problem was the use of
segmented models in which several models combined into a single one contribute to the estimates depending on the concrete characteristic
of the inputs. However, a second problem arises with the use of segmented models, since the belonging of concrete projects to segments or
clusters is subject to a degree of fuzziness, i.e. a given project can be considered to belong to several segments with different degrees.
This paper reports the first exploration of a possible solution for both problems together, using a segmented model based on fuzzy
clusters of the project space. The use of fuzzy clustering allows obtaining different mathematical models for each cluster and also allows
the items of a project database to contribute to more than one cluster, while preserving constant time execution of the estimation process.
The results of an evaluation of a concrete model using the ISBSG 8 project database are reported, yielding better figures of adjustment
than its crisp counterpart. | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIN2004-06689-C03 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Journal of Systems and Software, 81 (11), 1944-1950. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Software effort estimation | es |
dc.subject | Parametric software estimation models | es |
dc.subject | Fuzzy clustering | es |
dc.title | Segmented software cost estimation models based on fuzzy clustering | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2004-06689-C03 | es |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0164121208000150 | es |
dc.identifier.doi | 10.1016/j.jss.2008.01.016 | es |
idus.format.extent | 7 | es |
dc.journaltitle | Journal of Systems and Software | es |
dc.publication.volumen | 81 | es |
dc.publication.issue | 11 | es |
dc.publication.initialPage | 1944 | es |
dc.publication.endPage | 1950 | es |
dc.contributor.funder | Ministerio de Ciencia y Tecnología (MCYT). España | |