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An Update on Effort Estimation in Agile Software Development: A Systematic Literature Review

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An Update on Effort Estimation in Agile Software Development: A Systematic Literature Review

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dc.contributor.author Fernández-Diego, Marta es_ES
dc.contributor.author Méndez, Erwin R. es_ES
dc.contributor.author González-Ladrón-de-Guevara, Fernando es_ES
dc.contributor.author Abrahao Gonzales, Silvia Mara es_ES
dc.contributor.author Insfran, Emilio es_ES
dc.date.accessioned 2021-07-02T03:31:14Z
dc.date.available 2021-07-02T03:31:14Z
dc.date.issued 2020 es_ES
dc.identifier.uri http://hdl.handle.net/10251/168682
dc.description.abstract [EN] Software developers require effective effort estimation models to facilitate project planning. Although Usman et al. systematically reviewed and synthesized the effort estimation models and practices for Agile Software Development (ASD) in 2014, new evidence may provide new perspectives for researchers and practitioners. This article presents a systematic literature review that updates the Usman et al. study from 2014 to 2020 by analyzing the data extracted from 73 new papers. This analysis allowed us to identify six agile methods: Scrum, Xtreme Programming and four others, in all of which expert-based estimation methods continue to play an important role. This is particularly the case of Planning Poker, which is very closely related to the most frequently used size metric (story points) and the way in which software requirements are specified in ASD. There is also a remarkable trend toward studying techniques based on the intensive use of data. In this respect, although most of the data originate from single-company datasets, there is a significant increase in the use of cross-company data. With regard to cost factors, we applied the thematic analysis method. The use of team and project factors appears to be more frequent than the consideration of more technical factors, in accordance with agile principles. Finally, although accuracy is still a challenge, we identified that improvements have been made. On the one hand, an increasing number of papers showed acceptable accuracy values, although many continued to report inadequate results. On the other, almost 29% of the papers that reported the accuracy metric used reflected aspects concerning the validation of the models and 18% reported the effect size when comparing models. es_ES
dc.description.sponsorship This work was supported by the Spanish Ministry of Science, Innovation and Universities through the Adapt@Cloud Project under Grant TIN2017-84550-R. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Access es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Estimation es_ES
dc.subject Agile software development es_ES
dc.subject Software es_ES
dc.subject Variable speed drives es_ES
dc.subject Planning es_ES
dc.subject Systematics es_ES
dc.subject Bibliographies es_ES
dc.subject Effort estimation es_ES
dc.subject Agile methods es_ES
dc.subject Agile software development (ASD) es_ES
dc.subject Systematic literature review (SLR) es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title An Update on Effort Estimation in Agile Software Development: A Systematic Literature Review es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/ACCESS.2020.3021664 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84550-R/ES/ADAPTACION DINAMICA DE SERVICIOS CLOUD CENTRADA EN EL USUARIO/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Fernández-Diego, M.; Méndez, ER.; González-Ladrón-De-Guevara, F.; Abrahao Gonzales, SM.; Insfran, E. (2020). An Update on Effort Estimation in Agile Software Development: A Systematic Literature Review. IEEE Access. 8:166768-166800. https://doi.org/10.1109/ACCESS.2020.3021664 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/ACCESS.2020.3021664 es_ES
dc.description.upvformatpinicio 166768 es_ES
dc.description.upvformatpfin 166800 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.identifier.eissn 2169-3536 es_ES
dc.relation.pasarela S\422060 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES


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