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A review of use case-based development effort estimation methods in the system development context

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dc.title A review of use case-based development effort estimation methods in the system development context en
dc.contributor.author Ho, Le Thi Kim Nhung
dc.contributor.author Huynh Thai, Hoc
dc.contributor.author Vo Van, Hai
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-03-030328-0
dc.date.issued 2019
utb.relation.volume 1046
dc.citation.spage 484
dc.citation.epage 499
dc.event.title 3rd Conference on Computational Methods in Systems and Software (CoMeSySo)
dc.event.location online
dc.event.sdate 2019-10-03
dc.event.edate 2019-10-05
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer
dc.identifier.doi 10.1007/978-3-030-30329-7_44
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-30329-7_44
dc.subject software effort estimation en
dc.subject Use Case Point method en
dc.description.abstract Software Effort Estimation – (further only SEE), is a critical factor in the early phase of the software development life-cycle and hence - the success or failure of a software project depends on the accuracy of the estimated effort. In recent years, Use Cases for Software Effort Estimation has gained wide-ranging popularity. It is suitable for Effort Estimation in the early stages of software development since it helps project managers to bid on projects, and to efficiently allocate resources. It has attracted many researchers’ interest in Use Case-based approaches due to the promising results obtained - including their early applicability. In this article, we look into a systematic review of previously published materials in order to summarise various Software Effort Estimation – (further only SEE), models and developments, based on Use Case Point. The study also provides insights into the effects of all factors that contributed to the Use Case size as an estimation for effort. Apart from this, the paper also provides standard criteria to evaluate the models’ accuracy and effectiveness. © Springer Nature Switzerland AG 2019. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009480
utb.identifier.obdid 43881476
utb.identifier.scopus 2-s2.0-85075601860
utb.identifier.wok 000564759600044
utb.source d-scopus
dc.date.accessioned 2019-12-20T12:39:22Z
dc.date.available 2019-12-20T12:39:22Z
dc.description.sponsorship Faculty of Applied Informatics, Tomas Bata University in Zlin [RO30196021025, IGA/CebiaTech/2019/002]
utb.ou CEBIA-Tech
utb.contributor.internalauthor Ho, Le Thi Kim Nhung
utb.contributor.internalauthor Huynh Thai, Hoc
utb.contributor.internalauthor Vo Van, Hai
utb.fulltext.affiliation Ho Le Thi Kim Nhung, Huynh Thai Hoc, Vo Van Hai Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, 76001 Zlin, Czech Republic {lho,huynh_thai,huynh_thai}@utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the Faculty of Applied Informatics, Tomas Bata University in Zlín, under Project RO30196021025 and under Project IGA/CebiaTech/2019/002.
utb.wos.affiliation [Ho Le Thi Kim Nhung; Huynh Thai Hoc; Vo Van Hai] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin 76001, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, 76001, Czech Republic
utb.fulltext.projects RO30196021025
utb.fulltext.projects IGA/CebiaTech/2019/002
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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