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Empirical evidence in early stage software effort estimation using data flow diagram

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dc.title Empirical evidence in early stage software effort estimation using data flow diagram en
dc.contributor.author Vo Van, Hai
dc.contributor.author Ho, Le Thi Kim Nhung
dc.contributor.author Huynh Thai, Hoc
dc.relation.ispartof Lecture Notes in Networks and Systems
dc.identifier.issn 2367-3370 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-03-077441-7
dc.date.issued 2021
utb.relation.volume 230
dc.citation.spage 632
dc.citation.epage 644
dc.event.title 10th Computer Science Online Conference, CSOC 2021
dc.event.location online
dc.event.sdate 2021-04-01
dc.event.edate 2021-04-01
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.identifier.doi 10.1007/978-3-030-77442-4_53
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-77442-4_53
dc.subject early software effort estimation en
dc.subject function point (FP) en
dc.subject software effort from DFD en
dc.description.abstract Software effort estimation in a very early stage of the application development lifecycle is always a challenge for project managers. Many researchers have proposed different methods. They have certain advantages and limitations. This study proposed an approach called Early Effort Estimation from the data flow diagram with a complexity tag added that could estimate the effort estimation in a very early stage of the software development cycle. This method can be obtained by evaluating the customized data flow diagram, a data flow diagram with specific tag values. We also proposed a tool that implemented this method. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010523
utb.identifier.scopus 2-s2.0-85113364085
utb.source d-scopus
dc.date.accessioned 2021-09-06T20:39:30Z
dc.date.available 2021-09-06T20:39:30Z
dc.description.sponsorship IGA/CebiaTech/2021/001
utb.contributor.internalauthor Vo Van, Hai
utb.contributor.internalauthor Ho, Le Thi Kim Nhung
utb.contributor.internalauthor Huynh Thai, Hoc
utb.fulltext.sponsorship This work was supported by the Faculty of Applied Informatics, Tomas Bata University in Zlín, under project IGA/CebiaTech/2021/001.
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, 76001, Czech Republic
utb.fulltext.projects IGA/CebiaTech/2021/001
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