A review of software effort estimation by using functional points analysis

Vo Van, Hai; Ho, Le Thi Kim Nhung; Huynh Thai, Hoc

dc.title	A review of software effort estimation by using functional points analysis	en
dc.contributor.author	Vo Van, Hai
dc.contributor.author	Ho, Le Thi Kim Nhung
dc.contributor.author	Huynh Thai, Hoc
dc.relation.ispartof	Advances in Intelligent Systems and Computing
dc.identifier.issn	2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-03-031361-6
dc.date.issued	2019
utb.relation.volume	1047
dc.citation.spage	408
dc.citation.epage	422
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	10.1007/978-3-030-31362-3_40
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-030-31362-3_40
dc.subject	Functional Points Analysis (FPA)	en
dc.subject	Software Effort Estimation (SEE)	en
dc.subject	Effort Accuracy Improvement (EAI)	en
dc.description.abstract	The estimation of the Software Development Effort, (further only SDE), value is critical for the effective management of any software industry. Function Point Analysis, (further only FPA) - is a standardised method designed to systematically measure the functional size of the software. Although this method tool has been become widely-used by many software organisations, it still faces many problems. In this paper, we shall present a systematic review of Software Effort Estimation, (further only SEE), methods based on Functional Points Analysis, (further only FPA). The article focuses on an analysis of the limitations and accuracy of the FPA method - which was proposed many years ago. © 2019, Springer Nature Switzerland AG.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1009484
utb.identifier.obdid	43881134
utb.identifier.scopus	2-s2.0-85075601057
utb.identifier.wok	000627307100039
utb.source	d-scopus
dc.date.accessioned	2019-12-20T12:39:23Z
dc.date.available	2019-12-20T12:39:23Z
dc.description.sponsorship	Faculty of Applied Informatics, Tomas Bata University in Zlin [RO30196021025, IGA/CebiaTech/2019/002]
utb.contributor.internalauthor	Vo Van, Hai
utb.contributor.internalauthor	Ho, Le Thi Kim Nhung
utb.contributor.internalauthor	Huynh Thai, Hoc
utb.fulltext.affiliation	Vo Van Hai, Ho Le Thi Kim Nhung, Huynh Thai Hoc Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad. Stranemi 4511, 76001 Zlin, Czech Republic {vo_van,lho,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 No.: RO30196021025, and the IGA/CebiaTech/2019/002 Project.
utb.wos.affiliation	[Vo Van Hai; Ho Le Thi Kim Nhung; Huynh Thai Hoc] Tomas Bata Univ Zlin, Fac Appl Informat, 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