TBU Publications
Repository of TBU Publications

A productivity optimising model for improving software effort estimation

DSpace Repository

Show simple item record


dc.title A productivity optimising model for improving software effort estimation 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 9783030633219
dc.date.issued 2020
utb.relation.volume 1294
dc.citation.spage 735
dc.citation.epage 746
dc.event.title 4th Computational Methods in Systems and Software, CoMeSySo 2020
dc.event.sdate 2020-10-14
dc.event.edate 2020-10-17
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.identifier.doi 10.1007/978-3-030-63322-6_62
dc.relation.uri https://link.springer.com/chapter/10.1007%2F978-3-030-63322-6_62
dc.subject effort accuracy en
dc.subject effort estimation en
dc.subject Functional Size Measurement (FSM) en
dc.description.abstract The estimation of software development effort is a critical task for the effective management of any software industry. Despite the fact that it has been under development for a long time - along with many contributions from many authors seeking to improve the accuracy of software effort estimation, it is still of great interest to many researchers. This study proposed an improved effort estimation model, named the Productivity Optimising Model. This model was designed, based on the Function Points Measurement method and the Multiple Linear Regression model. The Multiple Linear Regression model was built based on the research of historical datasets in order to provide an estimation model so that one can determine the optimising productivity, and then it is easy to calculate the effort. The effort result of this model was compared to the others that were calculated by the Mean Value of Productivity of the tested dataset, and the Capers Jones method. It proved that proposed method gives better accuracy results than the other models. © 2020, The Editor(s) (if applicable) and 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/10563/1010146
utb.identifier.obdid 43882278
utb.identifier.scopus 2-s2.0-85098159331
utb.source d-scopus
dc.date.accessioned 2021-01-08T14:02:34Z
dc.date.available 2021-01-08T14:02:34Z
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 SV13202001020-PU30, Project IGA/CebiaTech/ 2020/001, and Project RVO/FAI/2020/002.
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, 76001, Czech Republic
utb.fulltext.projects SV13202001020-PU30
utb.fulltext.projects IGA/CebiaTech/2020/001
utb.fulltext.projects RVO/FAI/2020/002
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
Find Full text

Files in this item

Show simple item record