Using improved analytical programming algorithm for effort estimation in software engineering

Urbánek, Tomáš; Prokopová, Zdenka; Šilhavý, Radek; Kunčar, Aleš

dc.title	Using improved analytical programming algorithm for effort estimation in software engineering	en
dc.contributor.author	Urbánek, Tomáš
dc.contributor.author	Prokopová, Zdenka
dc.contributor.author	Šilhavý, Radek
dc.contributor.author	Kunčar, Aleš
dc.relation.ispartof	MATEC Web of Conferences 20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
dc.identifier.issn	2261-236X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2016
utb.relation.volume	76
dc.event.title	20th International Conference on Circuits, Systems, Communications and Computers (CSCC)
dc.event.location	Corfu
utb.event.state-en	Greece
utb.event.state-cs	Řecko
dc.event.sdate	2016-07-14
dc.event.edate	2016-07-17
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	EDP Sciences
dc.identifier.doi	10.1051/matecconf/20167602009
dc.relation.uri	https://www.matec-conferences.org/articles/matecconf/abs/2016/39/matecconf_cscc2016_02009/matecconf_cscc2016_02009.html
dc.description.abstract	This paper evaluates the usage of improved analytical programming algorithm for software effort estimation. The new model was generated by improved analytical programming and it was tested and compared with Karner's model to assess its properties. Least Absolute Deviation and random sub-sampling cross validation were used to assess the reliability to this experiment. The experimental results shows that the new model generated by analytical programming outperforms the Karner's equation about 40 %. Moreover, this work shows that improved analytical programming algorithm is feasible method for calibrating Use Case Points method. All results were evaluated by standard approach: visual inspection and statistical significance testing.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1007018
utb.identifier.obdid	43876044
utb.identifier.scopus	2-s2.0-85016124573
utb.identifier.wok	000392332200022
utb.source	d-wok
dc.date.accessioned	2017-07-25T08:54:46Z
dc.date.available	2017-07-25T08:54:46Z
dc.description.sponsorship	Internal Grant Agency of Tomas Bata University in Zlin [IGA/FAI/2016/035]
dc.rights	Attribution 4.0 International
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.rights.access	openAccess
utb.contributor.internalauthor	Urbánek, Tomáš
utb.contributor.internalauthor	Prokopová, Zdenka
utb.contributor.internalauthor	Šilhavý, Radek
utb.contributor.internalauthor	Kunčar, Aleš
utb.fulltext.affiliation	Tomas Urbanek 1 , a , Zdenka Prokopova 1 , Radek Silhavy 1 , and Ales Kuncar 1 1 Tomas Bata University in Zlin, Faculty of Applied Informatics, Namesti T.G.Masaryka 5555, 760 01 Zlin, Czech Republic a Corresponding author: [email protected]
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by Internal Grant Agency of Tomas Bata University in Zlin under the project No. IGA/FAI/2016/035.