Using improved analytical programming algorithm for effort estimation in software engineering

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875309" target="_blank" >RIV/70883521:28140/16:43875309 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.matec-conferences.org/articles/matecconf/pdf/2016/39/matecconf_cscc2016_02009.pdf" target="_blank" >http://www.matec-conferences.org/articles/matecconf/pdf/2016/39/matecconf_cscc2016_02009.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/matecconf/20167602009" target="_blank" >10.1051/matecconf/20167602009</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using improved analytical programming algorithm for effort estimation in software engineering

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Using improved analytical programming algorithm for effort estimation in software engineering

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

MATEC Web of Conferences

ISBN

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ISSN

2261-236X

e-ISSN

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Počet stran výsledku

4

Strana od-do

"nestrankovano"

Název nakladatele

EDP Sciences

Místo vydání

Les Ulis

Místo konání akce

Corfu Island

Datum konání akce

14. 7. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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