Algorithmic Optimisation Method for Improving Use Case Points Estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43873810" target="_blank" >RIV/70883521:28140/15:43873810 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1371/journal.pone.0141887" target="_blank" >http://dx.doi.org/10.1371/journal.pone.0141887</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0141887" target="_blank" >10.1371/journal.pone.0141887</a>

Result language
angličtina
Original language name
Algorithmic Optimisation Method for Improving Use Case Points Estimation
Original language description
This paper presents a new size estimation method that can be used to estimate size level for software engineering projects. The Algorithmic Optimisation Method is based on Use Case Points and on Multiple Least Square Regression. The method is derived into three phases. The first phase deals with calculation Use Case Points and correction coefficients values. Correction coefficients are obtained by using Multiple Least Square Regression. New project is estimated in the second and third phase. In the second phase Use Case Points parameters for new estimation are set up and in the third phase project estimation is performed. Final estimation is obtained by using newly developed estimation equation, which used two correction coefficients. The Algorithmic Optimisation Method performs approximately 43% better than the Use Case Points method, based on their magnitude of relative error score. All results were evaluated by standard approach: visual inspection, goodness of fit measure and statis
Czech name
—
Czech description
—

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
—

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)