Prediction accuracy measurements as a fitness function for software effort estimation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43873633" target="_blank" >RIV/70883521:28140/15:43873633 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1186/s40064-015-1555-9" target="_blank" >http://dx.doi.org/10.1186/s40064-015-1555-9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s40064-015-1555-9" target="_blank" >10.1186/s40064-015-1555-9</a>

Result language

angličtina

Original language name

Prediction accuracy measurements as a fitness function for software effort estimation

Original language description

This paper evaluates the usage of analytical programming and different fitness functions for software effort estimation. Analytical programming and differential evolution generate regression functions. These functions are evaluated by the fitness function which is part of differential evolution. The differential evolution requires a proper fitness function for effective optimization. The problem is in proper selection of the fitness function. Analytical programming and different fitness functions were tested to assess insight to this problem. Mean magnitude of relative error, prediction 25 %, mean squared error (MSE) and other metrics were as possible candidates for proper fitness function. The experimental results shows that means squared error performs best and therefore is recommended as a fitness function. Moreover, this work shows that analytical programming method is viable method for calibrating use case points method. All results were evaluated by standard approach: visual insp

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.

Name of the periodical

SpringerPlus

ISSN

2193-1801

e-ISSN

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Volume of the periodical

4

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

17

Pages from-to

1-17

UT code for WoS article

000368718000002

EID of the result in the Scopus database

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