A comparative evaluation of validation techniques in software effort estimation using eSOMCOCOMO
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F25%3A63600320" target="_blank" >RIV/70883521:28140/25:63600320 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-032-00239-6_23" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-032-00239-6_23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-032-00239-6_23" target="_blank" >10.1007/978-3-032-00239-6_23</a>
Alternative languages
Result language
angličtina
Original language name
A comparative evaluation of validation techniques in software effort estimation using eSOMCOCOMO
Original language description
This study investigates the impact of different validation techniques on the performance evaluation of software effort estimation models. Specifically, it compares k-fold cross-validation, leave-one-out cross-validation (LOOCV), and hold-out validation using the eSOMCOCOMO approach, which enhances COCOMO model predictions through the Self-Organizing Migrating Algorithm (SOMA). The evaluation was conducted on three benchmark datasets (NASA18, Kemerer, and Miyazaki94) and assessed using standard evaluation metrics (MMRE, PRED(25), MMER, MAE, MSE, RMSE, and R2). Statistical hypothesis testing revealed significant differences among most validation techniques, except in the comparison conducted on the NASA18 dataset. LOOCV demonstrates superior stability across multiple runs, whereas hold-out validation showed high variance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Networks and Systems
ISBN
978-3-032-00238-9
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
6
Pages from-to
337-352
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
Berlín
Event location
Virtual, Online
Event date
Apr 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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