Spectral clustering effect in software development effort estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F21%3A63537838" target="_blank" >RIV/70883521:28140/21:63537838 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2073-8994/13/11/2119" target="_blank" >https://www.mdpi.com/2073-8994/13/11/2119</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/sym13112119" target="_blank" >10.3390/sym13112119</a>
Alternative languages
Result language
angličtina
Original language name
Spectral clustering effect in software development effort estimation
Original language description
Software development effort estimation is essential for software project planning and management. In this study, we present a spectral clustering algorithm based on symmetric matrixes as an option for data processing. It is expected that constructing an estimation model on more similar data can increase the estimation accuracy. The research methods employ symmetrical data processing and experimentation. Four experimental models based on function point analysis, stepwise regression, spectral clustering, and categorical variables have been conducted. The results indicate that the most advantageous variant is a combination of stepwise regression and spectral clustering. The proposed method provides the most accurate estimates compared to the baseline method and other tested variants. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Symmetry-Basel
ISSN
2073-8994
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
11
Country of publishing house
CH - SWITZERLAND
Number of pages
22
Pages from-to
1-22
UT code for WoS article
000725345700001
EID of the result in the Scopus database
2-s2.0-85118952331