The effects of clustering to software size estimation for the use case points methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517638" target="_blank" >RIV/70883521:28140/17:63517638 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-57141-6_51" target="_blank" >http://dx.doi.org/10.1007/978-3-319-57141-6_51</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-57141-6_51" target="_blank" >10.1007/978-3-319-57141-6_51</a>
Alternative languages
Result language
angličtina
Original language name
The effects of clustering to software size estimation for the use case points methods
Original language description
The main objective of the paper is to present the suitability and effects of several different clustering methods for improving accuracy of software size estimation. For software size estimation was used the Algorithmic Optimisation Method (AOM), which is based Use Case Points (UCP) method. The comparison of K-means, Hierarchical and Density-based clustering is provided. Gap, Silhouette and Calinski-Harabasz criterion were selected as an evaluation criterion for clustering quality. Estimation ability of clustered model is compared on Sum of squared error (SSE). Results shows that clustering improves an estimation ability.
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SOFTWARE ENGINEERING TRENDS AND TECHNIQUES IN INTELLIGENT SYSTEMS, CSOC2017, VOL 3 Book Series: Advances in Intelligent Systems and Computing
ISBN
978-3-319-57141-6
ISSN
2194-5357
e-ISSN
neuvedeno
Number of pages
11
Pages from-to
479-490
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Zlín
Event date
Apr 26, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000405338500051