An evaluation of technical and environmental complexity factors for improving use case points estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F20%3A63526962" target="_blank" >RIV/70883521:28140/20:63526962 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-63322-6_64" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-63322-6_64</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-63322-6_64" target="_blank" >10.1007/978-3-030-63322-6_64</a>
Alternative languages
Result language
angličtina
Original language name
An evaluation of technical and environmental complexity factors for improving use case points estimation
Original language description
This paper presents a proposed method for improving the prediction ability of the Use Case Points method. Our main goal is to use the Least Absolute Shrinkage and Selection Operator Regression methods to find out which of the technical and environmental complexity factors significantly affect the accuracy of the Use Case Points method. Two regression models were used to calculate the selected significant variables. The results of several evaluation measures show that the proposed estimation method ability is better than the original Use Case Points method. The Sum of Squared Error of the proposed method is better than the results obtained by the original one. The study also enables project managers to understand how to assess the technical and environmental complexity factors better - since they do have an important impact on effort estimation. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
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<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing Volume 1294
ISBN
978-303063321-9
ISSN
21945357
e-ISSN
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Number of pages
12
Pages from-to
757-768
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
Berlín
Event location
Vsetín
Event date
Oct 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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