Outliners detection method for software effort estimation models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522744" target="_blank" >RIV/70883521:28140/19:63522744 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-19807-7_43" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-19807-7_43</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-19807-7_43" target="_blank" >10.1007/978-3-030-19807-7_43</a>
Alternative languages
Result language
angličtina
Original language name
Outliners detection method for software effort estimation models
Original language description
Outliner detection methods are studied as an approach for simulated in-house dataset creation. In-house datasets are understood as an approach for increasing the estimation accuracy of the functional points-based estimation models. The method which was selected as the best option for outliners’ detection is the median absolute deviation. The product delivery rate was used as a parameter for the median absolution deviation method. The estimation accuracy was compared for a public dataset and simulated in-house datasets, using stepwise regression models.
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
2019
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 METHODS IN INTELLIGENT ALGORITHMS, VOL 1
ISBN
978-3-030-19806-0
ISSN
2194-5357
e-ISSN
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Number of pages
11
Pages from-to
444-455
Publisher name
Springer
Place of publication
Cham
Event location
Praha
Event date
Apr 24, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000503384000043