Inferring productivity factor for use case point method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F17%3A63516847" target="_blank" >RIV/70883521:28120/17:63516847 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/17:63516847
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Inferring productivity factor for use case point method
Original language description
This paper aims to infer new range for productivity factor of Use Case Points method. For this paper, we use linear regression as an inference tool for productivity factor. We compare these inferred values with three dataset. This study use MMRE measure and standard statistical methods to assess reliability. For comparison, we use MMRE measure for all models. The experimental results show that the range for productivity factor is much narrow with mean of 15.
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
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
Annals of DAAAM International 2017, Volume 28
ISBN
978-3-902734-14-3
ISSN
2304-1382
e-ISSN
neuvedeno
Number of pages
5
Pages from-to
1-5
Publisher name
DAAAM International Vienna
Place of publication
Vienna
Event location
Zadar
Event date
Nov 8, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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