Applied Least Square Regression in Use Case Estimation Precision Tuning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43873815" target="_blank" >RIV/70883521:28140/15:43873815 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Applied Least Square Regression in Use Case Estimation Precision Tuning
Original language description
In the presented paper the new software effort estimation method is proposed. The Least Square Regression is used to predict a value of correction parameters, which have a significant impact. The accuracy estimationis of 85% better than the convectionaluse case points methods in tested dataset.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
—
Result continuities
Project
—
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2015
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 in Intelligent Systems
ISBN
978-3-319-18472-2
ISSN
2194-5357
e-ISSN
—
Number of pages
7
Pages from-to
11-17
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
Event location
on-line
Event date
Apr 27, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000368088400002