Method for Estimation of Software Requirements Using Neural Network Based Classification Technique
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10238729" target="_blank" >RIV/61989100:27240/18:10238729 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/18:10238729
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-60834-1_10" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-60834-1_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-60834-1_10" target="_blank" >10.1007/978-3-319-60834-1_10</a>
Alternative languages
Result language
angličtina
Original language name
Method for Estimation of Software Requirements Using Neural Network Based Classification Technique
Original language description
Effective management of software projects depends on ability to make accurate time-predictions. Nowadays, software companies need to deliver their solutions in expected time and budget. There are many factors influencing duration and cost of software projects. This paper provides innovative approach for estimations in early phase of software development. It shows usage of standard methods and its combination with soft computing technique called classification that is used for time-estimation of requirements using two-layer feed-forward neural network, which classifies requirements into time-groups.
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
2018
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 565
ISBN
978-3-319-60833-4
ISSN
2194-5357
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
87-96
Publisher name
Springer
Place of publication
Berlin
Event location
Marrákeš
Event date
Nov 21, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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