Calibrating function complexity in enhancement project for improving function points analysis estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F21%3A63537918" target="_blank" >RIV/70883521:28140/21:63537918 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-90318-3_67" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-90318-3_67</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-90318-3_67" target="_blank" >10.1007/978-3-030-90318-3_67</a>
Alternative languages
Result language
angličtina
Original language name
Calibrating function complexity in enhancement project for improving function points analysis estimation
Original language description
Producing a good software product on time and within budget, the initial software estimation takes a significant role. Reality has shown that most software fails because the initial software estimation is not correct. Many researchers have proposed methods for software estimation. It has been developed since the 70s of the last century, but it is still of great interest until now. We also know that creating a new software product is difficult; it is even more difficult to innovate. In the framework of this paper, we propose an improved method based on the FPA method of IFPUG. We named this proposed model is Calibrating Function Complexity in Enhancement Project (CFCEP). This method is based on the Linear Regression technique to give coefficients of function complexity. The experimental results based on the ISBSG dataset show that the estimation based on this new coefficient gives much better results than using the coefficients of the standard FPA method. © 2021, 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
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Networks and Systems
ISBN
978-303090317-6
ISSN
23673370
e-ISSN
2367-3389
Number of pages
13
Pages from-to
857-869
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
Berlín
Event location
Vsetín
Event date
Oct 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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