Estimating function points of development project in IoT systems case study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F24%3A63588078" target="_blank" >RIV/70883521:28140/24:63588078 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-70595-3_29" target="_blank" >http://dx.doi.org/10.1007/978-3-031-70595-3_29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-70595-3_29" target="_blank" >10.1007/978-3-031-70595-3_29</a>
Alternative languages
Result language
angličtina
Original language name
Estimating function points of development project in IoT systems case study
Original language description
Function point analysis (FPA) is a commonly used approach for measuring software size and evaluating software functionality from the end user’s perspective, usually based on a requirements specification. This paper explores a methodology for estimating function points in development projects using a structured model with the data flow diagram based on the Internet of Things (IoT) system specifications. The motivation for this research stems from the increasing development of IoT systems that require quantification of their size and effort. However, IoT systems pose a particular challenge as they contain hardware components, distinguishing them from traditional software solutions. To validate the methodology, a case study was conducted on the IoT infrastructure of a hydroponic farm in the Philippines to demonstrate the applicability and effectiveness of the approach for IoT systems.
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
2024
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
978-3-031-70594-6
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
13
Pages from-to
282-294
Publisher name
Springer
Place of publication
Cham
Event location
Virtual, Online
Event date
Apr 25, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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