Multi-Modal API Recommendation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ALRX5A4D2" target="_blank" >RIV/00216208:11320/23:LRX5A4D2 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/10123664/" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10123664/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/saner56733.2023.00034" target="_blank" >10.1109/saner56733.2023.00034</a>
Alternative languages
Result language
angličtina
Original language name
Multi-Modal API Recommendation
Original language description
"Too many options can be a problem, which is the case for Application Programming Interfaces (APIs). As there are many such APIs, with many more being introduced periodically, it raises the problem of choosing which API to be recommended."
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
—
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)"
ISBN
978-1-66545-279-3
ISSN
2640-7574
e-ISSN
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Number of pages
12
Pages from-to
272-283
Publisher name
IEEE
Place of publication
Taipa, Macao
Event location
Taipa, Macao
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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