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Journal of Computer Sciences Institute
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Journal of Computer Sciences Institute
Article . 2024
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Performance comparison of the Java and Kotlin programming languages based on an auto-scroller mobile game

descriptionPublicationkeyboard_double_arrow_right Article 30 Dec 2024Publisher:Politechnika LubelskaJournal:Journal of Computer Sciences Institute, volume 33, pages 285-291 (eissn: 2544-0764, Copyright policy )
Authors: Piotr Gajek; Małgorzata Plechawska-Wójcik;

doi: 10.35784/jcsi.6314

Performance comparison of the Java and Kotlin programming languages based on an auto-scroller mobile game

Abstract

The article contains a performance comparison of two mobile applications, developed in the Java and Kotlin programming languages respectively. The applications took the form of an auto-scroller game and shared their graphics assets. The aim of the work was to confirm or reject the hypothesis: Java is slightly more efficient than Kotlin in the presented context. The subject of comparison was the consumption of CPU, RAM and the device’s battery resources. The mentioned metrics were obtained using the Android Profiler tool. The study was conducted using two mobile devices. The results confirm the research hypothesis.

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Keywords

Electronic computers. Computer science, Information technology, QA75.5-76.95, mobile application, performance comparison, T58.5-58.64, Java, Kotlin

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Published in a Diamond OA journal