Why Did Developers Migrate Android Applications From Java to Kotlin?

According to studies of the World Health Organization at least around 1. 35 million deaths and between 20 to 50 million injuries are caused due to car accidents, due to this fact the present research work seeks to mitigate this figure before the problem of car accidents on the roads of Lima, that is why a mobile application was designed whose objective is to detect and report accidents, when performing this action the driver sends his contact information (ID, phone, email, family number) and location in real time to the nearby authorities such as police stations or hospitals and likewise the message comes as a notification to their families. For its development we used the agile methodology Scrum whose structure was very useful to display the information proposed, also design tools such as Balsamiq and Marvel App were used to create the interface. Finally, it is concluded that car accidents is a problem that negatively affects our society, also with the application it was possible to design an interactive application that will be very useful for drivers if it is ever implemented, on the other hand, this research seeks to encourage researchers to use technological means to improve the quality of life of people and thus continue to advance as a socie.

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“…Kotlin: Kotlin is a programming language, so declared Google in 2017. Kotlin is mainly used to develop Android applications [15].…”

Section: )mentioning

confidence: 99%

Prototype of a Mobile Application for the Detection of Car Accidents on the Roads of Peru

Huamaní

Leon-Ayala

Mantari

et al. 2023

IJRITCC

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“…The mobile application created especially for this study is a (turnip) movie database application with master/detail navigation, whose data comes from The Movie Database API 3 . In our opinion, this application is fairly representative of a mobile application in app stores today (with the exception of video games).…”

Section: B Validation Appmentioning

confidence: 99%

“…Targeting both the iOS and Android platforms is crucial to reach the largest customer market. Android development has historically been done natively in Java, and more recently in Kotlin, to which more and more developers are migrating [3]. Native development on iOS was done in Objective-C before it was gradually replaced by the Swift language.…”

Section: Introductionmentioning

confidence: 99%

Ecological Impact of Native Versus Cross-Platform Mobile Apps: A Preliminary Study

Frattaroli,

Le Goaer,

Philippot

2023

2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)

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What are the best mobile development approaches to cut the carbon footprint? To answer this question, this experience paper provides a life-size comparison of native versus crossplatform frameworks prevailing in the mobile software industry at the time of writing, namely Kotlin Multiplatform Mobile, React Native and Flutter. To do this, we collected metrics related to the package size, network traffic and battery drain issued by a boilerplate application developed following the different approaches. Our preliminary findings tend to show that the crossplatform solutions perform quite well.

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“…Mateus.B.G et al [10] explored the source code of 387 Android applications, describes the evolution of usage of Kotlin language features on these applications. Martinez.M et al [11] and Coppola.R et al [12] did research on the evolution of Java to Kotlin and believed that Kotlin can ensure the seamless migration of Android developers from Java to Kotlin.…”

Section: A Kotlinmentioning

confidence: 99%

Mapping Modern JVM Language Code to Analysis-friendly Graphs: A Pilot Study with Kotlin

Li¹,

Liu²

2022

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering

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Kotlin is a modern JVM language, gaining adoption rapidly and becoming Android official programming language. With its widely usage, the need for code analysis of Kotlin is increasing. Exposing code semantics explicitly with a properly structured format is the first step in code analysis and the construction of such representation is the foundation for downstream tasks. Recently, graph-based approaches become a promising way for encoding source code semantics. However, current works mainly focus on representation learning with limited interpretability and shallow domain knowledge. The known evolvements of code semantics in new-generation programming languages have been overlooked. How to establish an effective mapping between naturally concise Kotlin source code with graph-based representation needs to be studied by analyzing known language features. In this paper, we propose a first-sight, rule-based mapping method, using composite representation with AST, CFG, DFG, and language features. We evaluate mapping strategies with ablation experiments by simulating a code search solution as a downstream task. Our graph-based method with built-in language features outperforms the text-based way without introducing greater complexity. By addressing the practical barriers to extracting and exposing the hidden semantics from Kotlin source code, our study also helps enlighten source code representations for other modern languages.

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Why Did Developers Migrate Android Applications From Java to Kotlin?

Cited by 10 publications

References 31 publications

Prototype of a Mobile Application for the Detection of Car Accidents on the Roads of Peru

Prototype of a Mobile Application for the Detection of Car Accidents on the Roads of Peru

Ecological Impact of Native Versus Cross-Platform Mobile Apps: A Preliminary Study

Mapping Modern JVM Language Code to Analysis-friendly Graphs: A Pilot Study with Kotlin

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