Cross-platform Development Frameworks Research Articles

Comparison of performance of Xamarin and Flutter cross-platform frameworks

This article conducts a performance comparative study of two cross-platform development frameworks: Flutter and Xamarin. For this purpose, two test applications running on Android were developed, implementing the same functions, i.e. CRUD operations on the database and sorting an array of objects by the Merge Sort algorithm. Tests were performed on an emulator and on a physical device. The sorted arrays had different sizes, and database operations were performed for different sizes of data sets. The metric used for comparisons was the average implementation time of a given operation. The analysis of the research results showed that Xamarin was definitely more efficient in three CRUD operations, while Flutter performed computational operations, which in this case was sorting, much faster.

DEVELOPMENT OF MOBILE APPLICATION FOR SIGN LANGUAGE TRANSLATION USING DEEP LEARNING TECHNIQUE

Sign Language is a visual and gestural language used by deaf and hard-of-hearing people to communicate. However, communication between hearing and non-hearing individuals can be challenging due to the language barrier. In order to overcome this barrier, a Mobile based Translator is being proposed using Convolutional Neural Network (CNN) to recognize and translate hand gestures in real-time. The proposed system consists of a CNN model trained on a large dataset of hand gestures that includes various signs, such as the alphabet, numbers, and common phrases to recognize various signs, and a backend server to handle the translation of the recognized signs into text. The system was implemented using various CNN architectures like ResNet, MobileNet and VGG-16, where the later gave the best accuracy of 97.69%. The trained VGG-16 model recognizes the signs by extracting features from the images of the hand gestures and using these features to classify the gestures. Once a gesture is recognized, the backend server translates it into text using a pre-defined mapping of signs to words or phrases. The translated text will then be displayed to the user in real-time on the mobile app, enabling seamless communication between hearing and non-hearing individuals. The proposed system was implemented as a mobile app using Flutter, which is a cross-platform development framework. This mobile app make communication easier for vulnerable and enable sharing of information without any discrimination.

A Comprehensive Analysis and Strategy Development for Maximizing Code Reusability in Cross-Platform Development Frameworks

This examination offers an in-depth exploration of code reusability for cross-platform improvement. With the growing desire for software program solutions to be well matched throughout numerous systems, cross-platform improvement has gained great prominence. But the balance between maximizing code reusability and catering to platform-specific customization requirements remains a difficult problem. This study on the whole aims to assess the volume of code reuse across unique cross-platform development frameworks, examine the effect of platform-specific customization on code reusability, and suggest techniques to beautify code reuse in this context. A combined-method technique was employed, combining quantitative data analysis of several open-supply initiatives with qualitative records collected through expert interviews. An examination of popular cross-platform frameworks, which include Flutter, React Native, Xamarin, and Ionic, discovered the inherent differences affecting code reusability. Furthermore, an empirical study was carried out to determine the impact of platform-specific customization on code reuse. The findings indicate a sizable variance in code reusability across different frameworks, and the necessity for platform-specific customization certainly impacts code reusability. But this research additionally provides a group of powerful techniques, such as the use of layout styles, element-primarily based improvement, abstracting platform-specific code, utilization of go-platform libraries, code refactoring, computerized testing, and continuous integration/non-stop deployment, to maximize code reusability. This observation provides essential insights for developers, researchers, and choice-makers within the discipline of mobile platform improvement. Future studies can build upon these findings to further delve into this critical component of software improvement

Comparing the Performance of Flutter and ReactJS for Web Development

This research paper aims to assess the performance of Flutter, a cross-platform development framework, as compared to other widely-used web development frameworks like ReactJS for developing web applications. The study will analyse the advantages and limitations of each framework with respect to cross-platform compatibility, development time, and community support. The research aims to provide significant insights to web developers seeking to build efficient and user-friendly cross-platform web applications. By comparing the frameworks' performance, this research will offer valuable guidance for selecting the most suitable framework for developing high-performing cross-platform web applications

EFFECTIVE CROSS-PLATFORM MOBILE APP DEVELOPMENT USING PROGRESSIVE WEB APPS, DEEP LEARNING AND NATURAL LANGUAGE PROCESSING

The proposed system uses Natural Language Processing (NLP) and Deep Learning (DL) techniques to extract voice data and translate it to text during medical consultations. Iterative model was adopted in the design of the system and the user interfaces was implemented by using NLP techniques, especially speech recognition and natural language understanding. Deep learning algorithm shows a great ability to build clinical decision support systems by extracting various information for medical diagnosis and produce result is few seconds. The result form the system testing shows that the installation size of the Progressive Web App (104 KB) is 42 times smaller than the native Android app (4.37 MB). In terms of render-speeds, the PWA rendered different results. The native app will launch the Android activity after 1408 ms after app icon tap (launch), while the progressive web app launches the application in 230 ms. The advent of cross-platform application development frame-works have made it much easier to create applications for multiple platforms for mobile devices. In spite of reduced learning effort, usually lower costs, and a faster time-to-market cross-platform methods always do not prevail in most cases. Although there are normal exclusions – like graphic-intensive games, which should to be programmed with the native software development kits (SDKS), choice between native apps, cross-platform generated ones, and Web apps can remain delicate. Whereas many diverse efforts have been made with respect to how cross-platform development frameworks ought to work, no technology is deemed unequivocally superior than the others. But a cross-platform mobile app has got an edge over native app development. It also recommends that developers adopt this technology of mobile app development due to its huge gains.

Industrial Practitioner Perspective of Mobile Applications Programming Languages and Systems

The growth of mobile application development industry made it crucial for researchers to study the industry practices of choosing mobile applications programming languages, systems, and tools. With the increased attention of cross-platform mobile applications development from both researchers and industry, this paper aims at answering the question of whether most of the industries are using cross-platform development or native development. The paper collects feedback about industry’s most used mobile development systems. In addition, it provides a map of the different technologies used by mobile applications development companies according to some of the demographics like company size and location. An online questionnaire is carried out to collect the data. The survey targeted both amateur and professional mobile developers. A total of 85 participants participated in answering the survey. Qualitative analysis using descriptive statistics is done on the results of the survey. Although the results show that there is an industrial trend towards using the cross-platform languages, native development is still used by the well-established companies. More than 50% of the participants are found to be aware of the performance issues of the cross-platform development languages and frameworks. Comparison with findings of related work is discussed which raises more research questions and draws out future research in this field.

KILO - Fitness application with posture estimation

The lockdown measures taken by countries across the globe in light of the COVID-19 pandemic has made people realize the importance of a healthy lifestyle. As more people try to change their habits to adopt fitness routines, they tend to perform exercises without knowing which ones are for beginners and how long they should be working out for. In proposed work, we focus on implementing a fully functional workout app built using flutter, a cross-platform development framework to develop applications for iOS and android, supported by a backend service provided by firebase. This paper surveys different technologies used in pose estimation /classification as well as the different architectures used for the app development in Flutter. It also focuses on the importance of yoga and a technology aided approach for performing yoga poses. The grave nature of challenges faced while doing yoga such as performing it with incorrect form or postures as well as the cost of classes. With novel computer vision techniques, human pose estimation sees a great future. The work delves into the means of deploying yoga pose estimation on an android application, the modeling of the app and the working of each component.

A comparative analysis of performance of Flutter and Xamarin development frameworks

This article presents a comparative performance analysis of two cross-platform development frameworks Flutter and Xamarin. Using these technologies identical test applications running on Windows and Android were created. Each of these applications included functionalities to run test scenarios. They concerned calculating the 30th word of the Fibonacci sequence, sorting with the MergeSort algorithm lists consisting of five thousand and ten thousand elements, performing basic database operations on the database, such as record, reading, searching, modifying and deleting data. The scenarios were repeated ten thousand times, and the average execution times of the operations were analyzed. The results did not conclusively show which framework is more efficient. However, in general, it can be concluded that for applications running on Android and Windows that perform a lot of calculations or save large amounts of data or search and at the same time modify data, the Flutter framework will be a better solution.

Development of Physical Layer Security Simulation Platform

With the rapid development of modern communication technology, more and more attention has been paid to the security of communication. In recent years, the physical layer security technology provides a new way to solve the problem of secure transmission in wireless communication. Physical layer security has become a hot research topic, but there is no special physical layer security simulation platform to provide great help for technical research. In view of this situation, this paper develops a physical layer security simulation platform based on the cross platform development framework QT, which provides visual demonstration and performance evaluation functions for specific technologies. The platform is developed with C plus plus language, and different simulation scenarios are customized for different technical schemes to simulate the simulation process. Starting from the architecture of the simulation platform, this paper presents the simulation process and evaluation results of several selected physical layer security directions, and describes the simulation platform in detail.

An empirical investigation of performance overhead in cross-platform mobile development frameworks

The heterogeneity of the leading mobile platforms in terms of user interfaces, user experience, programming language, and ecosystem have made cross-platform development frameworks popular. These aid the creation of mobile applications – apps – that can be executed across the target platforms (typically Android and iOS) with minimal to no platform-specific code. Due to the cost- and time-saving possibilities introduced through adopting such a framework, researchers and practitioners alike have taken an interest in the underlying technologies. Examining the body of knowledge, we, nonetheless, frequently encounter discussions on the drawbacks of these frameworks, especially with regard to the performance of the apps they generate. Motivated by the ongoing discourse and a lack of empirical evidence, we scrutinised the essential piece of the cross-platform frameworks: the bridge enabling cross-platform code to communicate with the underlying operating system and device hardware APIs. The study we present in the article benchmarks and measures the performance of this bridge to reveal its associated overhead in Android apps. The development of the artifacts for this experiment was conducted using five cross-platform development frameworks to generate Android apps, in addition to a baseline native Android app implementation. Our results indicate that – for Android apps – the use of cross-platform frameworks for the development of mobile apps may lead to decreased performance compared to the native development approach. Nevertheless, certain cross-platform frameworks can perform equally well or even better than native on certain metrics which highlights the importance of well-defined technical requirements and specifications for deliberate selection of a cross-platform framework or overall development approach.

Distribution of Mobile Apps Considering Cross-Platform Development Frameworks in Android Environment

Distribution of Mobile Apps Considering Cross-Platform Development Frameworks in Android Environment

Animations in Cross-Platform Mobile Applications: An Evaluation of Tools, Metrics and Performance.

Along with the proliferation of high-end and performant mobile devices, we find that the inclusion of visually animated user interfaces are commonplace, but that research on their performance is scarce. Thus, for this study, eight mobile apps have been developed for scrutiny and assessment to report on the device hardware impact and penalties caused by transitions and animations, with an emphasis on apps generated using cross-platform development frameworks. The tasks we employ for animation performance measuring, are those of (i) a complex animation consisting of multiple elements, (ii) the opening sequence of a side menu navigation pattern, and (iii) a transition animation during in-app page navigation. We employ multiple performance profiling tools, and scrutinize metrics including frames per second (FPS), CPU usage, device memory usage and GPU memory usage, all to uncover the impact caused by executing transitions and animations. We uncover important differences in device hardware utilization during animations across the different cross-platform technologies employed. Additionally, Android and iOS are found to differ greatly in terms of memory consumption, CPU usage and rendered FPS, a discrepancy that is true for both the native and cross-platform apps. The findings we report are indeed factors contributing to the complexity of app development.

Static and Dynamic Analysis of Android Malware and Goodware Written with Unity Framework

Unity is the most popular cross-platform development framework to develop games for multiple platforms such as Android, iOS, and Windows Mobile. While Unity developers can easily develop mobile apps for multiple platforms, adversaries can also easily build malicious apps based on the “write once, run anywhere” (WORA) feature. Even though malicious apps were discovered among Android apps written with Unity framework (Unity apps), little research has been done on analysing the malicious apps. We propose static and dynamic reverse engineering techniques for malicious Unity apps. We first inspect the executable file format of a Unity app and present an effective static analysis technique of the Unity app. Then, we also propose a systematic technique to analyse dynamically the Unity app. Using the proposed techniques, the malware analyst can statically and dynamically analyse Java code, native code in C or C ++, and the Mono runtime layer where the C# code is running.

The Web Development Technology Research of Cross Platform Mobile Application

In the current network applications, mobile Internet product development becomes more and more popular, in order to meet the application development of simple, low cost and cross platform adaptation needs, based on the HTML5 technology, jQuery Mobile and PhoneGap development framework, a cross platform development framework based application development model, the mobile Web application implementation of interactive experience comparable to the native applications.

The Design of Instant Messaging System Based on Qt-Android System

The main research work and its technical characteristics of this article are: Apply Java language, MySQL database to complete the design and development of instant messaging software on the basis of cross-platform Qt development framework and Android operating system, reflecting the cross-platform design ideas; the introduction of a multi-threaded server based on decision tree and decision-making mechanism, after the original user message encrypted MD5 algorithm, information is placed in UDP packets for network transmission, so that the system has excellent time response and security feature. In order to optimize the man-machine interface, with the QT development platform, the client adopt the popular MVC design pattern and decorative design pattern.