• 한국소프트웨어감정평가학회 논문지
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• 제15권1호
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• pp.11-24
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• 2019

모바일 앱 개발자는 크로스 플랫폼 개발 프레임워크를 사용하여 서로 다른 모바일 플랫폼들에 구동되는 앱들을 하나의 단계로 구현할 수 있다. 공격자들 또한 크로스 플랫폼 개발 프레임워크를 사용하여 한번 작성된 악성 코드를 여러 모바일 플랫폼들 상에 바로 수행할 수 있다. 본 논문에서는 AndroZoo 사이트로부터 수집한 안드로이드 앱들을 대상으로 크로스 플랫폼 개발 프레임워크들로 작성된 정상 앱들과 악성 앱들의 비율을 연도별로 분석한다. 분석 결과, 크로스 플랫폼 개발 프레임워크들로 작성된 정상 앱들의 비율이 지속적으로 증가하여, 2018년도에는 전체 정상 앱들에서 45%를 차지한다. 크로스 플랫폼 개발 프레임워크로 작성된 악성 앱들의 비율은 2015년에는 전체 악성 앱들에서 25%를 차지하였으나 이후 그 비율이 감소하고 있다. 이러한 연구는 크로스 플랫폼 앱 개발 시에 직면할 수 있는 여러 선택 문제들을 해결하는데 기여할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3345-3363
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• 2023

Developers often use cross-platform frameworks to create mobile apps that can run on multiple platforms with minimal code changes. However, these frameworks may not suit all the needs of a specific app, so developers may also use native APIs to add platform-specific features. This method eventually dilutes the advantages of cross-platform development methodology that aims to reduce development costs and time, and often leads to a decision to return back to the original native mobile development methodology. In this study, we explore a different approach: combining different cross-platform tools to develop a storybook mobile app that meets various requirements. We have demonstrated that integrating two cross-platform solutions can be used reliably to develop complex mobile applications. However, we also report that this approach can introduce unforeseen issues such as sandbox redundancy, unexpected functional burdens, and redundant permission requests. Despite these challenges, we believe that combining two cross-platform solutions can be applied to a variety of functional and performance requirements, enabling the development of more sophisticated mobile applications at lower costs and with shorter development timelines than traditional mobile app development methodologies.

• 한국정보통신학회논문지
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• 제16권9호
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• pp.1990-1996
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• 2012

본 논문에서는 기존 웹앱 기반의 하이브리드 모바일 앱의 실행 성능 및 사용성을 개선하기 위하여 각 모바일 운영체제가 지원하는 네이티브 UI(User Interface) 및 각종 자원을 자바스크립트(JavaScript)를 이용하여 직접 제어할 수 있는 새로운 하이브리드 모바일 앱 프레임워크인 WApplE.js를 설계하고 구현한다. WApplE.js 프레임워크의 전체 소프트웨어 구조 및 레이어별 구성에 대하여 설계 결과를 제시하고, 구현된 하이브리드 앱 프레임워크에서 사용자의 API 호출 및 처리 프로세스에 대한 분석을 수행하며, 기존 프레임워크들과 특징을 비교하여 그 결과를 제시한다.

• Asia pacific journal of information systems
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• 제33권4호
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• pp.899-933
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• 2023

The second-generation mobile instant messaging (SMIM) proliferates with various relationship management functions: group chats, audio/video chats, file sharing, real-time location sharing, and nonverbal graphics, such as emojis and stickers. This study integrates the important but often overlooked affordances theory into innovation diffusion and proposes an SMIM continuance intention model. SMIM is a social affordance platform for users to develop new friendships and maintain their relationships. Integrated diffusion of innovation and affordance theoretical frameworks, this study investigates the influence of four factors on the success of using SMIM apps to improve friendship development and relationship management. Data were collected from 231 participants using a survey questionnaire in a public university in Taiwan. The findings confirm the effects of friendship development and relationship maintenance on the intention of users to continue using SMIM apps. Implications for research and practice are discussed.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2003년도 춘계학술대회
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• pp.647-664
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• 2003

[ $\circ$ ] Enterprise architecture is essential for ROI of e-Enterprise. $\circ$ An architecture is described from business, application, data and technical views and these must be complete and consistent. $\circ$ UML-based CBD is currently the best approach to obtaining architecture-centric, flexible and interoperable systems. $\circt$ Reuse of architecture, components, shared services and app frameworks is key to achieving both quality and productivity. $\circ$ Web service, the NBT, cannot be tapped without the architecting capability. $\circ$ Architects with world-class domain as well as software engineering knowledge are key to success of Korean software industry.

• 한국통신학회논문지
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• 제37권2C호
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• pp.119-131
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• 2012

최근 스마트폰의 보급이 빠르게 확산되고, 국내 외 앱스토어를 통해 다양한 모바일 앱이 개발 배포됨에 따라 많은 사용자들이 필요에 따라 자유롭게 앱들을 설치 삭제하고 있다. 앱스토어에서 배포되는 앱들은 각각의 앱스토어 검증체계에 따라 검증되고 있으나, 보안성에 대한 부분이 미흡하며, 최근 개인정보 등 중요정보의 임의 유출로 인한 피해가 증가하면서 모바일 앱에 대한 보안성 검증 필요성이 증가하고 있다. 보다 높은 보안성을 요구하는 전자정부의 모바일 서비스 앱에 대해 보안성을 검증하기 위해서는 별도의 검증정책이 필요하다. 따라서, 본 논문은 전자정부 모바일 앱의 안전 신뢰성을 제고할 수 있는 보안성 검증체계를 제안한다. 제안된 검증체계의 효과를 분석하기 위해 시범검증을 수행하고 해당 결과를 제시한다.

• Asia pacific journal of information systems
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• 제34권1호
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• pp.150-190
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• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

• Journal of Korea Trade
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• 제24권7호
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• pp.1-28
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• 2020

Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.

• 한국인터넷방송통신학회논문지
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• 제12권6호
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• pp.49-55
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• 2012

본 전자책 뷰어에 대한 연구는 플랫폼 의존적인 단말기 네이티브 언어 기반의 연구가 많은데, 이는 메모리 사용량과 화면 렌더링 속도에서 비효율적이며, 잦은 시스템 업데이트가 존재하는 모바일 단말 플랫폼 특성상 전자책 뷰어 애플리케이션과의 호환성 문제도 발생된다. 본 논문에서는 모바일 앱 프레임워크를 이용한 전자책 뷰어를 설계하기 위해서 전자책의 파일구조를 분석하였으며 ePub 파서와 파일로더를 설계하고 MVC 모듈로 구조화하였다. 설계 및 구현한 기능을 테스트하기 위해 현재 실행되고 있는 메모리 정보를 보여주는 기능을 제공하는 DDMS와 레이아웃 구성 요소들의 관계를 보여주는 Hierarchy Viewer를 사용 하였다. 그 결과 화면 렌더링 시 150%, 힙 메모리 사용량에서 84% 향상된 성능을 확인하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2024년도 춘계학술발표대회
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• pp.53-56
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• 2024

Though lots of approaches to develop mobile apps are suggested up to now, developers have difficulties selecting a right one. This study compares native and cross-platform application development approaches, particularly focusing on the shift in preference from Java to Kotlin and the increasing use of Flutter. This research offers practical insights into factors influencing developers' choice of programming languages and frameworks in mobile application development by creating identical applications using Java, Kotlin, and Dart (Flutter). Furthermore, this study explores the best practices for development by examining the quality of code in 45 open-source GitHub repositories. The study evaluates LOC and code smells using semi-automated SonarQube assessments to determine the effects of selecting a specific language or framework on code maintainability and development efficiency. Preliminary findings show differences in the quality of the code produced by the two approaches, offering developers useful information on how to best optimize language and framework selection to reduce code smells and improve project maintainability.