多平台移动用户界面生成方法的研究

针对多平台移动用户界面开发的各种问题,提出一个模式驱动的多平台移动用户界面生成方法（Pattern-Driven Multi-Platform development of mobile user interface）,以下简称PDMP,来加快目前多个平台的用户界面开发流程的开发效率。使用PDMP,开发者可使用高等抽象层次的开发语言来进行界面开发并以此减少劳动力成本,并使用多平台或跨平台（Android & iOS）的转换技术来为每个平台自动生成纯粹的原生用户界面。提出一个虚拟平台的概念,开发者可以在虚拟平台上构建抽象用户界面并依据转换规则转换到相应的具体平台。     

“互联网+”水务巡检闭环化研究与实践

以碧圣水务公司运营水厂巡检事务管理系统建设为例,依据《全国水利信息化"十三五"规划》和水利工程标准化的事务处理闭环化理念,构建一种闭环化的水务巡检事务管理流程,提出一种利用GPS定位和二维码扫描相结合的签到巡检模式,并利用移动互联网、二维码、GPS和GIS等信息化技术及WebOS,Java技术,开发基于Android/iOS操作系统的智能巡检App和PC事务管理平台,实现多终端一体化、跨平台协同办公的水务巡检事务管理。实践表明:巡检事务管理系统能有效规范巡检事务处理流程,提高办公效率,提升数据集约共享程度。     

Dalvik在iOS上的移植

在分析Dalvik虚拟机体系结构设计的基础上,针对iOS平台研究了Dalvik移植过程中的几个关键技术,并在iOS平台上成功构建了基于Dlavik的JAVA运行环境,这对iOS手机与Android手机的跨平台应用开发具有重大应用价值。对移植后的Dalvik进行了性能分析,给出了结论,并给出了下一步的项目计划。     

Design and implementation of the WIPI-to-Android automatic mobile game converter for the contents compatibility in the heterogeneous mobile OS

Given that mobile communication companies choose different mobile platforms, game developers must create content designed specifically for each platform or use a conversion process to provide game content to consumers. In this paper, to resolve this problem, the WIPI-to-Android automatic mobile game converter was designed to automatically translate game contents from the WIPI (Wireless Internet Platform for Interoperability) for feature phones to the Android platform for smart phones. Through the WIPI-to-Android converter, resources such as images and sounds can be converted, APIs can be converted using a platform mapping engine, and source code can be translated using the source translator. These and all other content conversion functions were examined. Test results indicate that the graphics, image output, sound output, and other functions of converted Android games were equivalent to those of the WIPI games before conversion. Furthermore, most converted Android game content responded more quickly than the WIPI game content.     

基于PhoneGap的智能手机跨平台应用

目前移动操作系统主要包括Android、iOS、Window Phone、Symbian、BlackBerry OS等,应用软件相互独立,不同系统不可兼容,差异性大,造成多平台应用开发周期长,移植困难。该文在研究分析当前移动应用开发解决方案和最新移动开发技术的基础上,主要针对PhoneGap 应用开发框架、特性和原理进行分析研究,提出一种跨平台的移动应用方案,并在这个方案的基础上进行实践。     

基于J2ME的手机游戏应用现状研究

基于国内外手机游戏的发展状况,介绍了J2ME手机游戏平台及其优势和局限,对J2ME手机游戏的应用情况作了细致的分析,预测了手机游戏的发展趋势,随着手机游戏平台的不断提升和多样化,J2ME将最终被Android、iOS甚至更新的平台所替代。     

An empirical analysis of energy consumption of cross-platform frameworks for mobile development

The increasing fragmentation of mobile devices market has created the problem of supporting all the possible mobile platforms to reach the highest number of potential users. One possible solution is to use cross-platform frameworks, that let develop only one application that is then deployed to all the supported target platforms. Currently available cross-platform frameworks follow different approaches to deploy the final application, and all of them has pros and cons. In this paper, we evaluate and compare together the current frameworks for cross-platform mobile development considering one of the most important aspect when dealing with mobile devices: energy consumption. Our analysis shows and measure how the adoption of cross-platform frameworks impacts energy consumption with respect to the native mobile development, identifies which are the most consuming tasks, and tries to define a final rank among all the different approaches. Moreover, we highlight future development necessary to improve performances of cross-platform frameworks to reach native development performances.     

Model-driven development of mobile applications for Android and iOS supporting role-based app variability

Rapidly increasing numbers of applications and users make the development of mobile applications to one of the most promising fields in software engineering. Due to short time to market, differing platforms, and fast emerging technologies, mobile application development faces typical challenges where model-driven development (MDD) can help. We present a modeling language and an infrastructure for the MDD of native apps in Android and iOS. Our approach allows a flexible app development on different abstraction levels: compact modeling of standard app elements such as standard data management and increasingly detailed modeling of individual elements to cover, for example, specific behavior. Moreover, a kind of variability modeling is supported such that mobile apps with variants can be developed. We demonstrate our MDD approach with several apps including a conference app, a museum guide with augmented reality functionality, and a SmartPlug.     

基于持续集成的Android自动化测试

Android测试方面的研究大多集中在测试工具和框架的实现上,有些工具和框架可以实现测试用例的自动生成和测试脚本的自动执行。然而在项目开发过程中,测试这个活动是需要人工启动的,不能及时有效地保证新增或者修改代码的质量。在 Robotium 测试框架的基础上,通过研究持续集成方案,包括被测代码和测试代码的托管、版本控制,应用的自动构建,测试的自动执行,实现了Android的自动化测试平台。使用该测试平台,可以及时自动地对被测代码的修改进行测试,直观可控地保证了Android应用的质量。     

Studying the consistency of star ratings and the complaints in 1 & 2-star user reviews for top free cross-platform Android and iOS apps

How users rate a mobile app via star ratings and user reviews is of utmost importance for the success of an app. Recent studies and surveys show that users rely heavily on star ratings and user reviews that are provided by other users, for deciding which app to download. However, understanding star ratings and user reviews is a complicated matter, since they are influenced by many factors such as the actual quality of the app and how the user perceives such quality relative to their expectations, which are in turn influenced by their prior experiences and expectations relative to other apps on the platform (e.g., iOS versus Android). Nevertheless, star ratings and user reviews provide developers with valuable information for improving the overall impression of their app. In an effort to expand their revenue and reach more users, app developers commonly build cross-platform apps, i.e., apps that are available on multiple platforms. As star ratings and user reviews are of such importance in the mobile app industry, it is essential for developers of cross-platform apps to maintain a consistent level of star ratings and user reviews for their apps across the various platforms on which they are available. In this paper, we investigate whether cross-platform apps achieve a consistent level of star ratings and user reviews. We manually identify 19 cross-platform apps and conduct an empirical study on their star ratings and user reviews. By manually tagging 9,902 1 & 2-star reviews of the studied cross-platform apps, we discover that the distribution of the frequency of complaint types varies across platforms. Finally, we study the negative impact ratio of complaint types and find that for some apps, users have higher expectations on one platform. All our proposed techniques and our methodologies are generic and can be used for any app. Our findings show that at least 79% of the studied cross-platform apps do not have consistent star ratings, which suggests that different quality assurance efforts need to be considered by developers for the different platforms that they wish to support.     

基于云计算的水资源智能APP系统研究

以福建省水资源管理建设系统为例,基于云计算软件即服务(SaaS)的理念,提出水资源智能App构建模式。以水资源管理业务应用平台为基础,设计水资源智能App系统的总体结构;提出基于UML静态建模和动态建模相结合的App系统功能设计模型;基于ExMobi移动应用中间件,研发嵌入iOS和Android运行环境的App应用平台,融合业务功能模型,构建基于云计算的水资源智能App系统,实现监测、综合、预警、应急信息管理,以及代办提醒、新闻与公告等业务功能,为水资源管理提供实时高效的移动信息平台。     

基于图像纹理和卷积神经网络的恶意文件检测方法

在大数据环境下,针对传统恶意文件检测方法对经过代码变种和混淆后的恶意文件检测准确率低以及对跨平台恶意文件检测通用性弱等问题,提出一种基于图像纹理和卷积神经网络的恶意文件检测方法。首先,使用灰度图像生成算法将Android和Windows平台下可执行文件,即.dex和.exe文件,转换成相应的灰度图像;然后,通过卷积神经网络（CNN）算法自动提取这些灰度图像的纹理特征并加以学习训练,从而构建出一个恶意文件检测模型;最后,使用大量未知待检测的文件去验证模型检测准确率的高低。通过对大量的恶意样本进行实验,在Android和Windows平台下,模型检测最高准确率分别达到79.6%和97.6%,平均准确率分别约为79.3%和96.8%;与基于纹理指纹的恶意代码变种检测方法相比,基于图像纹理和卷积神经网络的恶意文件检测方法准确率提高了约20%。实验结果表明,所提方法能够有效避免人工筛选特征带来的问题,大幅提高检测的准确率和效率,成功解决跨平台检测问题,实现了一种端到端的恶意文件检测模型。     

基于Web技术进行移动应用开发和中间件的研究

提出了一种基于纯Web技术来进行移动应用开发的新型开发模式,并指出其可行性和意义.基于这样的一种开发模式,通过MUI和HTML5+的技术实现一个跨平台的移动端体育竞技平台.最后打包部署在包括ios、Android手机与平板等所有移动端设备上运行,验证了这样的一种开发模式的可行性与优势所在.在Web技术日益发达的今天,这样的开发方式会得到越来越广泛的关注和应用.     

Exposing mobile malware from the inside (or what is your mobile app really doing?)

It is without a doubt that malware especially designed for modern mobile platforms is rapidly becoming a serious threat. The problem is further multiplexed by the growing convergence of wired, wireless and cellular networks, since virus writers can now develop sophisticated malicious software that is able to migrate across network domains. This is done in an effort to exploit vulnerabilities and services specific to each network. So far, research in dealing with this risk has concentrated on the Android platform and mainly considered static solutions rather than dynamic ones. Compelled by this fact, in this paper, we contribute a fully-fledged tool able to dynamically analyze any iOS software in terms of method invocation (i.e., which API methods the application invokes and under what order), and produce exploitable results that can be used to manually or automatically trace software’s behavior to decide if it contains malicious code or not. By employing real life malware we assessed our tool both manually, as well as, via heuristic techniques and the results we obtained seem highly accurate in detecting malicious code.     

A Web-based, Offline-able, and Personalized Runtime Environment for executing applications on mobile devices

An increasing number of people use cell phones daily. Users are not only capable of making phone calls, but can also install applications on their mobile phones. When creating mobile applications, developers usually encounter the cross-platform incompatibility problem (for example, iPhone applications cannot be executed on the Android platform). Moreover, because mobile Web browsers have increasingly supported more and more Web-related standards, Web applications are more possible to be executed on different platforms than mobile applications. However, the problem of Web application is that it cannot be executed in offline mode. This study proposes a Web-based platform for executing applications on mobile devices. This platform provides several services for developers such as offline service, content adaptation service, and synchronization service. With the help of the proposed platform, application developers can develop and publish offline Web applications easily with simplified external Web content and synchronization capability.     

An automatically vetting mechanism for SSL error-handling vulnerability in android hybrid Web apps

A large set of diverse hybrid mobile apps, which use both native Android app UIs and Web UIs, are widely available in today’s smartphones. These hybrid apps usually use SSL or TLS to secure HTTP based communication. However, researchers show that incorrect implementation of SSL or TLS may lead to serious security problems, such as Man-In-The-Middle (MITM) attacks and phishing attacks. This paper investigates a particular SSL vulnerability that results from error-handling code in the hybrid mobile Web apps. Usually such error-handling code is used to terminate an ongoing communication, but the vulnerability of interest is able to make the communication proceed regardless of SSL certificate verification failures, eventually lead to MITM attacks. To identify those vulnerable apps, we develop a hybrid approach, which combines both static analysis and dynamic analysis to (1) automatically distinguish the native Android UIs and Web UIs, and execute the Web UIs to trigger the error-handling code; (2) accurately select the correct paths from the app entry-point to the targeted code, meanwhile avoiding the crash of apps, and populate messaging objects for the communication between components. Specifically, we construct inter-component call graphs to model the connections, and design algorithms to select the paths from the established graph and determine the parameters by backtracing. To evaluate our approach, we have implemented and tested it with 13,820 real world mobile Web apps from Google Play. The experimental results demonstrate that 1,360 apps are detected as potentially vulnerable ones solely using the static analysis. The dynamic analysis process further confirms that 711 apps are truly vulnerable among the potentially vulnerable set.     

Interactive topology optimization on hand-held devices

This paper presents an interactive topology optimization application designed for hand-held devices running iOS or Android. The TopOpt app solves the 2D minimum compliance problem with interactive control of load and support positions as well as volume fraction. Thus, it is possible to change the problem settings on the fly and watch the design evolve to a new optimum in real time. The use of an interactive app makes it extremely simple to learn and understand the influence of load-directions, support conditions and volume fraction. The topology optimization kernel is written in C# and the graphical user interface is developed using the game engine Unity3D. The underlying code is inspired by the publicly available 88 and 99 line Matlab codes for topology optimization but does not utilize any low-level linear algebra routines such as BLAS or LAPACK. The TopOpt App can be downloaded on iOS devices from the Apple App Store, at Google Play for the Android platform, and a web-version can be run from www.topopt.dtu.dk.     

Android环境下开发定位程序

在移动平台上,LBS（基于位置服务）是目前比较时尚的一个应用。但无论通过哪种方式来实现类似的服务,都必须首先实现一些最基础的功能,即实现定位、追踪和地理编码。使用Eclipse平台进行程序开发,模拟在使用Android操作系统的移动设备上,能够实现这些基本功能。     

手机二维码识别系统的设计与实现

在研究二维码及其手机识别技术的基础上,开发了基于Android平台的手机二维码识别系统,在系统架构设计中将二维码识别系统的平台支撑层、客户端应用层、云端处理层进行分层设计,保证了系统的安全性,根据需求给出系统的功能模块划分和用例分析,最后实现了手机二维码的编码解码的核心功能。