For native appsdevelopment, each mobile software platform provides a custom software development kit (SDK) that consists in a set of tools allowing you to design, develop, build and manage the process of app development. Most of them enable you to create a package version of the app suited to be published on the target store. Generally in each SDK there are compilers to translate the source code in the mobile platform reference language (e.g., Objective-C for iOS, Java for Android, C# or C++ for Windows Phone, C/C++/Qt for Blackberry 10) into an executable, the standard libraries with public interfaces and other tools such as the visual editors and the simulators in order to help the development. The development environment takes advantages of the mobile operating system and the software component related to runtime environments (e.g., the Android Dalvik Virtual machine or the Windows WinRT runtime environment) and the applications frameworks (e.g., Windows Silverlight, Apple Cocoa Touch). Mobile native apps are designed for a target mobile platform by using native programming languages and because of that they have access to all features of the device ensuring optimum performance.
Finally the last layer is the application layer where resides application software both as native software that web-based software. iOS and Windows 8 are proprietary systems developed respectively by Apple and Microsoft. Also to promote appsdevelopment, such companies provides the software development kit and tools. iOS was developed by Apple as an OS adapted to different Apple devices (the so- called i-device that is iPad or iPhone) that is however a customized version of the OS X system that equips Apple computers. It presents an open source unix kernel called Mach kernel and a proprietary graphical interface (Acqua). Android OS represents the first open source mobile platforms that includes not only the operating system but a middleware and applications. It was developed by a group of companies of which the most famous is Google as an open source based on the Linux kernel. The interesting layer is the application runtime layer. Finally Windows Phone and the Windows 8 version for tablets are the customized version of the main Microsoft Windows 8 for mobile devices and with this version of the OS share most of their functionalities. From apps developer perspective the most interesting layer is the application framework that presents the runtime environment where applications are executed and could be linked to the several libraries related to the core and media services. In the iOS system, the native apps that could take full advantage of the hardware are written in the Objective C language, a proprietary object programming language that is however compatible with the standard C language. This layer contains all useful services and libraries (e.g., the graphical libraries such as OpenGL ) and these are the software tools
Selection and/or peer review under responsibility of Prof. Dr. Ayse ÇakÕr Ilhan. Keywords: interface design, mobile appsdevelopment, user-centered design, mobile user interface
Mobile applications (herein as ‘mobile apps’) are designed to run on smartphone platforms. With recent emergence of Apple Apps Store, Google Play (known as Android Marketplace previously), Nokia Ovi Store, Windows Phone Marketplace and Amazon App Store open up a huge possibility for designers and developers alike. Apps are downloadable to a specific platform, which depends on the type of mobile one owns that allow to gain access to the stores.
The scoring scale in Table 3 is obviously non-linear. This is consistent with CLT theory in that a difficult step, imposing high cognitive load, will impact considerably more upon cognitive resources than a simple step that entails lower cognitive load, and might even block progress completely. Given this effect, the choice of the value 4 rather than, say, 5 or 10 is discretionary, but has proven useful for our analysis in these mobile app development environments. Likewise, we note the presence of a cognitive load reduction factor by subtracting 2 from the score for the step. Again, this judgement is discretionary, and is based on the supposition that a factor that reduces cognitive load would typically offset a medium-level factor that increases cognitive load. Both of these factor levels require a level of mindfulness from the user rather than just an acknowledgment of their existence.
The formal lecturing faced many problems in teaching and learning such as not promote the Higher-Order Thinking Skills, too depend on teachers, lack of students engagement, and bored. The purpose of the research is to develop the mobile app concern on Higher-Order Thinking Skills which focusing on course of MPPP 1223 Authoring System among master students in Faculty of Education students. The research is also aimed to develop mobile app based on of Higher-Order Thinking Skills concept among students, study its acceptance, and evaluate the students’ perception to this app. In this development, several objectives have been identified as follow:
OS compatibility testing: The web application has to be compatible with different platforms such as Windows, Unix, Mac, Linux etc. New technologies used in web development like graphics design, interface calls etc. may not be available in all operating systems. Therefore it is obligatory to test and ensure that the developed solution performs seamlessly across various platforms.
23 XAML Stands for Extensible Application Markup Language. It is a User Interface framework and it offers an extensive library of controls that support UI development for Windows. Some of them have a visual representation such as a Button, Textbox and TextBlock etc; while other controls are used as the containers for other controls or content, such as images etc. All the XAML controls are inherited from “System.Windows.Controls.Control”.
II. MOTIVATION FOR APPS ’ DEVELOPMENTApps are a kind of software programs that perform specific tasks for the mobile users. Usually an app is downloaded by a store to be installed and run in a handheld device. Sometimes for the specific type of apps (e.g., those related to social networks) the execution could refer to the web platform. Initially, most famous apps were born in the context of social network as an easy way to access to social tools like Facebook or Twitter from mobile devices, but are becoming a kind of software that could perform every kind of task both for personal or work activities. From a design point of view, an app is characterized by a graphical element or widget that could be easily started with a touch. This feature allows the user to use the application software in the same way despite the mobile platforms he/she uses. But apps’ structure is generally rigidly defined. For example, an Android app has a pre-defined structure with code and resource organized into a number of folders, and the layout is described by different XML files that help to define the widgets (buttons, text fields and so forth) that combine the application. Anyhow an apps should be designed to solve a real problem and not as a simple add-ons. In developing an app, the developer should consider the scope, the technologies and the mobile platforms. The app is becoming the new form of application software considering that mobile devices market (known also as ultra mobile market) that
In August 2014, IBM commissioned Forrester Consulting to examine the impact of “good” or “bad” mobile applications on a company’s brand, revenue, and cost structure through primary research and the creation of a cost framework and model. Forrester performed three studies to identify the characteristics of good and bad mobile apps from the enterprise and consumer perspective, surveying 200 IT and business professionals and over 1000 consumers in the US, Canada, India, and the UK. The third study conducted follow up interviews with executives for whom mobile application development is a key part of their strategy. With this data, Forrester applied its Total Economic Impact™ (TEI) approach to assessing the costs, benefits, and risks of effective mobile app development and delivery.
Tomorrow’s marketing plans must recognize the important role apps play in customer engagement and provide marketing-orientated services and hooks for developers to extend their apps for seamless interactions. As the app revolution continues, we will continue to see the level of abstraction of services for apps rise to a point where marketers can define entire activities within a customer journey and consume business activities (including joining a customer community or requesting real-time support) provided by multiple apps and cloud app platforms. We have already seen the incredible productivity improvement higher levels of abstract offer in PaaS versus IaaS. Journey Builder, and a solid app strategy, signals the next wave of abstraction for business services and app composition.
In this paper, we examined the real-world privacy impact of apps using apparently extraneous permissions. Using a sample of 1 400 apps, we determined that approximately one quarter of them con- tained libraries that were able to leverage permissions that appear to be used extraneously. In most cases, this allowed libraries to access the location of a device, and in other cases allowed access to the camera, microphone or contact address book. Worryingly, we found that many extraneous permissions were sometimes used in the background, i.e., not as a result of user interaction with the app. Finally, by using real-world data from over 28 000 users, we showed that up to 43.5% of apps can be replaced with a preferable functionally-similar alternative. As smartphones become more in- grained in our daily lives, it is becoming increasingly important to understand the consequences of using the apps we choose. By highlighting these concerns and showing that alternative choices are available, we aim to transfer power to preserve privacy to the hands of users, where it should always be.
Results: Table VII shows that a micro-app written for the BlackBerry platform contains two (+125%) to more than six (+553%) times as many lines of code as the equivalent Android micro-app. The differences in number of files are even larger (+850%). This difference is not merely due to differences in coding style of the developers developing the Android and BlackBerry apps, since the Google Authenticator micro-apps (developed by the same company) also show these differences. If source code volume is a good indicator of development effort, more effort seems to be needed on the BlackBerry platform. However, since most BlackBerry micro-apps contain both their own source code, as well as the source code for third party libraries, it is necessary to break down the volume metrics across micro-app and third party code (Table VIII).
To obtain favorable ratings for their apps, developers often present rating screens to users who are believed to like the app. Further, to suppress poor ratings, some app-developers neglect to send every rating to the app store. Thus app-ratings are affected by selection bias and by preferential reporting.
Abstract—Ranking fraud in the mobile App market refers to fraudulent or deceptive activities which have a purpose of bumping up the Apps in the popularity list. Indeed, it becomes more and more frequent for App developers to use shady means, such as inflating their Apps’ sales or posting phony App ratings, to commit ranking fraud. While the importance of preventing ranking fraud has been widely recognized, there is limited understanding and research in this area. To this end, in this paper, we provide a holistic view of ranking fraud and propose a ranking fraud detection system for mobile Apps. Specifically, we first propose to accurately locate the ranking fraud by mining the active periods, namely leading sessions, of mobile Apps. Such leading sessions can be leveraged for detecting the local anomaly instead of global anomaly of App rankings. Furthermore, we investigate three types of evidences, i.e., ranking based evidences, rating based evidences and review based evidences, by modeling Apps’ ranking, rating and review behaviors through statistical hypotheses tests. In addition, we propose an optimization based aggregation method to integrate all the evidences for fraud detection. Finally, we evaluate the proposed system with real-world App data collected from the iOS App Store for a long time period. In the experiments, we validate the effectiveness of the proposed system, and show the scalability of the detection algorithm as well as some regularity of ranking fraud activities.
This paper describes the design and development of a Web App and two Native Apps for use in a prospective observational study whose aim is to examine what psychoso- cial factors influence distress levels in patients throughout the duration of one cycle of In Vitro Fertilisation (IVF) treatment. The study uses a number of questionnaires which ask patients to report their health status in relation to their infertility and its treatment. The patients need to be signalled to complete the questionnaire at different time points throughout the treatment process. To support this, a Smartphone applica- tion (IVF App) has been designed so that, at each selected time point, the patient re- ceives a reminder to complete the set of questionnaires. One of the questionnaires has different questions presented on different days. Each time they complete the ques- tionnaires, response data is sent to a server for analysis.
Please note that the "Mobile Apps" related activities as specified in this contract / Service Level Agreement/ Tender document are confidential. It shall be responsibility of the Tenderer to take all necessary precautions and measures to maintain utmost confidentiality with regard to each and every stage of work. Further, Tenderer shall not use or disclose any Confidential Information of the Institute except as specifically contemplated herein. For purposes of this Contract / Service Level Agreement / tender, "Confidential Information" means information that: