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Driver behavior profiling: An investigation with different smartphone sensors and machine learning Open
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of…
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Application of Firebase in Android App Development-A Study Open
The web application has become more and more reliant upon large amount of database and unorganized data such as videos, images, audio, text, files and other arbitrary types.It is difficult for Relational Database Management System (RDBMS) …
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A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak Open
The analysis revealed that various applications have been developed for different functions like contact tracing, awareness building, appointment booking, online consultation, etc. However, only a few applications have integrated various f…
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Mobile Sensing at the Service of Mental Well-being Open
Measuring mental well-being with mobile sensing has been an increasingly active research topic. Pervasiveness of smartphones combined with the convenience of mobile app distribution platforms (e.g., Google Play) provide a tremendous opport…
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Developing a Framework for Evaluating the Patient Engagement, Quality, and Safety of Mobile Health Applications Open
This brief describes criteria for evaluating mobile apps for high-need, high-cost populations based on potential to improve patient engagement, quality, and safety.
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Accessibility issues in Android apps Open
Mobile apps are an integral component of our daily life. Ability to use mobile apps is important for everyone, but arguably even more so for approximately 15% of the world population with disabilities. This paper presents the results of a …
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Comparing the Self-Report and Measured Smartphone Usage of College Students: A Pilot Study Open
The result shows there are significant cognitive bias in actual usage patterns exists in self report of smartphone addictions. Clinicians are recommended to utilize measurement tools in diagnosis and treatment of smartphone overusing subje…
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Automated test input generation for Android: are we really there yet in an industrial case? Open
Given the ever increasing number of research tools to automatically generate inputs to test Android applications (or simply apps), researchers recently asked the question "Are we there yet?" (in terms of the practicality of the tools). By …
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Unblind your apps Open
Datasets and Trained models for ICSE 2020 "Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning"
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Mobile Apps for Blood Pressure Monitoring: Systematic Search in App Stores and Content Analysis Open
This study provides an overview of the best apps currently available in the app stores and important key features for self-management that can be used by health care providers and patients with hypertension to identify a suitable app targe…
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GUILeak Open
The Android mobile platform supports billions of devices across more than 190 countries around the world. This popularity coupled with user data collection by Android apps has made privacy protection a well-known challenge in the Android e…
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FraudDroid: automated ad fraud detection for Android apps Open
Although mobile ad frauds have been widespread, state-of-the-art approaches in the literature have mainly focused on detecting the so-called static placement frauds, where only a single UI state is involved and can be identified based on s…
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How private is your period?: A systematic analysis of menstrual app privacy policies Open
Menstruapps are mobile applications that can track a user’s reproductive cycle, sex life and health in order to provide them with algorithmically derived insights into their body. These apps are now hugely popular, with the most favoured b…
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Experimental Study with Real-world Data for Android App Security Analysis using Machine Learning Open
Although Machine Learning (ML) based approaches have shown promise for Android malware detection, a set of critical challenges remain unaddressed. Some of those challenges arise in relation to proper evaluation of the detection approach wh…
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AndroZoo++: Collecting Millions of Android Apps and Their Metadata for the Research Community Open
We present a growing collection of Android apps collected from several sources, including the official Google Play app market and a growing collection of various metadata of those collected apps aiming at facilitating the Android-relevant …
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Medication management support in diabetes: a systematic assessment of diabetes self-management apps Open
A large proportion of diabetes self-management apps lacked features for enhancing medication adherence and safety. More emphasis should be given to the design of medication management features in diabetes apps to improve their alignment to…
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How Developers Talk About Personal Data and What It Means for User Privacy Open
While online developer forums are major resources of knowledge for application developers, their roles in promoting better privacy practices remain underexplored. In this paper, we conducted a qualitative analysis of a sample of 207 thread…
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Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild Open
This paper describes a real world deployment of a context-aware mobile app recommender system (RS) called Frappe. Utilizing a hybrid-approach, we conducted a large-scale app market deployment with 1000 Android users combined with a small-s…
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The Rise of the Citizen Developer: Assessing the Security Impact of Online App Generators Open
Mobile apps are increasingly created using online application generators (OAGs) that automate app development, distribution, and maintenance. These tools significantly lower the level of technical skill that is required for app development…
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Android apps and user feedback: a dataset for software evolution and quality improvement Open
Nowadays, Android represents the most popular mobile platform with a market share of around 80%. Previous research showed that data contained in user reviews and code change history of mobile apps represent a rich source of information for…
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An Indoor Positioning Method for Smartphones Using Landmarks and PDR Open
Recently location based services (LBS) have become increasingly popular in indoor environments. Among these indoor positioning techniques providing LBS, a fusion approach combining WiFi-based and pedestrian dead reckoning (PDR) techniques …
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An Explorative Study of the Mobile App Ecosystem from App Developers' Perspective Open
With the prevalence of smartphones, app markets such as Apple App Store and Google Play has become the center stage in the mobile app ecosystem, with millions of apps developed by tens of thousands of app developers in each major market. T…
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Rancangan Aplikasi Game Edukasi Berbasis Mobile Menggunakan App Inventor Open
Mobile technology has penetrated into the learning media in the form of games, one of which is an educational game. Educational games are designed to change the learning patterns of children, typically by seeing teachers writing on the flo…
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Toward Automatically Generating Privacy Policy for Android Apps Open
A privacy policy is a statement informing users how their information will be collected, used, and disclosed. Failing to provide a correct privacy policy may result in a fine. However, writing privacy policy is tedious and error-prone, bec…
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LibID: reliable identification of obfuscated third-party Android libraries Open
Third-party libraries are vital components of Android apps, yet they can also introduce serious security threats and impede the accuracy and reliability of app analysis tasks, such as app clone detection. Several library detection approach…
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Bug Fixes, Improvements, ... and Privacy Leaks - A Longitudinal Study of PII Leaks Across Android App Versions Open
Is mobile privacy getting better or worse over time?In this paper, we address this question by studying privacy leaks from historical and current versions of 512 popular Android apps, covering 7,665 app releases over 8 years of app version…
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Towards a Landmark-Based Pedestrian Navigation Service Using OSM Data Open
With the advent of location-aware smartphones, the desire for pedestrian-based navigation services has increased. Unlike car-based services where instructions generally are comprised of distance and road names, pedestrian instructions shou…
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Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles Open
The prevalence of smart mobile devices has promoted the popularity of mobile\napplications (a.k.a. apps). Supporting mobility has become a promising trend in\nsoftware engineering research. This article presents an empirical study of\nbeha…
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Design and implementation of a smart monitoring system for water quality of fish farms Open
Fish farms are one of the most important sources of profitability for farmers. Therefore, these farms must be cared for and monitored continuously. the paper discuss a smart system monitoring in a new way that we designed to monitor the qu…
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A deep learning-based smartphone app for real-time detection of five stages of diabetic retinopathy Open
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