5,031 research outputs found

    The Vision of the Main Mobile Apps Related to Caravanning: an Analysis of the Reviews Focusing on Users and Developers

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    Mobile applications (apps) are becoming an essential tool when it comes to sightseeing. There is even a specific category for trips in the leading app stores. These are no strangers to the rise of the itinerant travel style, the caravans. The study aims to understand the situation of the main caravanning apps in Spain. We have carried out a web scraping methodology using a sample of 1,601 Spanish reviews of the main apps related to caravanning. The most interesting findings, among others, are that we are getting to know a sector that up to now was unknown and that even has not been affected by the pandemic crisis. Besides, the paper has demonstrated that developers do not follow the right strategies in caravanning apps. The paper also shows users' most crucial concerns about these apps. Therefore, managers of caravanning apps could improve their strategies by focusing their attention on users' concerns and, most important, reviews to respondThis publication has been possible thanks to the support of Spain's Ministry of Universities which has granted David Perea with a Margarita Salas grant for the training of young PhD included in the grants for the requalification of the Spanish University System 2021-2023, financed by the European Union Next Generation E

    Understanding and measuring privacy violations in Android apps

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    Increasing data collection and tracking of consumers by today’s online services is becoming a major problem for individuals’ rights. It raises a serious question about whether such data collection can be legally justified under legislation around the globe. Unfortunately, the community lacks insight into such violations in the mobile ecosystem. In this dissertation, we approach these problems by presenting a line of work that provides a comprehensive understanding of privacy violations in Android apps in the wild and automatically measures such violations at scale. First, we build an automated tool that detects unexpected data access based on user perception when interacting with the apps’ user interface. Subsequently, we perform a large-scale study on Android apps to understand how prevalent violations of GDPR’s explicit consent requirement are in the wild. Finally, until now, no study has systematically analyzed the currently implemented consent notices and whether they conform to GDPR in mobile apps. Therefore, we propose a mostly automated and scalable approach to identify the current practices of implemented consent notices. We then develop an automatic tool that detects data sent out to the Internet with different consent conditions. Our result shows the urgent need for more transparent user interface designs to better inform users of data access and call for new tools to support app developers in this endeavor.Die zunehmende Datenerfassung und Verfolgung von Konsumenten durch die heutigen Online-Dienste wird zu einem großen Problem für individuelle Rechte. Es wirft eine ernsthafte Frage auf, ob eine solche Datenerfassung nach der weltweiten Gesetzgebung juristisch begründet werden kann. Leider hat die Gemeinschaft keinen Einblick in diese Verstöße im mobilen Ökosystem. In dieser Dissertation nähern wir uns diesen Problemen, indem wir eine Arbeitslinie vorstellen, die ein umfassendes Verständnis von Datenschutzverletzungen in Android- Apps in der Praxis bietet und solche Verstöße automatisch misst. Zunächst entwickeln wir ein automatisiertes Tool, das unvorhergesehene Datenzugriffe basierend auf der Nutzung der Benutzeroberfläche von Apps erkennt. Danach führen wir eine umfangreiche Studie zu Android-Apps durch, um zu verstehen, wie häufig Verstöße gegen die ausdrückliche Zustimmung der GDPR vorkommen. Schließlich hat bis jetzt keine Studie systematisch die gegenwärtig implementierten Zustimmungen und deren Übereinstimmung mit der GDPR in mobilen Apps analysiert. Daher schlagen wir einen meist automatisierten und skalierbaren Ansatz vor, um die aktuellen Praktiken von Zustimmungen zu identifizieren. Danach entwickeln wir ein Tool, das Daten erkennt, die mit unterschiedlichen Zustimmungsbedingungen ins Internet gesendet werden. Unser Ergebnis zeigt den dringenden Bedarf an einer transparenteren Gestaltung von Benutzeroberflächen, um die Nutzer besser über den Datenzugriff zu informieren, und wir fordern neue Tools, die App-Entwickler bei diesem Unterfangen unterstützen. ii

    Software Development Analytics in Practice: A Systematic Literature Review

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    Context:Software Development Analytics is a research area concerned with providing insights to improve product deliveries and processes. Many types of studies, data sources and mining methods have been used for that purpose. Objective:This systematic literature review aims at providing an aggregate view of the relevant studies on Software Development Analytics in the past decade (2010-2019), with an emphasis on its application in practical settings. Method:Definition and execution of a search string upon several digital libraries, followed by a quality assessment criteria to identify the most relevant papers. On those, we extracted a set of characteristics (study type, data source, study perspective, development life-cycle activities covered, stakeholders, mining methods, and analytics scope) and classified their impact against a taxonomy. Results:Source code repositories, experimental case studies, and developers are the most common data sources, study types, and stakeholders, respectively. Product and project managers are also often present, but less than expected. Mining methods are evolving rapidly and that is reflected in the long list identified. Descriptive statistics are the most usual method followed by correlation analysis. Being software development an important process in every organization, it was unexpected to find that process mining was present in only one study. Most contributions to the software development life cycle were given in the quality dimension. Time management and costs control were lightly debated. The analysis of security aspects suggests it is an increasing topic of concern for practitioners. Risk management contributions are scarce. Conclusions:There is a wide improvement margin for software development analytics in practice. For instance, mining and analyzing the activities performed by software developers in their actual workbench, the IDE

    An evaluation of mobile apps for the acquisition of English as a second language

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    Este trabajo analiza once aplicaciones para móviles (Lingo kids, Duolingo, Memrise, Early Learn, Johnny Grammar, Quiz your English, Cambridge Exam Lift A2, Easy peasy, Pili Pop English, Simpler and Learn English Playtime) descargadas en Google Play Store para adquirir el inglés como segunda lengua. Las aplicaciones seleccionadas están etiquetadas como „educativas‟, „gratuitas‟ y contienen el código PEGI, lo que significa que estas apps son adecuadas para todos los públicos, incluidos los más pequeños. Este trabajo, que ha sido llevado a cabo debido a la escasez de investigaciones sobre aplicaciones para móviles para potenciar el aprendizaje, se basa en la investigación de las apps desarrolladas para promover la adquisición de una segunda lengua en niños de educación primaria aplicando los marcos teóricos y metodológicos que explican cómo se aprenden y enseñan las segundas lenguas y además, se han analizado algunas características descriptivas que hacen que las aplicaciones sean atractivas y motivadoras. Este análisis también explora las limitaciones de las aplicaciones y cómo se pueden utilizar en un aula de Educación Primaria. Los resultados demuestran que para los desarrolladores de aplicaciones la apariencia de las aplicaciones parece ser más importante que lograr el objetivo mostrado en la descripción de las aplicaciones, aprender inglés. Esto se puede explicar porque todos los aspectos descriptivos analizados están mayoritariamente presentes en las aplicaciones mientras que faltan aspectos de aprendizaje que favorezcan la adquisición del inglés.<br /

    What people complain about drone apps? a large-scale empirical study of Google play store reviews

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    Within the past few years, there has been a tremendous increase in the number of UAVs (Unmanned Aerial Vehicle) or drones manufacture and purchase. It is expected to proliferate further, penetrating into every stream of life, thus making its usage inevitable. The UAV’s major components are its physical hardware and programming software, which controls its navigation or performs various tasks based on the field of concern. The drone manufacturers launch the controlling app for the drones in mobile app stores. A few drone manufacturers also release development kits to aid drone enthusiasts in developing customized or more creative apps. Thus, the app stores are also expected to be flooded with drone-related apps in the near future. With various active research and studies being carried out in UAV’s hardware field, no effort is dedicated to studying/researching the software side of UAV. Towards this end, a large-scale empirical study of UAV or drone-related apps of the Google Play Store Platform is conducted. The study consisted of 1,825 UAV mobile apps, across twenty-five categories, with 162,250 reviews. Some of the notable findings of the thesis are (a) There are 27 major types of issues the drone app users complain about, (b) The top four complaints observed are Functional Error (27.9%), Device Compatibility (16.8%), Cost (16.2%) and Connection/Sync (15.6%), (c) The top four issues for which the UAV manufactures or Drone app developers provide feedback to user complaints are Functional Error (40.9%), Cost (33.3%), Device Compatibility (23.1%) and ConnectionSync (16%), (d) Developers respond to the most frequently occurring complaints rather than the most negatively impacting ones

    Creating an Android application to serve offer and demand for private tutors and coaches

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    https://www.ester.ee/record=b5148690*es
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