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Nowadays there are several different types of ways to build a mobile application, through web technologies, or through mobile manufacturers’ languages. Thus, in this study we focus on the three major mobile application development strategies: Native, Hybrid, and Web to Native. This plurality of solutions renders the selection of a mobile application development strategy complex. Hence, this study aims at understanding how developers deal with the selection of a mobile development approach. This thesis analyses their behaviour thanks to a survey that collects crucial information about developers searching habits. The latter analysis concludes that general guidelines are not sufficient to provide a tailored and accurate selection of mobile application development approach. Therefore, this study aims at improving the activity of finding a mobile application development strategy. In addition to this, the past and current states of the subject are discussed in a critical manner, which therefore results in using an analytical research approach. Knowing the aforementioned, a design science research approach is used to outline the iteration processes that occurred during this study. Each step of the study is thoroughly treated thanks to a tailored design cycle. Consequently, a mobile development strategy-finding model has been built by combining literature review and survey’s results. This model highlights the importance of the criteria extracted from the literature review and the survey. To support and allow constant self-evolution of the model, a suggestion of web platform is proposed. Finally, this model has been compared with a Titanium model. The result of this comparison outlines that the model created in this study seems more usable because it comprises the three major mobile application development strategies whereas the Titanium model only focuses in native solutions and its own hybrid solution. Moreover, the Titanium model focuses on selling its product rather than showing why it is better than the other mobile application development strategies.

This thesis explores the possibility that graphic design can have a positive impact on the morale of a male undergoing chemotherapy for testicular cancer. The paper explains the concept of “morale,” why it is vital for patients at a cancer infusion center, and subsequently how graphic design can boost morale. The supporting research fostered a socially-responsible design solution—a mobile application that intertwines design, health, and technology. The application is geared to the patient experience. As such, it can reduce anxiety by providing a distraction in the form of entertainment (as well as providing tools and an anonymous connection for the individual patient to a similar patient population). Furthermore, the application is also designed for research purposes by establishing a framework for collecting measurable data. In turn, this data can be used to enhance the chemotherapy experience—thus contributing to a positive impact on the morale of the cancer patient.

With more and more images being uploaded to social networks each day, the resources for identifying a large portion of the world are available. However the tools to harness and utilize this information are not sufficient. This thesis presents a system, called PhacePhinder, which can build a face database from a social network and have it accessible from mobile devices. Through combining existing technologies, this is made possible. It also makes use of a fusion probabilistic latent semantic analysis to determine strong connections between users and content. Using this information we can determine the most meaningful social connection to a recognized person, allowing us to inform the user of how they know the person being recognized. We conduct a series of offline and user tests to verify our results and compare them to existing algorithms. We show, that through combining a user’s friendship information as well as picture occurrence information, we can make stronger recommendations than based on friendship alone. We demonstrate a working prototype that can identify a face from a picture taken from a mobile phone, using a database derived from images gathered directly from a social network, and return a meaningful social connection to the recognized face.

With the development of modern technology, mobile communications are changing people’s life and making their day to day life activities easier. The aim of this thesis work is to address one of the modern technology solution that simplifies and act as an HMI solution between a pump drive and a operator based on smart phones.   Xylem provides a wide range of pump control units, serving several advanced features includes condition monitoring, cleaning sequence, flow calculation, energy optimizer, sump cleaning and so on. Smart run is a pump control unit, whose parameters installed at wastewater pump stations are possible to monitor and configure physically using keypad or remotely using extension communication  gateway, which is a costly solution for installations and maintenance. So, a simple working prototype HMI solution based on smart phones is interested to see how smart phone can relay information between a pump control and an operator in the vicinity of the pump.    For this approach a thorough study has been done on different types of smart phones, their trends and different possible wireless communication solutions between  operator’s smart phone  and the pump. An interactive design process with a focus on usability and data representation  on a smart phone application was developed to support their needs and provide a cost effective solution. The result showed that this approach has many benefits includes serving as cost effective HMI solution, data monitoring, better alarm monitoring with additional information, enhanced display over Smart Run’s OLED displays, multilingual support, provides easier support services and also useful as a receiver unit for dewatering pumps hardware developed in parallel with this thesis. This thesis work is carried out in Xylem Water Solutions AB[1], Stockholm, Sweden in collaboration with Mittuniversitetet[2], Sundsvall, Department of Electronics Design.  This report can be used as groundwork for future development of smart phone applications for Xylem products [1]  http://www.xyleminc.com [2]  http://www.miun.se

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / Pursuit of innovation projects with the absent of a methodology to follow hampers the development of the software product as its complexity grows since the freedom of its own advancement is confused with the lack of order on it. Traditional and agile methodologies do not adapt to this kind of projects therefore, in this paper we aim to design a model that incorporates characteristics of both of them to get a solution of a need found in society. In this study, we focus on the construction of a mobile application that answer to the lack of a system that integrates pharmaceutical products from different establishment through the appliance of usability concept with the UCD (User centered design) approach. In this case we only detail about four of the seven stages proposed in the model developed with its techniques, tools and activities conducted. Results obtained show that the model proposed achieve the expectative and its use is not limited to just mobile applications but to any kind of software project. / Revisión por pares

Master of Science / Department of Computing and Information Sciences / Daniel A. Andresen / A music player mobile application for Android is developed along with cloud server using Google’s App Engine and Firebase. This music player application provides various ways of navigating to an audio file and different music visualizer options. What’s more, the application also provides three major features: 1 user sign in and sign out, 2 display the most popular songs based on input, 3 users can submit comments and suggestions. These features are implemented by utilizing cloud services of Google’s App Engine and Firebase. Specifically, an application running on App Engine plays as a server’s role to verify user sign in. It also runs App Engine MapReduce jobs to consume large data stored in Google Cloud Storage and serves relatively small result about popular songs for the app. In addition, user’s comments and suggestions are automatically synchronized with Firebase which makes modifying and analyzing synchronized data really convenient.

The traditional or the native way to develop mobile applications is to use Java for Android and Objective-c or Swift for iOS. The native way is favored by many since the code and the functionality is optimized for the platform. An- other way to develop mobile applications is to do it the non-native way, with a programming language or technique not made for the platform. This approach has for long been frowned upon due the limited hardware access and perfor- mance loss. React Native and NativeScript offers mobile application develop- ment in a non-native way said full access to the native platforms API using JavaScript all from a single code base. The aim of this thesis has been to de- velop and compare four proof of concept applications of which two are devel- oped natively for Android and iOS and the other are developed using the non- native React Native and NativeScript. The comparison is based on three as- pects: accessing the device’s native hardware and APIs based on what the com- pany Dewire requires from mobile applications, the performance difference on the respective platform and code reusability cross platform. There is no big dif- ference between React Native and NativeScript when comparing native access and everything that was accessible on the native implementation was accessible on the non-native implementation. Based on the performance measurements, React Native falls behind NativeScript. NativeScript handles long lists better than React Native. Lastly a discussion is presented regarding code reusability when developing non-native applications along with some experienced best practices when doing so.

Context: Mobile application stores like Google Play, Apple store, Windows store have over 3 million apps. Users download the applications from their respective stores and they generally prefer the apps with the highest ratings. In response to the present situation, application stores provided the categories like editor’s choice or top charts, providing better visibility for the applications. Customer reviews play such critical role in the development of the application and the organization, in such case there might be flawed reviews or biased opinions about the application due to many factors. The biased opinions and flawed reviews are likely to cause user review untrustworthiness. The reviews or ratings in the mobile application stores are used by the organizations to make the applications more efficient and more adaptable to the user. The context leads to importance of the user’s review trustworthiness and managing the trustworthiness in the user feedback by knowing the causes of mistrust. Hence, there is a need for a framework to understand the trustworthiness in the user given feedback. Objectives: In the following study the author aims for the accomplishment of the following objectives, firstly, exploring the causes of untrustworthiness in user feedback for an application in the mobile application stores such as google play store. Secondly, Exploring the effects of trustworthiness on the users and developers. Finally, the aim is to propose a framework for managing the trustworthiness in the feedback. Methods: To accomplish the objectives, author used qualitative research method. The data collection method is an interview-based survey that was conducted with 13 participants, to find out the causes of untrustworthiness in the user feedback from user’s perspective and developer’s perspective. Author follows thematic coding for qualitative data analysis. Results:Author identifies 11 codes from the description of the transcripts and explores the relationship among the trustworthiness with the causes. 11 codes were put into 4 themes, and a thematic network is created between the themes. The relations were then analyzed with cost-effect analysis. Conclusions: We conclude that 11 causes effect the trustworthiness according to user’s perspective and 9 causes effect the trustworthiness according to the developer’s perspective, from the analysis. Segregating the trustworthy feedback from the untrustworthy feedback is important for the developers, as the next releases should be planned based on that. Finally, an inclusion and exclusion criteria to help developers manage trustworthy user feedback is defined.

With more and more images being uploaded to social networks each day, the resources for identifying a large portion of the world are available. However the tools to harness and utilize this information are not sufficient. This thesis presents a system, called PhacePhinder, which can build a face database from a social network and have it accessible from mobile devices. Through combining existing technologies, this is made possible. It also makes use of a fusion probabilistic latent semantic analysis to determine strong connections between users and content. Using this information we can determine the most meaningful social connection to a recognized person, allowing us to inform the user of how they know the person being recognized. We conduct a series of offline and user tests to verify our results and compare them to existing algorithms. We show, that through combining a user’s friendship information as well as picture occurrence information, we can make stronger recommendations than based on friendship alone. We demonstrate a working prototype that can identify a face from a picture taken from a mobile phone, using a database derived from images gathered directly from a social network, and return a meaningful social connection to the recognized face.