BA 2013 Abstracts


Full Papers
Paper Nr: 3
Title:

Using Vital Sensors in Mobile Healthcare Business Applications - Challenges, Examples, Lessons Learned

Authors:

Johannes Schobel, Marc Schickler, Rüdiger Pryss, Hans Nienhaus and Manfred Reichert

Abstract: Today, sensors are increasingly used for data collection. In the medical domain, for example, vital signs (e.g., pulse or oxygen saturation) of patients can be measured with sensors and used for further processing. In this paper, different types of applications will be discussed whether sensors might be used in the context of these applications and their suitability for applying external sensors to them. Furthermore, a system architecture for adding sensor technology to respective applications is presented. For this purpose, a real-world business application scenario in the field of well-being and fitness is presented. In particular, we integrated two different sensors in our fitness application. We report on the lessons learned from the implementation and use of this application, e.g., in respect to connection and data structure. They mainly deal with problems relating to the connection and communication between the smart mobile device and the external sensors, as well as the selection of the appropriate type of application. Finally, a robust sensor framework, arising from this fitness application is presented. This framework provides basic features for connecting sensors. Particularly, in the medical domain, it is crucial to provide an easy to use toolset to relieve medical staff.

Paper Nr: 4
Title:

An iPad Order Management System for Fashion Trade

Authors:

Ivano Baroni, Sonia Bergamaschi and Laura Po

Abstract: The fashion industry loves the new tablets. In 2011 we noted a 38% growth of e-commerce in the italian fashion industry. A large number of brands have understood the value of mobile devices as the key channel for consumer communication. The interest of brands in applications of mobile marketing and services have made a big step forward, with an increase of 129% in 2011 (osservatori.net, 2012). This paper presents a mobile version of the Fashion OMS (Order Management System) web application. Fashion Touch is a mobile application that allows clients and company’s sales networks to process commercial orders, consult the product catalog and manage customers as the OMS web version does with the added functionality of the off-line order entering mode. To develop an effective mobile App, we started by analyzing the new web technologies for mobile applications (HTML5, CSS3, Ajax) and their relative development frameworks making a comparison with the Apple’s native programming language. We selected Titanium, a multi-platform framework for native mobile and desktop devices application development via web technologies as the best framework for our purpose. We faced issues concerning the network synchronization and studied different database solutions depending on the device hardware characteristics and performances. This paper reports every aspect of the App development until the publication on the Apple Store.

Paper Nr: 6
Title:

Mining and Analysis of Apps in Google Play

Authors:

Shahab Mokarizadeh, Mohammad Tafiqur Rahman and Mihhail Matskin

Abstract: In this paper, we focus on analyzing Google Play, the largest Android app store that provides a wide collection of data on features (ratings, price and number of downloads) and descriptions related to application functionality. The overall objective of this analysis effort is to provide in-depth insight about intrinsic properties of App repositories in general. This allows us to draw a comprehensive picture of current situation of App market in order to help application developers to understand customers’ desire and attitude and the trend in the market. To this end, we suggest an analysis approach which examines the given collection of Apps in two directions. In the first direction, we measure the correlation between app features while in the second direction we construct cluster of similar applications and then examine their characteristics in association with features of interest. The examined dataset are collected from Google Play (in 2012) and Android Market (in 2011). In our analysis results, we identified a strong correlation between price and number of downloads and similarly between price and participation. Moreover, by employing a probabilistic topic modeling technique and K-means clustering method, we find out that the categorization system of Google Play does not respect properly similarity of applications. We also determined that there is a high competition between App providers producing similar applications.