Gibeon Soares de Aquino

Mobile Application Development: How to Estimate the Effort?

The context of mobile applications, is a technological scenario that is emerging with new requirements and restrictions requires a reevaluation of current knowledge about the processes of planning and building software systems. These new systems have different characteristics and, therefore, an area in particular that demands such adaptation is software estimation. The estimation processes, in general, are based on characteristics of the systems, trying to quantify the complexity of implementing them. For this reason, it is important to analyze the methods currently proposed for software projects estimation and evaluate their applicability to this new context of mobile computing. Hence, the main objective of this paper is to present a partial validation of the proposed model estimate.

A Systematic Approach to Develop Mobile Applications from Existing Web Information Systems

Mobile computing is changing the way society accesses information. People are using mobile devices such as smartphones and tablets to make transactions and consume data more and more each day. Driven by this kind of use, many companies and institutions are developing mobile versions of their information systems. But what should these companies and institutions consider when developing a mobile versions of its information systems? It is important to note that the mobile version is not the redesign or copy of all functionalities from the existing information system. Considering this scenario of mobile application development from existing web information systems, we proposed a process named Metamorphosis. This process provides a set of activities subdivided into four phases - requirements, design, development and deployment -, to assist in the creation of mobile applications from existing web information systems. Thus, this article aims to present a case study of the Metamorphosis process in the development of SIGEventos Mobile, a mobile version based on SIGEventos web information system, approaching the feasibility of the use of this process.

Solution to interoperability protocols smarthomes

During the recent years, we can observe how mobile devices entered in the lives of people, becoming their main personal assistants and helping in various daily tasks. However not just mobile devices have evolved. And others electronic devices we use every day also experienced changes that have become smarter as the example of home devices. All these devices interconnected in the same environment or the same network, making use of services and exchange information with other devices, characterize a smart environment. smarthomes are special class of such environments and, increasingly, has become a scene with a variety of heterogeneous devices. However, due to the rapid progress of technology and the rise of a large number of heterogeneous devices, a variety of independent communication protocols were created, establishing a complex scenario to ensure interoperability between them. In this context, the main objective of this paper is to analyze the state of the art with an emphasis on the interoperability of current Mobile Devices with other digital devices present in a smarthome. Thus, it will be defined which protocols are currently most commonly used for this purpose, what are the current ongoing projects, what are the limitations of the solutions found in the research and, finally, it will be proposed an alternative solution for interoperability between the devices at a smarthome.

QueueWe: An IoT-Based Solution for Queue Monitoring

Internet of Things allows people’s everyday objects to be connected to the Internet and to each other, which gives them the ability to communicate between themselves and with the end users. This allows such objects to contribute to the improvement of the accomplishment of tasks such as: environment monitoring, people’s health monitoring, natural resources management, and many other activities. This way, this work designs, implements and evaluates a solution for queue monitoring. This solution used as its first use scenario the University Restaurant (UR) of the Universidade Federal do Rio Grande do Norte (Federal University of Rio Grande do Norte - UFRN). The goal was to inform the restaurant’s users the best times to go to the UR in order to avoid queues, consequently making better use of their time. To achieve this goal, a prototype of the solution was developed involving sensors, connectivity, a mobile application and an IoT platform.

An Adaptable Approach for Indoor Location.

In general people often spend 80-90% of their time in indoor environments, which include shopping malls, libraries, airports, universities, schools, offices, factories, hospitals, among others. In these environments, GPS does not work properly, causing inaccurate positioning. Currently, when performing the location of people or objects in indoor environments, no single technology can reproduce the same results achieved by the GPS for outdoor environments. One of the main reasons for this is the high complexity of indoor environments where, unlike outdoor spaces, there is a series of obstacles such as walls, equipment and even people. Due to this, it is necessary to consider the use of information from multiple sources using different technologies. Thus, this work proposes an adaptable approach for indoor location, which allows the use and combination of different technologies, techniques and methods in this context.

An Experience of Constructing a Service API for Corporate Data Delivery

The Federal University of Rio Grande do Norte (UFRN) has information systems which capture different kinds of data related to the institution itself, as well as its academics and students. Much of this data produces information that is available to users through reports found in the systems. However, there are demands that often come from these users, who wish to obtain data not available in the reports, which requires the need for manual extraction and, thereafter, generates costs to the institution. Furthermore, there are several studies, research projects and applications developed by academics, students and companies that require the use of this information, either to offer more transparency or to develop new ideas and promoting innovation. In this aspect, this paper aims to present an experience of development of a solution for providing corporate data using a service API.

Indoor Location: An Adaptable Platform

Nowadays, it is clear that location systems are increasingly present in people’s lives. In general people often spend 80–90 % of their time in indoor environments, which include shopping malls, libraries, airports, universities, schools, offices, factories, hospitals, among others. In these environments, GPS does not work properly, causing inaccurate positioning. Currently, when performing the location of people or objects in indoor environments, no single technology can reproduce the same results achieved by the GPS for outdoor environments. One of the main reasons for this is the high complexity of indoor environments where, unlike outdoor spaces, there is a series of obstacles such as walls, equipment and even people. Thus, it is necessary that the solutions proposed to solve the problem of location in indoor environments take into account the complexity of these environments. In this paper, we propose an adaptable platform for indoor location, which allows the use and combination of different technologies, techniques and methods in this context.

Mobile Application Estimate the Design Phase

When addressing mobile applications, it is a technological landscape that is emerging with new requirements and restrictions requires a reassessment of current knowledge about the processes of development of these types of systems. These new systems have different features, ranging from planning to completion of the design, and therefore a particular area that is being addressed differently when it comes to estimating software. The estimation processes in general are based on characteristics of the systems to attempt to quantify the complexity of the implementation. For this reason, it is important to analyze the main models currently proposed for estimating software projects and consider whether it is suitable for mobile computing. Thus, the main objective of this paper is to present an estimation method for mobile applications still in the design phase, giving basis for all the features addressed in this scenario.