INES – National Institute of Science and Technology for Software Engineering

INES at SMC 2014

INES at ICSEA 2014

Prof. Teresa Maciel, researcher at INES, will participate of the “The Ninth International Conference on Software Engineering Advances – ICSEA 2014″ (October, in Nice, France) to present the paper entitled “A Guideline for Supporting Agile Process Assessments” .

INES – UFBA researcher at CBSoft 2014

Claudio Sant’Anna, member of the Concern-Driven Measurement of Software Modularity project, will attend CBSoft 2014 in Maceió. Together with other researchers from UFBA he had the following paper accepted at the II Brazilian Workshop on Software Visualization, Evolution and Maintenance (VEM 2014):

Title: How developers deal with Code Smells: the case of the SourceMiner Evolution team.
Authors: Alcemir Santos, Mário Farias, Eduardo Almeida, Manoel Mendonça and Claudio Sant’Anna.

IndoLoR – Indoor Location Radar

The advent of mobile technologies and the new technological trend of connecting objects to the global computer network, also known as Internet of things, are making ubiquitous computing a reality in many corporate and residential environments. This new scenario is creating new opportunities for applications, in particular for smart environments. An application area that can take advantage of the technological capabilities provided by smart environments are the RTLS – real time location systems. Classic examples are the problem of indoor and outdoor location. Intrinsically, people are already familiar with outdoor applications that usually use location based on GPS (global positioning system) to provide LBS (Location-based services). This application is especially common in cars and on mobile devices. However, the indoor location adds new challenges, depending on a pre-existing infrastructure in the environment and a better location accuracy. In general, contextual information (checking at specific points) and the level of the received communication signal (RSSI – Received Signal Strength Indicated) are analyzed for the location of the target object, which might be a person or an object. Wireless technologies such as WiFi, RFID, Zigbee and Bluetooth are the most frequently used for indoor tracking.

This project aims to develop, integrate and evaluate solutions of hardware, software and networks for automation of enterprise environments that enable the development of applications with high added value of indoor location. The solution called IndoLoR (Indoor Location Radar), integrates several emerging areas such as Internet of Things, Pervasive and Ubiquitous Computing, Cloud Computing, Smart Sensors Network and Context Sensitivity.

ForAll UFRN Acquires a MacBook Pro

The Formal Methods and Languages Laboratory, research laboratory at UFRN associated to INES, acquired a MacBook Pro.

INES at ACM Hypertext 2014

Prof. Leandro Balby will participate of the ACM Hypertext Conference to present the paper entitled “Event Recommendations in Event-Based Social Networks” in the SP 2014 Workshop. The research performs an exploratory analysis of a large dataset collected from meetup.com (a well known event-based social network) where several insights are derived for the effective development of event recommenders, which is a challenging and still a sparse area of research. After that, some of these insights are fed into state-of-the-art recommender algorithms in order to investigate the advantages and limitations of these recommenders.

The abstract is presented as follows:
With the large number of events published all the time in event-based social networks (EBSN), it has become increasingly diffi cult for users to nd the events that best match their preferences. Recommender systems appear as a natural solution to this problem. However, the event recommendation scenario is quite different from typical recommendation domains (e.g. movies), since there is an intrinsic new item problem involved (i.e. events can not be “consumed” before their occurrence) and scarce collaborative information. Although few works have appeared in this area, there is still lacking in the literature an extensive analysis of the different characteristics of EBSN data that can affect the design of event recommenders. In this paper we provide a contribution in this direction, where we investigate and discuss important features of EBSN such as sparsity, events life time, co-participation of users in events and geographic features. We also shed some light on the performance and limitations of several well known recommendation algorithms and combinations of them on real and large data collected from meetup.com.

HEALTHDRONES – Evaluating drones as a software platform for development of applications for monitoring epidemiological and crowd phenomena

The use of satellite data can be complemented by collected one by devices in flight (unmanned aerial vehicles called here “drones”). This provides a platform of data very close to reality and can be programmable by IOT (Internet Of Things) applications. These data can be used for monitoring environments at risk or under specific control (epidemiological or any crowd phenomena). This project will provide an overview of the software platforms available today for development of algorithms for unmanned aerial vehicles (UAVs) in autonomous flight to be used in IOT applications. We are primarily interested in their use for epidemiological monitoring of areas under risk, but these platforms can be used to monitor any kind of crowd event. In particular, in this project, images are captured and processed using NOAA and Meteosat 8 Satellites. They are operated by GOESERE-UFRPE (Laboratory of GIS and Remote Sensing of the Federal Rural University of Pernambuco) – http://www.dtr.ufrpe.br/geosere/ – and are used to compose the monitoring scenarios.  Images and other data are also captured and processed by the drones platforms and its sensors. This information will compound automatic surveillance scenarios of the phenomena.

The development of a prototype for Schistosomiasis will provide an evaluation of the platforms used for this project. In this way, as the main outcome, this project will provide an overview of technologies available today, their ability to integrate with legacy systems and their programming capabilities. It is expected to evaluate at least five different air platforms and this project enables the acquisition of such platforms. The importance of this project for the industry takes on the aspect of evaluation of commercial platforms for UAVs to be a possible IDE for software applications in industry.

This project is a coordinate action by researchers from GOESERE-UFRPE, CIN-UFPE, CESAR, LIKA, EPITRACK and ISI-TICs.

INES at ICSME 2014

Juliana Araújo will attend the 30th International Conference on Software Maintenance and Evolution(ICSME) in Victoria, British Columbia, Canada- 28 September-03 October.

Juliana will present the following paper:  How Does Exception Handling Behavior Evolve? An Exploratory Study in Java and C# Applications. This activity is part of the project “Integrando Testes com Mineração de Fluxo Excepcional para Construção de Aplicações Robustas”, in portuguese “PT”.

BaSiC: A Service Bus for Smart Cities

INES at 8th International EIASM

Ricardo Amorim will present a full paper in the 8th International EIASM Public Sector Conference that will be held in Edinburgh, U.K., September 2-4, 2014. The paper is part of the INES project “MDAOnto System – a solution for the development of applications supported by educational model and ontologies”.