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About

About

I am a Ph.D. in Computer Science in the MAP-i Doctoral Programme at the Universities of Minho, Aveiro and Porto. I hold a degree in Informatics and Computation Engineering from the Faculty of Engineering of the University of Porto. Member of the Software Engineering Group, FEUP. I teach as an Assistant Professor at FEUP/DEI. I'm also a member of the Hillside Group.

Interest
Topics
Details

Details

  • Name

    Hugo Sereno Ferreira
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st January 2009
Publications

2017

Automating the Extraction of Static Content and Dynamic Behaviour from e-Commerce Websites

Authors
Dias, JP; Ferreira, HS;

Publication
8TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2017) AND THE 7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT 2017)

Abstract
E-commerce website owners rely heavily on analysing and summarising the behaviour of costumers, making efforts to influence user actions and optimize success metrics. Machine learning and data mining techniques have been applied in this field, greatly influencing the Internet marketing activities. When faced with a new e-commerce website, the data scientist starts a process of collecting real-time and historical data about it, analysing and transforming this data in order to get a grasp into the website and its users. Data scientists commonly resort to tracking domain-specific events, requiring code modification of the web pages. This paper proposes an alternative approach to retrieve information from a given e-commerce website, collecting data from the site's structure, retrieving semantic information in predefined locations and analysing user's access logs, thus enabling the development of accurate models for predicting users' future behaviour. This is accomplished by the application of a web mining process, comprehending the site's structure, content and usage in a pipeline, resulting in a web graph of the website, complemented with a categorization of each page and the website's archetypical user profiles. 1877-0509 (C) 2017 The Authors. Published by Elsevier B.V.

2014

The concept of "Ba" applied to software knowledge

Authors
Flores, N; Aguiar, A; Sereno, H;

Publication
8th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2014 - Proceedings

Abstract
Software development is a knowledge-intensive activity. Software products usually start as a simple idea, or a vision, and then progress towards a final deliverable product. Along this evolution, there is a lot of knowledge that is captured, organized, and shared, leading to new knowledge, both as a whole and within specific development activities. The concept of "Ba" provides a foundation to advance individual and collective knowledge, which describes knowledge creation as a spiral involving tacit and explicit knowledge: the Socialization, Externalization, Combination, Internalization model (a.k.a. SECI model). By applying this foundation to software development, we found issues that may hinder the effective knowledge management cycle. In this paper, we present a vision and a set of requirements for tools to overcome such issues and therefore better support the whole process of software knowledge evolution.

2014

Collaborative Web Platform for UNIX-Based Big Data Processing

Authors
Castro, O; Ferreira, HS; Sousa, TB;

Publication
COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING, CDVE 2014

Abstract
UNIX-based operative systems were always empowered by scriptable shell interfaces, with a core set of powerful tools to perform manipulation over files and data streams. However those tools can be difficult to manage at the hands of a non-expert programmer. This paper proposes the creation of a Collaborative Web Platform to easily create workflows using common UNIX command line tools for processing Big Data through a collaborative web GUI.

2013

Smartphone based fall prevention exercises

Authors
Ferreira, BN; Guimaraes, V; Ferreira, HS;

Publication
2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013

Abstract
Falling is a very serious problem for our society, as it affects one out of three older adults. Currently, this is a well-known problem and therefore multiple ICT-based solutions for falls management exist. In addition, a small part of them are said to help preventing falls, but most of the reviewed solutions doesn't seem to have their focus in reducing specific fall risk factors like loss of muscle mass or a poor balance. The proposed ICT-based fall prevention solution is based on an existing fall prevention exercise programme specifically designed for the Portuguese population. It takes advantage of the smartphone processing capabilities as well as its built-in inertial sensors to evaluate the movements performed during the execution of specific exercises. Using only a simple smartphone it is possible to provide a friendly and inexpensive solution capable of increasing seniors' adherence to fall prevention exercises as well as raise their motivation to properly execute the exercises in their home environment. © 2013 IEEE.

2012

Object-Functional Patterns: Re-Thinking Development in a Post-Functional World

Authors
Tiago Boldt Sousa; Hugo Sereno Ferreira

Publication
QUATIC 2012 - 8th International Conference on the Quality of Information and Communications Technology - QUATIC 2012 , Lisboa, Portugal

Abstract