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About

About

Assistant Lecturer at Polytechnic Institute of Viana do Castelo (IPVC) since 2005/2006. He has a PhD in Informatics Engineering from Faculty of Engineering of University of Porto with a thesis titled "Requirements Change Management based on Web Usage Mining". He received his master degree in Informatics Engineering from the Faculty of Engineering of University of Porto (FEUP) and his bachelor’s degree in Computer Science from Faculty of Sciences of University of Porto (FCUP). His research interests are in the area of software engineering, web usage mining and requirements management.

Interest
Topics
Details

Details

  • Name

    Jorge Esparteiro Garcia
  • Cluster

    Computer Science
  • Role

    Affiliated Researcher
  • Since

    01st December 2015
Publications

2021

Test Case Generation From Web Usage Information

Authors
Garcia, JE; Paiva, ACR; Bizoi, AM;

Publication
Procedia Computer Science

Abstract

2021

Social Media Content Marketing Strategy for Higher Education: A Case Study Approach

Authors
Garcia, JE; Pereira, JS; Cairrão, Á;

Publication
Marketing and Smart Technologies - Smart Innovation, Systems and Technologies

Abstract

2021

The omnichannel strategy in portuguese companies: an overview

Authors
Alves S.; Da Fonseca M.J.S.; Garcia J.E.; De Oliveira L.C.; Teixeira A.;

Publication
2021 16th Iberian Conference on Information Systems and Technologies (CISTI)

Abstract

2021

Data Analysis in Content Marketing Strategies

Authors
Costa C.R.; Garcia J.E.; Da Fonseca M.J.S.; Teixeira A.;

Publication
2021 16th Iberian Conference on Information Systems and Technologies (CISTI)

Abstract

2018

Manage software requirements specification using web analytics data

Authors
Garcia, JE; Paiva, ACR;

Publication
Advances in Intelligent Systems and Computing

Abstract
In the context of SaaS (Software as a Service) where software has to be up and running 7 days a week and 24 h a day, keeping the requirements specification up to date can be difficult. Managing requirements in this context have additional challenges that need to be taken into account, for instance, re-prioritize requirements continuously and identify/update new dependencies among them. We claim that extracting and analyzing the usage of the SaaS can help to maintain requirements updated and contribute to improve the overall quality of the services provided. This paper presents REQAnalytics, a recommendation system that collects the information about the usage of a SaaS, analyses it and generates recommendations more readable than reports generated by web analytic tools. The overall approach has been applied on several case studies with promising results. © Springer International Publishing AG, part of Springer Nature 2018.

Supervised
thesis

2016

Requirements Maintenance

Author
Pedro Nuno Pereira Gonçalves

Institution
UP-FEUP