2 Search Results for "Pinto, Afonso"

Document
DOI: 10.4230/OASIcs.ICPEC.2021.10
Automated Java Challenges' Security Assessment for Training in Industry - Preliminary Results

Authors: Luís Afonso Casqueiro, Tiago Espinha Gasiba, Maria Pinto-Albuquerque, and Ulrike Lechner

Published in: OASIcs, Volume 91, Second International Computer Programming Education Conference (ICPEC 2021)

Abstract
Secure software development is a crucial topic that companies need to address to develop high-quality software. However, it has been shown that software developers lack secure coding awareness. In this work, we use a serious game approach that presents players with Java challenges to raise Java programmers' secure coding awareness. Towards this, we adapted an existing platform, embedded in a serious game, to assess Java secure coding exercises and performed an empirical study. Our preliminary results provide a positive indication of our solution’s viability as a means of secure software development training. Our contribution can be used by practitioners and researchers alike through an overview on the implementation of automatic security assessment of Java CyberSecurity Challenges and their evaluation in an industrial context.
Cite as

Luís Afonso Casqueiro, Tiago Espinha Gasiba, Maria Pinto-Albuquerque, and Ulrike Lechner. Automated Java Challenges' Security Assessment for Training in Industry - Preliminary Results. In Second International Computer Programming Education Conference (ICPEC 2021). Open Access Series in Informatics (OASIcs), Volume 91, pp. 10:1-10:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{casqueiro_et_al:OASIcs.ICPEC.2021.10,
  author =	{Casqueiro, Lu{\'\i}s Afonso and Gasiba, Tiago Espinha and Pinto-Albuquerque, Maria and Lechner, Ulrike},
  title =	{{Automated Java Challenges' Security Assessment for Training in Industry - Preliminary Results}},
  booktitle =	{Second International Computer Programming Education Conference (ICPEC 2021)},
  pages =	{10:1--10:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-194-8},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{91},
  editor =	{Henriques, Pedro Rangel and Portela, Filipe and Queir\'{o}s, Ricardo and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2021.10},
  URN =		{urn:nbn:de:0030-drops-142269},
  doi =		{10.4230/OASIcs.ICPEC.2021.10},
  annote =	{Keywords: Education, Teaching, Training, Awareness, Secure Coding, Industry, Programming, Cybersecurity, Capture-the-Flag, Intelligent Coach}
}
Document
DOI: 10.4230/OASIcs.SLATE.2020.3
Detection of Emerging Words in Portuguese Tweets

Authors: Afonso Pinto, Helena Moniz, and Fernando Batista

Published in: OASIcs, Volume 83, 9th Symposium on Languages, Applications and Technologies (SLATE 2020)

Abstract
This paper tackles the problem of detecting emerging words on a language, based on social networks content. It proposes an approach for detecting new words on Twitter, and reports the achieved results for a collection of 8 million Portuguese tweets. This study uses geolocated tweets, collected between January 2018 and June 2019, and written in the Portuguese territory. The first six months of the data were used to define an initial vocabulary on known words, and the following 12 months were used for identifying new words, thus testing our approach. The set of resulting words were manually analyzed, revealing a number of distinct events, and suggesting that Twitter may be a valuable resource for researching neology, and the dynamics of a language.
Cite as

Afonso Pinto, Helena Moniz, and Fernando Batista. Detection of Emerging Words in Portuguese Tweets. In 9th Symposium on Languages, Applications and Technologies (SLATE 2020). Open Access Series in Informatics (OASIcs), Volume 83, pp. 3:1-3:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

Copy BibTex To Clipboard

@InProceedings{pinto_et_al:OASIcs.SLATE.2020.3,
  author =	{Pinto, Afonso and Moniz, Helena and Batista, Fernando},
  title =	{{Detection of Emerging Words in Portuguese Tweets}},
  booktitle =	{9th Symposium on Languages, Applications and Technologies (SLATE 2020)},
  pages =	{3:1--3:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-165-8},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{83},
  editor =	{Sim\~{o}es, Alberto and Henriques, Pedro Rangel and Queir\'{o}s, Ricardo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2020.3},
  URN =		{urn:nbn:de:0030-drops-130164},
  doi =		{10.4230/OASIcs.SLATE.2020.3},
  annote =	{Keywords: Emerging words, Twitter, Portuguese language}
}
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