61 Search Results for "Pinto-Albuquerque, Maria"

Volume

OASIcs, Volume 94

10th Symposium on Languages, Applications and Technologies (SLATE 2021)

SLATE 2021, July 1-2, 2021, Vila do Conde/Póvoa de Varzim, Portugal

Editors: Ricardo Queirós, Mário Pinto, Alberto Simões, Filipe Portela, and Maria João Pereira

Volume

OASIcs, Volume 56

6th Symposium on Languages, Applications and Technologies (SLATE 2017)

SLATE 2017, June 26-27, 2017, Vila do Conde, Portugal

Editors: Ricardo Queirós, Mário Pinto, Alberto Simões, José Paulo Leal, and Maria João Varanda

Document
DOI: 10.4230/OASIcs.ICPEC.2023.2
I'm Sorry Dave, I'm Afraid I Can't Fix Your Code: On ChatGPT, CyberSecurity, and Secure Coding

Authors: Tiago Espinha Gasiba, Kaan Oguzhan, Ibrahim Kessba, Ulrike Lechner, and Maria Pinto-Albuquerque

Published in: OASIcs, Volume 112, 4th International Computer Programming Education Conference (ICPEC 2023)

Abstract
Software security is an important topic that is gaining more and more attention due to the rising number of publicly known cybersecurity incidents. Previous research has shown that one way to address software security is by means of a serious game, the CyberSecurity Challenges, which are designed to raise awareness of software developers of secure coding guidelines. This game, which has been proven to be very successful in the industry, makes use of an artificial intelligence technique (laddering technique) to implement a chatbot for human-machine interaction. Recent advances in machine learning led to a breakthrough, with the implementation of ChatGPT by OpenAI. This algorithm has been trained in a large amount of data and is capable of analysing and interpreting not only natural language, but also small code snippets containing source code in different programming languages. With the advent of ChatGPT, and previous state-of-the-art research in secure software development, a natural question arises: to which extent can ChatGPT aid software developers in writing secure software?. In this paper, we draw on our experience in the industry, and also on extensive previous work to analyse and reflect on how to use ChatGPT to aid secure software development. Towards this, we run a small experiment using five different vulnerable code snippets. Our interactions with ChatGPT allow us to conclude on advantages, disadvantages and limitations of the usage of this new technology.
Cite as

Tiago Espinha Gasiba, Kaan Oguzhan, Ibrahim Kessba, Ulrike Lechner, and Maria Pinto-Albuquerque. I'm Sorry Dave, I'm Afraid I Can't Fix Your Code: On ChatGPT, CyberSecurity, and Secure Coding. In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 2:1-2:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{espinhagasiba_et_al:OASIcs.ICPEC.2023.2,
  author =	{Espinha Gasiba, Tiago and Oguzhan, Kaan and Kessba, Ibrahim and Lechner, Ulrike and Pinto-Albuquerque, Maria},
  title =	{{I'm Sorry Dave, I'm Afraid I Can't Fix Your Code: On ChatGPT, CyberSecurity, and Secure Coding}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{2:1--2:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-290-7},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{112},
  editor =	{Peixoto de Queir\'{o}s, Ricardo Alexandre and Teixeira Pinto, M\'{a}rio Paulo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.2},
  URN =		{urn:nbn:de:0030-drops-184986},
  doi =		{10.4230/OASIcs.ICPEC.2023.2},
  annote =	{Keywords: Serious Games, IT-Security, Machine Learning, ChatGPT, Secure Coding, Industry, Software Development, Teaching}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2023.9
NLP/AI Based Techniques for Programming Exercises Generation

Authors: Tiago Carvalho Freitas, Alvaro Costa Neto, Maria João Varanda Pereira, and Pedro Rangel Henriques

Published in: OASIcs, Volume 112, 4th International Computer Programming Education Conference (ICPEC 2023)

Abstract
This paper focuses on the enhancement of computer programming exercises generation to the benefit of both students and teachers. By exploring Natural Language Processing (NLP) and Machine Learning (ML) methods for automatic generation of text and source code, it is possible to semi-automatically construct programming exercises, aiding teachers to reduce redundant work and more easily apply active learning methodologies. This would not only allow them to still play a leading role in the teaching-learning process, but also provide students a better and more interactive learning experience. If embedded in a widely accessible website, an exercises generator with these Artificial Intelligence (AI) methods might be used directly by students, in order to obtain randomised lists of exercises for their own study, at their own time. The emergence of new and increasingly powerful technologies, such as the ones utilised by ChatGPT, raises the discussion about their use for exercise generation. Albeit highly capable, monetary and computational costs are still obstacles for wider adoption, as well as the possibility of incorrect results. This paper describes the characteristics and behaviour of several ML models applied and trained for text and code generation and their use to generate computer programming exercises. Finally, an analysis based on correctness and coherence of the resulting exercise statements and complementary source codes generated/produced is presented, and the role that this type of technology can play in a programming exercise automatic generation system is discussed.
Cite as

Tiago Carvalho Freitas, Alvaro Costa Neto, Maria João Varanda Pereira, and Pedro Rangel Henriques. NLP/AI Based Techniques for Programming Exercises Generation. In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 9:1-9:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{freitas_et_al:OASIcs.ICPEC.2023.9,
  author =	{Freitas, Tiago Carvalho and Costa Neto, Alvaro and Pereira, Maria Jo\~{a}o Varanda and Henriques, Pedro Rangel},
  title =	{{NLP/AI Based Techniques for Programming Exercises Generation}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{9:1--9:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-290-7},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{112},
  editor =	{Peixoto de Queir\'{o}s, Ricardo Alexandre and Teixeira Pinto, M\'{a}rio Paulo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.9},
  URN =		{urn:nbn:de:0030-drops-185058},
  doi =		{10.4230/OASIcs.ICPEC.2023.9},
  annote =	{Keywords: Natural Language Processing, Computer Programming Education, Exercises Generation, Text Generation, Code Generation}
}
Document
DOI: 10.4230/OASIcs.NG-RES.2023.2
IRQ Coloring: Mitigating Interrupt-Generated Interference on ARM Multicore Platforms

Authors: Diogo Costa, Luca Cuomo, Daniel Oliveira, Ida Maria Savino, Bruno Morelli, José Martins, Fabrizio Tronci, Alessandro Biasci, and Sandro Pinto

Published in: OASIcs, Volume 108, Fourth Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2023)

Abstract
Mixed-criticality systems, which consolidate workloads with different criticalities, must comply with stringent spatial and temporal isolation requirements imposed by safety-critical standards (e.g., ISO26262). This, per se, has proven to be a challenge with the advent of multicore platforms due to the inner interference created by multiple subsystems while disputing access to shared resources. With this work, we pioneer the concept of Interrupt (IRQ) coloring as a novel mechanism to minimize the interference created by co-existing interrupt-driven workloads. The main idea consists of selectively deactivating specific ("colored") interrupts if the QoS of critical workloads (e.g., Virtual Machines) drops below a well-defined threshold. The IRQ Coloring approach encompasses two artifacts, i.e., the IRQ Coloring Design-Time Tool (IRQ DTT) and the IRQ Coloring Run-Time Mechanism (IRQ RTM). In this paper, we focus on presenting the conceptual IRQ coloring design, describing the first prototype of the IRQ RTM on Bao hypervisor, and providing initial evidence about the effectiveness of the proposed approach on a synthetic use case.
Cite as

Diogo Costa, Luca Cuomo, Daniel Oliveira, Ida Maria Savino, Bruno Morelli, José Martins, Fabrizio Tronci, Alessandro Biasci, and Sandro Pinto. IRQ Coloring: Mitigating Interrupt-Generated Interference on ARM Multicore Platforms. In Fourth Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2023). Open Access Series in Informatics (OASIcs), Volume 108, pp. 2:1-2:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{costa_et_al:OASIcs.NG-RES.2023.2,
  author =	{Costa, Diogo and Cuomo, Luca and Oliveira, Daniel and Savino, Ida Maria and Morelli, Bruno and Martins, Jos\'{e} and Tronci, Fabrizio and Biasci, Alessandro and Pinto, Sandro},
  title =	{{IRQ Coloring: Mitigating Interrupt-Generated Interference on ARM Multicore Platforms}},
  booktitle =	{Fourth Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2023)},
  pages =	{2:1--2:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-268-6},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{108},
  editor =	{Terraneo, Federico and Cattaneo, Daniele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2023.2},
  URN =		{urn:nbn:de:0030-drops-177333},
  doi =		{10.4230/OASIcs.NG-RES.2023.2},
  annote =	{Keywords: IRQ coloring, Interrupt Interference, Mixed-Criticality Systems, Hypervisors, Bao, Arm}
}
Document
DOI: 10.4230/OASIcs.SLATE.2022.16
Determining Programming Languages Complexity and Its Impact on Processing

Authors: Gonçalo Rodrigues Pinto, Pedro Rangel Henriques, Daniela da Cruz, and João Cruz

Published in: OASIcs, Volume 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022)

Abstract
Tools for Programming Languages processing, like Static Analysers (for instance, a Static Application Security Testing (SAST) tool), must be adapted to cope with a different input when the source programming language changes. Complexity of the programming language is one of the key factors that deeply impact the time of giving support to it. This paper aims at proposing an approach for assessing language complexity, measuring, at a first stage, the complexity of its underlying context-free grammar (CFG). From the analysis of concrete case studies, factors have been identified that make the support process more time-consuming, in particular in the stages of language recognition and in the transformation to an abstract syntax tree (AST). In this sense, at a second stage, a set of language characteristics is analysed in order to take into account the referred factors that also impact on the language processing. The principal goal of the project here reported is to help development teams to improve the estimation of time and effort needed to cope with a new programming language. In the paper a tool is proposed, and its prototype is presented, that allows the evaluation of the complexity of a language based on a set of metrics to classify the complexity of its grammar, along with a set of properties. The tool compares the new language complexity so far determined with previously supported languages, to predict the effort to process the new language.
Cite as

Gonçalo Rodrigues Pinto, Pedro Rangel Henriques, Daniela da Cruz, and João Cruz. Determining Programming Languages Complexity and Its Impact on Processing. In 11th Symposium on Languages, Applications and Technologies (SLATE 2022). Open Access Series in Informatics (OASIcs), Volume 104, pp. 16:1-16:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{pinto_et_al:OASIcs.SLATE.2022.16,
  author =	{Pinto, Gon\c{c}alo Rodrigues and Henriques, Pedro Rangel and da Cruz, Daniela and Cruz, Jo\~{a}o},
  title =	{{Determining Programming Languages Complexity and Its Impact on Processing}},
  booktitle =	{11th Symposium on Languages, Applications and Technologies (SLATE 2022)},
  pages =	{16:1--16:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-245-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{104},
  editor =	{Cordeiro, Jo\~{a}o and Pereira, Maria Jo\~{a}o and Rodrigues, Nuno F. and Pais, Sebasti\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2022.16},
  URN =		{urn:nbn:de:0030-drops-167620},
  doi =		{10.4230/OASIcs.SLATE.2022.16},
  annote =	{Keywords: Complexity, Grammar, Language-based-Tool, Programming Language, Static code analysis}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2022.6
Cloud of Assets and Threats: A Playful Method to Raise Awareness for Cloud Security in Industry

Authors: Tiange Zhao, Ulrike Lechner, Maria Pinto-Albuquerque, and Ece Ata

Published in: OASIcs, Volume 102, Third International Computer Programming Education Conference (ICPEC 2022)

Abstract
Cloud computing has become a convenient technology widely used in industry, providing profit and flexibility to companies. Many enterprises embrace cloud service by migrating their products and solutions from on-premise to cloud environments. Cloud assets and applications are vulnerable to security challenges if not adequately protected. Regulations, standards and guidelines aim to enforce cloud security controls in the industry and practitioners need training to raise awareness of cloud security issues and learn about the defense mechanisms and controls. We propose a serious game Cloud of Assets and Threats (CAT) for enhancing cloud security awareness of industrial practitioners. This study extends first results of applying such a serious game in industry [Zhao et al., 2021] and refines its design in two iterations. In the first design iteration, we implemented a digital game platform with six attack scenarios and developed a new player versus environment gaming mode. In the second design iteration, we adjusted the attack scenarios and introduced different difficulty levels for the scenarios. We present, analyse, and discuss the game events. We conclude that CAT is a promising method to raise awareness for cloud security in the industry.
Cite as

Tiange Zhao, Ulrike Lechner, Maria Pinto-Albuquerque, and Ece Ata. Cloud of Assets and Threats: A Playful Method to Raise Awareness for Cloud Security in Industry. In Third International Computer Programming Education Conference (ICPEC 2022). Open Access Series in Informatics (OASIcs), Volume 102, pp. 6:1-6:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{zhao_et_al:OASIcs.ICPEC.2022.6,
  author =	{Zhao, Tiange and Lechner, Ulrike and Pinto-Albuquerque, Maria and Ata, Ece},
  title =	{{Cloud of Assets and Threats: A Playful Method to Raise Awareness for Cloud Security in Industry}},
  booktitle =	{Third International Computer Programming Education Conference (ICPEC 2022)},
  pages =	{6:1--6:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-229-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{102},
  editor =	{Sim\~{o}es, Alberto and Silva, Jo\~{a}o Carlos},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2022.6},
  URN =		{urn:nbn:de:0030-drops-166107},
  doi =		{10.4230/OASIcs.ICPEC.2022.6},
  annote =	{Keywords: Cloud security, Cloud control matrix, Shared-responsibility model, Industry, Training, Gamification}
}
Document
Complete Volume
DOI: 10.4230/OASIcs.SLATE.2021
OASIcs, Volume 94, SLATE 2021, Complete Volume

Authors: Ricardo Queirós, Mário Pinto, Alberto Simões, Filipe Portela, and Maria João Pereira

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
OASIcs, Volume 94, SLATE 2021, Complete Volume
Cite as

10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 1-260, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@Proceedings{queiros_et_al:OASIcs.SLATE.2021,
  title =	{{OASIcs, Volume 94, SLATE 2021, Complete Volume}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{1--260},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021},
  URN =		{urn:nbn:de:0030-drops-144165},
  doi =		{10.4230/OASIcs.SLATE.2021},
  annote =	{Keywords: OASIcs, Volume 94, SLATE 2021, Complete Volume}
}
Document
Front Matter
DOI: 10.4230/OASIcs.SLATE.2021.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Ricardo Queirós, Mário Pinto, Alberto Simões, Filipe Portela, and Maria João Pereira

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 0:i-0:xvi, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{queiros_et_al:OASIcs.SLATE.2021.0,
  author =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{0:i--0:xvi},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.0},
  URN =		{urn:nbn:de:0030-drops-144171},
  doi =		{10.4230/OASIcs.SLATE.2021.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Invited Talk
DOI: 10.4230/OASIcs.SLATE.2021.1
Natural and Artificial Intelligence; Natural and Artificial Language (Invited Talk)

Authors: Diana Santos

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
This text starts by discussing what it means to be intelligent for humans and machines, what is the purpose of language, and how is human language fundamentally different from artificial languages. It presents the issue of values as one inescapable property of human language, and of human categorization in general, after reviewing five distinctive caracteristics of natural language. Then it proceeds to discuss static word embeddings, raising two questions: is the wisdom of the crowd an appropriate justification for using the underlying large text collections? And have the differences between languages been taken into account when intrinsically evaluating Portuguese word embeddings?
Cite as

Diana Santos. Natural and Artificial Intelligence; Natural and Artificial Language (Invited Talk). In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 1:1-1:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{santos:OASIcs.SLATE.2021.1,
  author =	{Santos, Diana},
  title =	{{Natural and Artificial Intelligence; Natural and Artificial Language}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{1:1--1:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.1},
  URN =		{urn:nbn:de:0030-drops-144181},
  doi =		{10.4230/OASIcs.SLATE.2021.1},
  annote =	{Keywords: Artificial Intelligence, Natural Language Processing}
}
Document
DOI: 10.4230/OASIcs.SLATE.2021.2
Derzis: A Path Aware Linked Data Crawler

Authors: André Fernandes dos Santos and José Paulo Leal

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
Consuming Semantic Web data presents several challenges, from the number of datasets it is composed of, to the (very) large size of some of those datasets and the uncertain availability of querying endpoints. According to its core principles, accessing linked data can be done simply by dereferencing the IRIs of RDF resources. This is a light alternative both for clients and servers when compared to dataset dumps or SPARQL endpoints. The linked data interface does not support complex querying, but using it recursively may suffice to gather information about RDF resources, or to extract the relevant sub-graph which can then be processed and queried using other methods. We present Derzis, an open source semantic web crawler capable of traversing the linked data cloud starting from a set of seed resources. Derzis maintains information about the paths followed while crawling, which allows to define property path-based restrictions to the crawling frontier.
Cite as

André Fernandes dos Santos and José Paulo Leal. Derzis: A Path Aware Linked Data Crawler. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 2:1-2:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{santos_et_al:OASIcs.SLATE.2021.2,
  author =	{Santos, Andr\'{e} Fernandes dos and Leal, Jos\'{e} Paulo},
  title =	{{Derzis: A Path Aware Linked Data Crawler}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{2:1--2:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.2},
  URN =		{urn:nbn:de:0030-drops-144198},
  doi =		{10.4230/OASIcs.SLATE.2021.2},
  annote =	{Keywords: Semantic web, linked open data, RDF, crawler}
}
Document
DOI: 10.4230/OASIcs.SLATE.2021.3
Major Minors - Ontological Representation of Minorities by Newspapers

Authors: Paulo Jorge Pereira Martins, Leandro José Abreu Dias Costa, and José Carlos Ramalho

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
The stigma associated with certain minorities has changed throughout the years, yet there’s no central data repository that enables a concrete tracking of this representation. Published articles on renowned newspapers are a way of determining the public perception on this subject, mainly digital newspapers, being it through the media representation (text and photo illustrations) or user comments. The present paper seeks to showcase a project that attempts to fulfill that shortage of data by providing a repository in the form of an ontology: RDF triplestores composing a semantic database (W3C standards for Semantic Web). This open-source project aims to be a research tool for mapping and studying the representation of minority groups in a Portuguese journalistic context over the course of two decades.
Cite as

Paulo Jorge Pereira Martins, Leandro José Abreu Dias Costa, and José Carlos Ramalho. Major Minors - Ontological Representation of Minorities by Newspapers. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 3:1-3:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{martins_et_al:OASIcs.SLATE.2021.3,
  author =	{Martins, Paulo Jorge Pereira and Costa, Leandro Jos\'{e} Abreu Dias and Ramalho, Jos\'{e} Carlos},
  title =	{{Major Minors - Ontological Representation of Minorities by Newspapers}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{3:1--3:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.3},
  URN =		{urn:nbn:de:0030-drops-144201},
  doi =		{10.4230/OASIcs.SLATE.2021.3},
  annote =	{Keywords: RDF, OWL, Ontologies, Knowledge Representation, Minorities}
}
Document
DOI: 10.4230/OASIcs.SLATE.2021.4
Lyntax - A grammar-Based Tool for Linguistics

Authors: Manuel Gouveia Carneiro de Sousa, Maria João Varanda Pereira, and Pedro Rangel Henriques

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
This paper is focused on using the formalism of attribute grammars to create a tool that allows Linguistic teachers to construct automatically their own processors totally adapted to each linguistic exercise. The system developed, named Lyntax, is a compiler for a domain specific language which intends to enable the teacher to specify different kinds of sentence structures, and then, ask the student to test his own sentences against those structures. The processor Lyntax validates the grammar (DSL program) written by the teacher, generating a processor every time the student defines a new sentence. For that ANTLR is used in both steps, generating not only the specialized processor but also the visualization of the syntax tree for analysis purposes. An interface that supports the specification of the language was built, also allowing the use of the processor and the generation of the specific grammar, abstracting the user of any calculations.
Cite as

Manuel Gouveia Carneiro de Sousa, Maria João Varanda Pereira, and Pedro Rangel Henriques. Lyntax - A grammar-Based Tool for Linguistics. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 4:1-4:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{desousa_et_al:OASIcs.SLATE.2021.4,
  author =	{de Sousa, Manuel Gouveia Carneiro and Pereira, Maria Jo\~{a}o Varanda and Henriques, Pedro Rangel},
  title =	{{Lyntax - A grammar-Based Tool for Linguistics}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{4:1--4:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.4},
  URN =		{urn:nbn:de:0030-drops-144213},
  doi =		{10.4230/OASIcs.SLATE.2021.4},
  annote =	{Keywords: Attribute Grammars, Linguistic Rules, Pedagogical Linguistic Tools}
}
Document
DOI: 10.4230/OASIcs.SLATE.2021.5
Programming Exercises Interoperability: The Case of a Non-Picky Consumer

Authors: Ricardo Queirós, José Carlos Paiva, and José Paulo Leal

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
Problem-solving is considered one of the most important skills to retain in the coming decades for building a modern and proactive society. In this realm, computer programming learning is vital to enrich those skills. Practicing in this area boils down to solve programming exercises. In order to foster this practice, it is necessary to provide students with the best of the breed automated tools and a good set of exercises in a fair quantity covering the curricula of a typical programming course. Despite the increasing appearance of automated tools such as program evaluators, gamification engines and sophisticated web environments, access to exercises remains problematic. In fact, although the existence of several code repositories (most for feed computer programming contests), the majority of them store the exercises in proprietary formats and without any access facilities hindering their use. This leaves no other option to teachers but to manually create programming exercises which is time-consuming and error prone, or simply, reuse the same exercises, from previous years, which is considered as a detrimental and limiting approach to enhance multi-faceted and creative programmers. The article surveys the current interoperability efforts on programming exercises, more precisely, in terms of serialization formats and communication protocols. This study will sustain the selection of an API to feed a code playground called LearnJS with random programming exercises.
Cite as

Ricardo Queirós, José Carlos Paiva, and José Paulo Leal. Programming Exercises Interoperability: The Case of a Non-Picky Consumer. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 5:1-5:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{queiros_et_al:OASIcs.SLATE.2021.5,
  author =	{Queir\'{o}s, Ricardo and Paiva, Jos\'{e} Carlos and Leal, Jos\'{e} Paulo},
  title =	{{Programming Exercises Interoperability: The Case of a Non-Picky Consumer}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{5:1--5:9},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.5},
  URN =		{urn:nbn:de:0030-drops-144220},
  doi =		{10.4230/OASIcs.SLATE.2021.5},
  annote =	{Keywords: programming exercises format, interoperability, automated assessment, learning programming}
}
Document
DOI: 10.4230/OASIcs.SLATE.2021.6
DataGen: JSON/XML Dataset Generator

Authors: Filipa Alves dos Santos, Hugo André Coelho Cardoso, João da Cunha e Costa, Válter Ferreira Picas Carvalho, and José Carlos Ramalho

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
In this document we describe the steps towards DataGen implementation. DataGen is a versatile and powerful tool that allows for quick prototyping and testing of software applications, since currently too few solutions offer both the complexity and scalability necessary to generate adequate datasets in order to feed a data API or a more complex APP enabling those applications testing with appropriate data volume and data complexity. DataGen core is a Domain Specific Language (DSL) that was created to specify datasets. This language suffered several updates: repeating fields (with no limit), fuzzy fields (statistically generated), lists, highorder functions over lists, custom made transformation functions. The final result is a complex algebra that allows the generation of very complex datasets coping with very complex requirements. Throughout the paper we will give several examples of the possibilities. After generating a dataset DataGen gives the user the possibility to generate a RESTFull data API with that dataset, creating a running prototype. This solution has already been used in real life cases, described with more detail throughout the paper, in which it was able to create the intended datasets successfully. These allowed the application’s performance to be tested and for the right adjustments to be made. The tool is currently being deployed for general use.
Cite as

Filipa Alves dos Santos, Hugo André Coelho Cardoso, João da Cunha e Costa, Válter Ferreira Picas Carvalho, and José Carlos Ramalho. DataGen: JSON/XML Dataset Generator. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 6:1-6:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{santos_et_al:OASIcs.SLATE.2021.6,
  author =	{Santos, Filipa Alves dos and Cardoso, Hugo Andr\'{e} Coelho and da Cunha e Costa, Jo\~{a}o and Carvalho, V\'{a}lter Ferreira Picas and Ramalho, Jos\'{e} Carlos},
  title =	{{DataGen: JSON/XML Dataset Generator}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{6:1--6:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.6},
  URN =		{urn:nbn:de:0030-drops-144239},
  doi =		{10.4230/OASIcs.SLATE.2021.6},
  annote =	{Keywords: JSON, XML, Data Generation, Open Source, REST API, Strapi, JavaScript, Node.js, Vue.js, Scalability, Fault Tolerance, Dataset, DSL, PEG.js, MongoDB}
}
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