10 Search Results for "Peixoto de Queirós, Ricardo Alexandre"

Volume

OASIcs, Volume 112

4th International Computer Programming Education Conference (ICPEC 2023)

ICPEC 2023, June 26-28, 2023, Vila do Conde, Portugal

Editors: Ricardo Alexandre Peixoto de Queirós and Mário Paulo Teixeira Pinto

Document
DOI: 10.4230/OASIcs.ICPEC.2025.2
Enabling Secure Coding: Exploring GenAI for Developer Training and Education

Authors: Sathwik Amburi, Tiago Espinha Gasiba, Ulrike Lechner, and Maria Pinto-Albuquerque

Published in: OASIcs, Volume 133, 6th International Computer Programming Education Conference (ICPEC 2025)

Abstract
The rapid adoption of GenAI for code generation presents unprecedented opportunities and significant security challenges. Raising awareness about secure coding is critical for preventing software vulnerabilities. To investigate how Generative AI can best support secure coding, we built an AI Secure Coding platform, an interactive training environment that embeds a GPT-4 based chatbot directly into a structured challenge workflow. The platform comprises a landing page, a challenges page with three AI-generated tasks, and a challenge page where participants work with code snippets. In each challenge, developers (1) identify vulnerabilities by reviewing code and adding comments, (2) ask the AI for help via a chat based interface, (3) review and refine comments based on AI feedback, and (4) fix vulnerabilities by submitting secure patches. The study involved 18 industry developers tackling three challenges. Participants used the AI Secure Coding Platform to detect and remediate vulnerabilities and then completed a survey to capture their opinions and comfort level with AI assisted platform for secure coding. Results show that AI assistance can boost productivity, reduce errors, and uncover more defects when treated as a "second pair of eyes," but it can also foster over-reliance. This study introduces the AI Secure Coding platform, presents preliminary results from a initial study, and shows that embedding GenAI into a structured secure-coding workflow can both enable and challenge developers. This work also opens the door to a new research field: leveraging GenAI to enable secure software development.
Cite as

Sathwik Amburi, Tiago Espinha Gasiba, Ulrike Lechner, and Maria Pinto-Albuquerque. Enabling Secure Coding: Exploring GenAI for Developer Training and Education. In 6th International Computer Programming Education Conference (ICPEC 2025). Open Access Series in Informatics (OASIcs), Volume 133, pp. 2:1-2:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{amburi_et_al:OASIcs.ICPEC.2025.2,
  author =	{Amburi, Sathwik and Espinha Gasiba, Tiago and Lechner, Ulrike and Pinto-Albuquerque, Maria},
  title =	{{Enabling Secure Coding: Exploring GenAI for Developer Training and Education}},
  booktitle =	{6th International Computer Programming Education Conference (ICPEC 2025)},
  pages =	{2:1--2:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-393-5},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{133},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Portela, Filipe and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2025.2},
  URN =		{urn:nbn:de:0030-drops-240321},
  doi =		{10.4230/OASIcs.ICPEC.2025.2},
  annote =	{Keywords: Secure Coding, Industry, Software Development, Generative AI, Large Language Models, Teaching}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2025.17
Osiris: A Multi-Language Transpiler for Educational Purposes

Authors: Breno Marrão, José Paulo Leal, and Ricardo Queirós

Published in: OASIcs, Volume 133, 6th International Computer Programming Education Conference (ICPEC 2025)

Abstract
While server-side assessment of programming exercises, with its ease of installing diverse compilers and execution environments, is common, it presents three key limitations: the necessity of a constant Internet connection, increased bandwidth consumption, and centralized execution load. The alternative is to rely on JavaScript, the single programming language supported by all standard web browsers. This paper introduces Osiris, a pure JavaScript multi-language transpiler designed to enable the execution of diverse programming languages within web browsers. Targeted primarily at Virtual Learning Environments (VLE) for language programming education, Osiris employs a parser generator to translate small student programs into JavaScript based on language-specific grammars with semantic rules. It also includes a comprehensive, though not exhaustive, JavaScript library that emulates the standard libraries of its supported languages. Validation of Osiris indicates the pedagogical effectiveness of browser-based transpilation for introductory programming education.
Cite as

Breno Marrão, José Paulo Leal, and Ricardo Queirós. Osiris: A Multi-Language Transpiler for Educational Purposes. In 6th International Computer Programming Education Conference (ICPEC 2025). Open Access Series in Informatics (OASIcs), Volume 133, pp. 17:1-17:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{marrao_et_al:OASIcs.ICPEC.2025.17,
  author =	{Marr\~{a}o, Breno and Leal, Jos\'{e} Paulo and Queir\'{o}s, Ricardo},
  title =	{{Osiris: A Multi-Language Transpiler for Educational Purposes}},
  booktitle =	{6th International Computer Programming Education Conference (ICPEC 2025)},
  pages =	{17:1--17:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-393-5},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{133},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Portela, Filipe and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2025.17},
  URN =		{urn:nbn:de:0030-drops-240471},
  doi =		{10.4230/OASIcs.ICPEC.2025.17},
  annote =	{Keywords: Transpiler, Programming Education, JavaScript, Python, Virtual Learning Environments, Client-Side Execution}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2025.4
Can Open Large Language Models Catch Vulnerabilities?

Authors: Diogo Gaspar Lopes, Tiago Espinha Gasiba, Sathwik Amburi, and Maria Pinto-Albuquerque

Published in: OASIcs, Volume 133, 6th International Computer Programming Education Conference (ICPEC 2025)

Abstract
As Large Language Models (LLMs) become increasingly integrated into secure software development workflows, a critical question remains unanswered: can these models not only detect insecure code but also reliably classify vulnerabilities according to standardized taxonomies? In this work, we conduct a systematic evaluation of three state-of-the-art LLMs - Llama3, Codestral, and Deepseek R1 - using a carefully filtered subset of the Big-Vul dataset annotated with eight representative Common Weakness Enumeration categories. Adopting a closed-world classification setup, we assess each model’s performance in both identifying the presence of vulnerabilities and mapping them to the correct CWE label. Our findings reveal a sharp contrast between high detection rates and markedly poor classification accuracy, with frequent overgeneralization and misclassification. Moreover, we analyze model-specific biases and common failure modes, shedding light on the limitations of current LLMs in performing fine-grained security reasoning.These insights are especially relevant in educational contexts, where LLMs are being adopted as learning aids despite their limitations. A nuanced understanding of their behaviour is essential to prevent the propagation of misconceptions among students. Our results expose key challenges that must be addressed before LLMs can be reliably deployed in security-sensitive environments.
Cite as

Diogo Gaspar Lopes, Tiago Espinha Gasiba, Sathwik Amburi, and Maria Pinto-Albuquerque. Can Open Large Language Models Catch Vulnerabilities?. In 6th International Computer Programming Education Conference (ICPEC 2025). Open Access Series in Informatics (OASIcs), Volume 133, pp. 4:1-4:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{gasparlopes_et_al:OASIcs.ICPEC.2025.4,
  author =	{Gaspar Lopes, Diogo and Espinha Gasiba, Tiago and Amburi, Sathwik and Pinto-Albuquerque, Maria},
  title =	{{Can Open Large Language Models Catch Vulnerabilities?}},
  booktitle =	{6th International Computer Programming Education Conference (ICPEC 2025)},
  pages =	{4:1--4:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-393-5},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{133},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Portela, Filipe and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2025.4},
  URN =		{urn:nbn:de:0030-drops-240340},
  doi =		{10.4230/OASIcs.ICPEC.2025.4},
  annote =	{Keywords: Large Language Models (LLMs), Secure Coding, CWE Classification, Machine Learning, Software Vulnerability Detection, Artificial Intelligence, Code Analysis, Big-Vul Dataset}
}
Document
Complete Volume
DOI: 10.4230/OASIcs.ICPEC.2023
OASIcs, Volume 112, ICPEC 2023, Complete Volume

Authors: Ricardo Alexandre Peixoto de Queirós and Mário Paulo Teixeira Pinto

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

Abstract
OASIcs, Volume 112, ICPEC 2023, Complete Volume
Cite as

4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 1-152, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Proceedings{peixotodequeiros_et_al:OASIcs.ICPEC.2023,
  title =	{{OASIcs, Volume 112, ICPEC 2023, Complete Volume}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{1--152},
  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.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023},
  URN =		{urn:nbn:de:0030-drops-184951},
  doi =		{10.4230/OASIcs.ICPEC.2023},
  annote =	{Keywords: OASIcs, Volume 112, ICPEC 2023, Complete Volume}
}
Document
Front Matter
DOI: 10.4230/OASIcs.ICPEC.2023.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Ricardo Alexandre Peixoto de Queirós and Mário Paulo Teixeira Pinto

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

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

4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 0:i-0:xii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{peixotodequeiros_et_al:OASIcs.ICPEC.2023.0,
  author =	{Peixoto de Queir\'{o}s, Ricardo Alexandre and Teixeira Pinto, M\'{a}rio Paulo},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{0:i--0:xii},
  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.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.0},
  URN =		{urn:nbn:de:0030-drops-184969},
  doi =		{10.4230/OASIcs.ICPEC.2023.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Short Paper
DOI: 10.4230/OASIcs.ICPEC.2023.4
Can a Content Management System Provide a Good User Experience to Teachers? (Short Paper)

Authors: Yannik Bauer, José Paulo Leal, and Ricardo Queirós

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

Abstract
The paper discusses an ongoing project that aims to enhance the UX of teachers while using e-learning systems. Specifically, the project focuses on developing the teacher’s user interface (UI) for Agni, a web-based code playground for learning JavaScript. The goal is to design an intuitive UI with valuable features that will encourage more teachers to use the system. To achieve this goal, the paper explores the use of a headless Content Management System (CMS) called Strapi. The primary research question the paper seeks to answer is whether a headless CMS, specifically Strapi, can provide a good UX to teachers. A usability evaluation of the built-in Strapi UI for content creation and management reveals it to be generally consistent and user-friendly but challenging and unintuitive to create courses with programming exercises. As a result, the decision was made to develop a new teacher’s UI based on the existing Agni UI for students in an editable version. Once the development is complete, a new usability evaluation of the fully developed teacher’s UI will be conducted with the Strapi UI evaluation as a baseline for comparison.
Cite as

Yannik Bauer, José Paulo Leal, and Ricardo Queirós. Can a Content Management System Provide a Good User Experience to Teachers? (Short Paper). In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 4:1-4:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{bauer_et_al:OASIcs.ICPEC.2023.4,
  author =	{Bauer, Yannik and Leal, Jos\'{e} Paulo and Queir\'{o}s, Ricardo},
  title =	{{Can a Content Management System Provide a Good User Experience to Teachers?}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{4:1--4:8},
  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.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.4},
  URN =		{urn:nbn:de:0030-drops-185004},
  doi =		{10.4230/OASIcs.ICPEC.2023.4},
  annote =	{Keywords: learning environment, programming exercises, programming learning, automatic assessment, headless CMS, CMS, user experience}
}
Document
Short Paper
DOI: 10.4230/OASIcs.ICPEC.2023.5
Sifu Reloaded: An Open-Source Gamified Web-Based CyberSecurity Awareness Platform (Short Paper)

Authors: José Carlos Paiva, Ricardo Queirós, and Tiago Gasiba

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

Abstract
Malicious actors can cause severe damage by exploiting software vulnerabilities. In industrial settings, where critical infrastructures rely on software, handling these vulnerabilities with utmost care is crucial to prevent catastrophic consequences. For this purpose, a cybersecurity awareness platform called Sifu was created. This platform automatically assesses challenges to verify its compliance to secure coding guidelines. Using an artificial intelligence method, an interactive component provides players with solution-guiding hints. This paper presents an improved version of the Sifu platform, which evolves the tool in the following aspects: architecture, data model and user interface. The new platform separates the server and client-side using a REST API architecture. It also accommodates an intrinsic and richer layer of gamification, which explores the concept of game rooms at an organizational and gamification level. Finally, it offers an improved interactive training experience for individuals and organizations through a responsive and intuitive single-page web application.
Cite as

José Carlos Paiva, Ricardo Queirós, and Tiago Gasiba. Sifu Reloaded: An Open-Source Gamified Web-Based CyberSecurity Awareness Platform (Short Paper). In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 5:1-5:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{paiva_et_al:OASIcs.ICPEC.2023.5,
  author =	{Paiva, Jos\'{e} Carlos and Queir\'{o}s, Ricardo and Gasiba, Tiago},
  title =	{{Sifu Reloaded: An Open-Source Gamified Web-Based CyberSecurity Awareness Platform}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{5:1--5:8},
  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.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.5},
  URN =		{urn:nbn:de:0030-drops-185014},
  doi =		{10.4230/OASIcs.ICPEC.2023.5},
  annote =	{Keywords: learning environment, cybersecurity, challenges, gamification, automatic assessment}
}
Document
Short Paper
DOI: 10.4230/OASIcs.ICPEC.2023.6
A Gamified Educational Escape Rooms' Framework for Computer Programming Classes (Short Paper)

Authors: Ricardo Queirós, Carla Pinto, Mário Cruz, and Daniela Mascarenhas

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

Abstract
This paper presents a study on the use of gamified educational escape rooms to foster the teaching-learning process of computer programming, based on an user type taxonomy. The ultimate goal of this work is to identify and validate the most suitable gamification elements and mechanics for each user profile, providing case studies that illustrate their implementation. The main contribution of this work is to guide the design process of educational escape rooms in any domain, by considering the needs, preferences, and motivations of different user types.
Cite as

Ricardo Queirós, Carla Pinto, Mário Cruz, and Daniela Mascarenhas. A Gamified Educational Escape Rooms' Framework for Computer Programming Classes (Short Paper). In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 6:1-6:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{queiros_et_al:OASIcs.ICPEC.2023.6,
  author =	{Queir\'{o}s, Ricardo and Pinto, Carla and Cruz, M\'{a}rio and Mascarenhas, Daniela},
  title =	{{A Gamified Educational Escape Rooms' Framework for Computer Programming Classes}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{6:1--6:8},
  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.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.6},
  URN =		{urn:nbn:de:0030-drops-185021},
  doi =		{10.4230/OASIcs.ICPEC.2023.6},
  annote =	{Keywords: Escape Room, Gamification, Computer Programming, User Type Taxonomy}
}
Document
Short Paper
DOI: 10.4230/OASIcs.ICPEC.2023.11
Automated Assessment of Simple Web Applications (Short Paper)

Authors: Luís Maia Costa, José Paulo Leal, and Ricardo Queirós

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

Abstract
Web programming education is an important component of modern computer science curricula. Assessing students’ web programming skills can be time-consuming and challenging for educators. This paper introduces Webpal, an automated assessment tool for web programming exercises in entry-level courses. Webpal evaluates web applications coded in HTML, CSS, and Javascript, and provides feedback to students. This tool integrates with Virtual Learning Environments (VLEs) through an API, allowing the creation, storage, and access to exercises while assessing student attempts based on the created exercises. The evaluation process comprises various subcomponents: static assessment, interface matching, functional testing, and feedback management. This approach aims to provide feedback that helps students overcome their challenges in web programming assignments. This paper also presents a demo showcasing the tool’s features and functionality in a simulated VLE environment.
Cite as

Luís Maia Costa, José Paulo Leal, and Ricardo Queirós. Automated Assessment of Simple Web Applications (Short Paper). In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 11:1-11:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{costa_et_al:OASIcs.ICPEC.2023.11,
  author =	{Costa, Lu{\'\i}s Maia and Leal, Jos\'{e} Paulo and Queir\'{o}s, Ricardo},
  title =	{{Automated Assessment of Simple Web Applications}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{11:1--11:8},
  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.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.11},
  URN =		{urn:nbn:de:0030-drops-185072},
  doi =		{10.4230/OASIcs.ICPEC.2023.11},
  annote =	{Keywords: Web Applications, Static Assessment, Interface Matching, Functional Assessment, Feedback Manager}
}
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