31 Search Results for "Pinto, Pedro"


Document
Research
Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web

Authors: Florian Ruosch, Cristina Sarasua, and Abraham Bernstein

Published in: TGDK, Volume 3, Issue 3 (2025). Transactions on Graph Data and Knowledge, Volume 3, Issue 3


Abstract
In Argument Mining, predicting argumentative relations between texts (or spans) remains one of the most challenging aspects, even more so in the cross-document setting. This paper makes three key contributions to advance research in this domain. We first extend an existing dataset, the Sci-Arg corpus, by annotating it with explicit inter-document argumentative relations, thereby allowing arguments to be distributed over several documents forming an Argument Web; these new annotations are published using Semantic Web technologies (RDF, OWL). Second, we explore and evaluate three automated approaches for predicting these inter-document argumentative relations, establishing critical baselines on the new dataset. We find that a simple classifier based on discourse indicators with access to context outperforms neural methods. Third, we conduct a comparative analysis of these approaches for both intra- and inter-document settings, identifying statistically significant differences in results that indicate the necessity of distinguishing between these two scenarios. Our findings highlight significant challenges in this complex domain and open crucial avenues for future research on the Argument Web of Science, particularly for those interested in leveraging Semantic Web technologies and knowledge graphs to understand scholarly discourse. With this, we provide the first stepping stones in the form of a benchmark dataset, three baseline methods, and an initial analysis for a systematic exploration of this field relevant to the Web of Data and Science.

Cite as

Florian Ruosch, Cristina Sarasua, and Abraham Bernstein. Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web. In Transactions on Graph Data and Knowledge (TGDK), Volume 3, Issue 3, pp. 4:1-4:33, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)


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@Article{ruosch_et_al:TGDK.3.3.4,
  author =	{Ruosch, Florian and Sarasua, Cristina and Bernstein, Abraham},
  title =	{{Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{4:1--4:33},
  ISSN =	{2942-7517},
  year =	{2025},
  volume =	{3},
  number =	{3},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.3.3.4},
  URN =		{urn:nbn:de:0030-drops-252159},
  doi =		{10.4230/TGDK.3.3.4},
  annote =	{Keywords: Argument Mining, Large Language Models, Knowledge Graphs, Link Prediction}
}
Document
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
Exploring Mutation Testing for Teaching Introductory Programming

Authors: Pedro Vasconcelos

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


Abstract
This paper proposes the use of introductory programming assignments based on mutation testing where students are asked to write tests rather than code. We believe such exercises can be used to teach code reading skills before students could write the corresponding programs on their own. Furthermore, feedback for such exercises can be automatically generated using testing tools. We have extended an existing web-based system for programming exercises with such mutation testing assignments and show some example use cases. This is on-going work that has yet to be validated in the classroom.

Cite as

Pedro Vasconcelos. Exploring Mutation Testing for Teaching Introductory Programming. In 6th International Computer Programming Education Conference (ICPEC 2025). Open Access Series in Informatics (OASIcs), Volume 133, pp. 1:1-1:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)


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@InProceedings{vasconcelos:OASIcs.ICPEC.2025.1,
  author =	{Vasconcelos, Pedro},
  title =	{{Exploring Mutation Testing for Teaching Introductory Programming}},
  booktitle =	{6th International Computer Programming Education Conference (ICPEC 2025)},
  pages =	{1:1--1:8},
  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.2025.1},
  URN =		{urn:nbn:de:0030-drops-240319},
  doi =		{10.4230/OASIcs.ICPEC.2025.1},
  annote =	{Keywords: mutation testing, programming education}
}
Document
Linear Logic Using Negative Connectives

Authors: Dale Miller

Published in: LIPIcs, Volume 337, 10th International Conference on Formal Structures for Computation and Deduction (FSCD 2025)


Abstract
In linear logic, the invertibility of a connective’s right-introduction rule is equivalent to the non-invertibility of its left-introduction rule. This duality motivates the concept of polarity: a connective is termed negative if its right-introduction rule is invertible, and positive otherwise. A two-sided sequent calculus for first-order linear logic featuring only negative connectives exhibits a compelling proof theory. Proof search in such a system unfolds through alternating phases of invertible (right-introduction) rules and non-invertible (left-introduction) rules, mirroring the processes of goal-reduction and backchaining, respectively. These phases are formalized here using the framework of multifocused proofs. We analyze linear logic by dissecting it into three sublogics: L₀ (first-order intuitionistic logic with conjunction, implication, and universal quantification); L₁ (an extension of L₀ incorporating linear implication which preserves its intuitionistic nature); and L₂ (which includes multiplicative falsity ⊥ and encompasses classical linear logic). It is worth noting that the single-conclusion restriction on sequents, a constraint imposed by Gentzen, is not a prerequisite for defining intuitionistic logic proofs within this framework, as it emerges naturally by restricting the formulas to those of L₀ and L₁. While multifocused proofs of L₂ sequents can accommodate parallel applications of left-introduction rules, proofs of L₀ and L₁ sequents cannot leverage such parallel rule applications. This notion of parallelism within proofs enables a novel approach to handling disjunctions and existential quantifiers in the natural deduction system for intuitionistic logic.

Cite as

Dale Miller. Linear Logic Using Negative Connectives. In 10th International Conference on Formal Structures for Computation and Deduction (FSCD 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 337, pp. 29:1-29:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)


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@InProceedings{miller:LIPIcs.FSCD.2025.29,
  author =	{Miller, Dale},
  title =	{{Linear Logic Using Negative Connectives}},
  booktitle =	{10th International Conference on Formal Structures for Computation and Deduction (FSCD 2025)},
  pages =	{29:1--29:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-374-4},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{337},
  editor =	{Fern\'{a}ndez, Maribel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSCD.2025.29},
  URN =		{urn:nbn:de:0030-drops-236442},
  doi =		{10.4230/LIPIcs.FSCD.2025.29},
  annote =	{Keywords: Linear logic, multifocused proofs, sequent calculus}
}
Document
Seven Years Later: Lessons Learned in Automated Assessment

Authors: Bruno Pereira Cipriano and Pedro Alves

Published in: OASIcs, Volume 122, 5th International Computer Programming Education Conference (ICPEC 2024)


Abstract
Automatic assessment tools (AATs) are software systems used in teaching environments to automatically evaluate code written by students. We have been using such a system since 2017, in multiple courses and across multiple evaluation types. This paper presents a set of lessons learned from our experience of using said system. These recommendations should help other teachers and instructors who wish to use or already use AATs in creating assessments which give students useful feedback in terms of improving their work and reduce the likelihood of unfair evaluations.

Cite as

Bruno Pereira Cipriano and Pedro Alves. Seven Years Later: Lessons Learned in Automated Assessment. In 5th International Computer Programming Education Conference (ICPEC 2024). Open Access Series in Informatics (OASIcs), Volume 122, pp. 3:1-3:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{cipriano_et_al:OASIcs.ICPEC.2024.3,
  author =	{Cipriano, Bruno Pereira and Alves, Pedro},
  title =	{{Seven Years Later: Lessons Learned in Automated Assessment}},
  booktitle =	{5th International Computer Programming Education Conference (ICPEC 2024)},
  pages =	{3:1--3:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-347-8},
  ISSN =	{2190-6807},
  year =	{2024},
  volume =	{122},
  editor =	{Santos, Andr\'{e} L. and Pinto-Albuquerque, Maria},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2024.3},
  URN =		{urn:nbn:de:0030-drops-209725},
  doi =		{10.4230/OASIcs.ICPEC.2024.3},
  annote =	{Keywords: learning to program, automatic assessment tools, unit testing, feedback, large language models}
}
Document
Kumon-Inspired Approach to Teaching Programming Fundamentals

Authors: Ivone Amorim, Pedro Baltazar Vasconcelos, and João Pedro Pedroso

Published in: OASIcs, Volume 122, 5th International Computer Programming Education Conference (ICPEC 2024)


Abstract
Integration of introductory programming into higher education programs beyond computer science has lead to an increase in the failure and drop out rates of programming courses. In this context, programming instructors have explored new methodologies by introducing dynamic elements in the teaching-learning process, such as automatic code evaluation systems and gamification. Even though these methods have shown to be successful in improving students' engagement, they do not address all the existing problems and new strategies should be explored. In this work, we propose a new approach that combines the strengths of the Kumon method for personalized learning and progressive skill acquisition with the ability of online judge systems to provide automated assessment and immediate feedback. This approach has been used in teaching Programming I to students in several bachelor degrees and led to a 10% increase in exam approval rates compared to the baseline editions in which our Kumon-inspired methodology was not implemented.

Cite as

Ivone Amorim, Pedro Baltazar Vasconcelos, and João Pedro Pedroso. Kumon-Inspired Approach to Teaching Programming Fundamentals. In 5th International Computer Programming Education Conference (ICPEC 2024). Open Access Series in Informatics (OASIcs), Volume 122, pp. 5:1-5:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{amorim_et_al:OASIcs.ICPEC.2024.5,
  author =	{Amorim, Ivone and Vasconcelos, Pedro Baltazar and Pedroso, Jo\~{a}o Pedro},
  title =	{{Kumon-Inspired Approach to Teaching Programming Fundamentals}},
  booktitle =	{5th International Computer Programming Education Conference (ICPEC 2024)},
  pages =	{5:1--5:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-347-8},
  ISSN =	{2190-6807},
  year =	{2024},
  volume =	{122},
  editor =	{Santos, Andr\'{e} L. and Pinto-Albuquerque, Maria},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2024.5},
  URN =		{urn:nbn:de:0030-drops-209749},
  doi =		{10.4230/OASIcs.ICPEC.2024.5},
  annote =	{Keywords: Programming teaching, Programming education, Kumon method, Progressive learning, Online judge system}
}
Document
LCSMAR, an AR Based Tool to Inspect Imperative Programs

Authors: Luis Carlos Martins, Lázaro Vinicius Lima, and Pedro Rangel Henriques

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


Abstract
LCSMAR is a Learning Resource that takes advantage of Augmented Reality in order to promote the development of Computational Thinking among students who are starting to dive in to the world of computer programming. Students can write code in a imperative programming language and, with the help of their mobile phone, they can visualize and analyze the execution of the code they developed, seeing how variable and data structures change over time with each instruction. Augmented Reality tools allow the visualization of abstract concepts that are often misunderstood and that cause misconception among students, which in term should help students develop the abilities to understand and use these abstract concepts, such as data structures, in other areas of application.

Cite as

Luis Carlos Martins, Lázaro Vinicius Lima, and Pedro Rangel Henriques. LCSMAR, an AR Based Tool to Inspect Imperative Programs. In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 3:1-3:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@InProceedings{martins_et_al:OASIcs.ICPEC.2023.3,
  author =	{Martins, Luis Carlos and Lima, L\'{a}zaro Vinicius and Henriques, Pedro Rangel},
  title =	{{LCSMAR, an AR Based Tool to Inspect Imperative Programs}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{3:1--3:9},
  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.2023.3},
  URN =		{urn:nbn:de:0030-drops-184994},
  doi =		{10.4230/OASIcs.ICPEC.2023.3},
  annote =	{Keywords: Augmented Reality, Learning Resources, Computer Programming, Computational Thinking}
}
Document
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.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
Haskelite: A Step-By-Step Interpreter for Teaching Functional Programming

Authors: Pedro Vasconcelos

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


Abstract
This paper describes Haskelite, a step-by-step interpreter for a small subset of Haskell. Haskelite is designed to help teach fundamental concepts of functional programming, namely: evaluation by rewriting; definition of functions using pattern-matching; recursion; higher-order functions; and on-demand evaluation. The interpreter is implemented in Elm and compiled to JavaScript, so it runs on the browser and requires no installation. This is on-going work and has yet to be fully evaluated; we present some initial experience in the classroom and highlight some points for improvement.

Cite as

Pedro Vasconcelos. Haskelite: A Step-By-Step Interpreter for Teaching Functional Programming. In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 12:1-12:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@InProceedings{vasconcelos:OASIcs.ICPEC.2023.12,
  author =	{Vasconcelos, Pedro},
  title =	{{Haskelite: A Step-By-Step Interpreter for Teaching Functional Programming}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{12:1--12:8},
  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.2023.12},
  URN =		{urn:nbn:de:0030-drops-185080},
  doi =		{10.4230/OASIcs.ICPEC.2023.12},
  annote =	{Keywords: Functional programming, Step-by-step evaluators, Web applications}
}
Document
A Systematic Review of Teacher-Facing Dashboards for Collaborative Learning Activities and Tools in Online Higher Education

Authors: Tiago Romão, Pedro Pestana, and Leonel Morgado

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


Abstract
Dashboard for online higher education support monitoring and evaluation of students’ interactions, but mostly limited to interaction occurring within learning management systems. In this study, we sought to find which collaborative learning activities and tools in online higher education are included in teaching dashboards. By following Kitchenham’s procedure for systematic reviews, 36 papers were identified according to this focus and analysed. The results identify dashboards supporting collaborative tools, both synchronous and asynchronous, along categories such as learning management systems, communication tools, social media, computer programming code management platforms, project management platforms, and collaborative writing tools. Dashboard support was also found for collaborative activities, grouped under four categories of forum discussion activities, three categories of communication activities and four categories of collaborative editing/sharing activities, though most of the analysed dashboards only provide support for no more than two or three collaborative tools. This represents a need for further research on how to develop dashboards that combine data from a more diverse set of collaborative activities and tools.

Cite as

Tiago Romão, Pedro Pestana, and Leonel Morgado. A Systematic Review of Teacher-Facing Dashboards for Collaborative Learning Activities and Tools in Online Higher Education. In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 13:1-13:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@InProceedings{romao_et_al:OASIcs.ICPEC.2023.13,
  author =	{Rom\~{a}o, Tiago and Pestana, Pedro and Morgado, Leonel},
  title =	{{A Systematic Review of Teacher-Facing Dashboards for Collaborative Learning Activities and Tools in Online Higher Education}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{13:1--13:12},
  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.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.13},
  URN =		{urn:nbn:de:0030-drops-185095},
  doi =		{10.4230/OASIcs.ICPEC.2023.13},
  annote =	{Keywords: Dashboards, collaborative tools, collaborative activities, online learning, e-learning, computer-supported collaborative learning}
}
Document
Invited Talk
Concurrent Separation Logics: Logical Abstraction, Logical Atomicity and Environment Liveness Conditions (Invited Talk)

Authors: Philippa Gardner

Published in: LIPIcs, Volume 243, 33rd International Conference on Concurrency Theory (CONCUR 2022)


Abstract
Scalable verification for concurrent programs with shared memory is a long-standing, difficult problem. In 2004, O'Hearn and Brookes introduced concurrent separation logic to provide compositional reasoning about coarse-grained concurrent programs with synchronisation primitives (Gödel prize, 2016). In 2010, I introduced logical abstraction (the fiction of separation) to CSL, developing the CAP logic for reasoning about fine-grained concurrent programs in general and fine-grained lock algorithms in particular. In one logic, it was possible to provide two-sided specifications of concurrent operations, with formally verified implementations and clients. In 2014, I introduced logical atomicity (the fiction of atomicity) to concurrent separation logics, developing the TaDA logic to capture when individual operations behave atomically. Unlike CAP, where synchronisation primitives leak into the specifications, with TaDA the specifications are "just right" in that they provide more general atomic functions specifications to capture, for example, the full behaviour of lock operations. In 2021, I introduced environment liveness conditions to concurrent separation logics, developing the TaDA Live logic for reasoning compositionally about the termination of blocking fine-grained concurrent programs. The crucial challenge is how to deal with abstract atomic blocking: that is, abstract atomic operations that have blocking behaviour arising from busy-waiting patterns as found in, for example, fine-grained spin locks. The fundamental innovation is with the design of abstract specifications that capture this blocking behaviour as liveness assumptions on the environment. In this talk, I will explain this on-going journey in the wonderful world of concurrent separation logics. I will also explain why I have a bright green office chair in the corner of my office, patterned in gold lamé. Many thanks to my fabulous coauthors on concurrent separation logics: Thomas Dinsdale-Young, Emanuele D'Osualdo, Mike Dodds, Azadeh Farzan, Matthew Parkinson, Pedro da Rocha Pinto, Julian Sutherland, Viktor Vafeiadis and more. Suggested Reading: - Peter O'Hearn: Resources, Concurrency and Local Reasoning, Journal of Theoretical Computer Science, Festschrift for John C Reynolds 70th birthday, 2007. - Thomas Dinsdale-Young, Pedro da Rocha Pinto and Philippa Gardner: A Perspective on Specifying and Verifying Concurrent Modules, Journal of Logical and Algebraic Methods in Programming, 2018. - Emanuele D'Osualdo, Azadeh Farzan, Philippa Gardner and Julian Sutherland: TaDA Live: Compositional Reasoning for Termination of Fine-grained Concurrent Programs, ACM Transactions on Programming Languages and Systems (TOPLAS), 2021.

Cite as

Philippa Gardner. Concurrent Separation Logics: Logical Abstraction, Logical Atomicity and Environment Liveness Conditions (Invited Talk). In 33rd International Conference on Concurrency Theory (CONCUR 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 243, p. 2:1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


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@InProceedings{gardner:LIPIcs.CONCUR.2022.2,
  author =	{Gardner, Philippa},
  title =	{{Concurrent Separation Logics: Logical Abstraction, Logical Atomicity and Environment Liveness Conditions}},
  booktitle =	{33rd International Conference on Concurrency Theory (CONCUR 2022)},
  pages =	{2:1--2:1},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-246-4},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{243},
  editor =	{Klin, Bartek and Lasota, S{\l}awomir and Muscholl, Anca},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CONCUR.2022.2},
  URN =		{urn:nbn:de:0030-drops-170659},
  doi =		{10.4230/LIPIcs.CONCUR.2022.2},
  annote =	{Keywords: Concurrent separation logic}
}
Document
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.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
NetLangEd, A Web Editor to Support Online Comment Annotation

Authors: Rui Rodrigues, Cristiana Araújo, and Pedro Rangel Henriques

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


Abstract
This paper focuses on the scientific areas of Digital Humanities, Social Networks and Inappropriate Social Discourse. The main objective of this research project is the development of an editor that allows researchers in the human and social sciences or psychologists to add their reflections or ideas out coming from reading and analyzing posts and comments of an online corpus . In the present context, the editor is being integrated with the analysis tools available in the NetLang platform. NetLangEd, in addition to allowing the three basic operations of adding, editing and removing annotations, will also offer mechanisms to manage, organize, view and locate annotations, all of which will be performed in an easy, fast and user-friendly way.

Cite as

Rui Rodrigues, Cristiana Araújo, and Pedro Rangel Henriques. NetLangEd, A Web Editor to Support Online Comment Annotation. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 15:1-15:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{rodrigues_et_al:OASIcs.SLATE.2021.15,
  author =	{Rodrigues, Rui and Ara\'{u}jo, Cristiana and Henriques, Pedro Rangel},
  title =	{{NetLangEd, A Web Editor to Support Online Comment Annotation}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{15:1--15:16},
  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.2021.15},
  URN =		{urn:nbn:de:0030-drops-144325},
  doi =		{10.4230/OASIcs.SLATE.2021.15},
  annote =	{Keywords: Online Annotation tool, Document Markup System, Text Editor, Discourse Analysis}
}
Document
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.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
Towards Automatic Creation of Annotations to Foster Development of Named Entity Recognizers

Authors: Emanuel Matos, Mário Rodrigues, Pedro Miguel, and António Teixeira

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


Abstract
Named Entity Recognition (NER) is an essential step for many natural language processing tasks, including Information Extraction. Despite recent advances, particularly using deep learning techniques, the creation of accurate named entity recognizers continues a complex task, highly dependent on annotated data availability. To foster existence of NER systems for new domains it is crucial to obtain the required large volumes of annotated data with low or no manual labor. In this paper it is proposed a system to create the annotated data automatically, by resorting to a set of existing NERs and information sources (DBpedia). The approach was tested with documents of the Tourism domain. Distinct methods were applied for deciding the final named entities and respective tags. The results show that this approach can increase the confidence on annotations and/or augment the number of categories possible to annotate. This paper also presents examples of new NERs that can be rapidly created with the obtained annotated data. The annotated data, combined with the possibility to apply both the ensemble of NER systems and the new Gazetteer-based NERs to large corpora, create the necessary conditions to explore the recent neural deep learning state-of-art approaches to NER (ex: BERT) in domains with scarce or nonexistent data for training.

Cite as

Emanuel Matos, Mário Rodrigues, Pedro Miguel, and António Teixeira. Towards Automatic Creation of Annotations to Foster Development of Named Entity Recognizers. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 11:1-11:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{matos_et_al:OASIcs.SLATE.2021.11,
  author =	{Matos, Emanuel and Rodrigues, M\'{a}rio and Miguel, Pedro and Teixeira, Ant\'{o}nio},
  title =	{{Towards Automatic Creation of Annotations to Foster Development of Named Entity Recognizers}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{11:1--11:14},
  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.2021.11},
  URN =		{urn:nbn:de:0030-drops-144286},
  doi =		{10.4230/OASIcs.SLATE.2021.11},
  annote =	{Keywords: Named Entity Recognition (NER), Automatic Annotation, Gazetteers, Tourism, Portuguese}
}
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