2 Search Results for "Alves, Júlio"

Document
DOI: 10.4230/OASIcs.SLATE.2025.5
CVTool: Automating Content Variants of CVs

Authors: Julio Beites Gonçalves, Maria João Varanda Pereira, and Pedro Rangel Henriques

Published in: OASIcs, Volume 135, 14th Symposium on Languages, Applications and Technologies (SLATE 2025)

Abstract
As academic professionals, we frequently need to create different versions of our CVs for project applications, career evaluations, or competitions. These versions may be chronologically structured or skill-oriented, covering specific periods and written in various languages. Even when using a LaTeX document as a base, numerous modifications are required each time an updated CV version is requested for a specific purpose. The primary objective of the project reported in this paper is to design and implement a web-based system (CVTool) that simplifies the management of LaTeX CV content while ensuring flexibility. The CVTool is built on a domain-specific language that enables the creation of various filters, allowing for the automatic content adjustment while preserving the original format. Information is extracted from the LaTeX document, and users can specify the sections, dates, skills they want to highlight, and the language in which the CV should be generated. Since the approach relies on an internal data representation derived from the original LaTeX document, it offers users the flexibility to manage content efficiently and extract the necessary information with ease.
Cite as

Julio Beites Gonçalves, Maria João Varanda Pereira, and Pedro Rangel Henriques. CVTool: Automating Content Variants of CVs. In 14th Symposium on Languages, Applications and Technologies (SLATE 2025). Open Access Series in Informatics (OASIcs), Volume 135, pp. 5:1-5:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{goncalves_et_al:OASIcs.SLATE.2025.5,
  author =	{Gon\c{c}alves, Julio Beites and Pereira, Maria Jo\~{a}o Varanda and Henriques, Pedro Rangel},
  title =	{{CVTool: Automating Content Variants of CVs}},
  booktitle =	{14th Symposium on Languages, Applications and Technologies (SLATE 2025)},
  pages =	{5:1--5:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-387-4},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{135},
  editor =	{Baptista, Jorge and Barateiro, Jos\'{e}},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2025.5},
  URN =		{urn:nbn:de:0030-drops-236855},
  doi =		{10.4230/OASIcs.SLATE.2025.5},
  annote =	{Keywords: Latex CV, CV Versioning, DSL, CV Parsing, CV Templates}
}
Document
DOI: 10.4230/OASIcs.SLATE.2023.13
Characterization and Identification of Programming Languages

Authors: Júlio Alves, Alvaro Costa Neto, Maria João Varanda Pereira, and Pedro Rangel Henriques

Published in: OASIcs, Volume 113, 12th Symposium on Languages, Applications and Technologies (SLATE 2023)

Abstract
This paper presents and discusses a research work whose main goal is to identify which characteristics influence the recognition and identification, by a programmer, of a programming language, specifically analysing a program source code and its linguistic style. In other words, the study that is described aims at answering the following questions: which grammatical elements - including lexical, syntactic, and semantic details - contribute the most for the characterization of a language? How many structural elements of a language may be modified without losing its identity? The long term objective of such research is to acquire new insights on the factors that can lead language engineers to design new programming languages that reduce the cognitive load of both learners and programmers. To elaborate on that subject, the paper starts with a brief explanation of programming languages fundamentals. Then, a list of the main syntactic characteristics of a set of programming languages, chosen for the study, is presented. Those characteristics outcome from the analysis we carried on at first phase of our project. To go deeper on the investigation we decided to collect and analyze the opinion of other programmers. So, the design of a survey to address that task is discussed. The answers obtained from the application of the questionnaire are analysed to present an overall picture of programming languages characteristics and their relative influence to their identification from the programmers’ perspective.
Cite as

Júlio Alves, Alvaro Costa Neto, Maria João Varanda Pereira, and Pedro Rangel Henriques. Characterization and Identification of Programming Languages. In 12th Symposium on Languages, Applications and Technologies (SLATE 2023). Open Access Series in Informatics (OASIcs), Volume 113, pp. 13:1-13:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

Copy BibTex To Clipboard

@InProceedings{alves_et_al:OASIcs.SLATE.2023.13,
  author =	{Alves, J\'{u}lio and Costa Neto, Alvaro and Pereira, Maria Jo\~{a}o Varanda and Henriques, Pedro Rangel},
  title =	{{Characterization and Identification of Programming Languages}},
  booktitle =	{12th Symposium on Languages, Applications and Technologies (SLATE 2023)},
  pages =	{13:1--13:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-291-4},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{113},
  editor =	{Sim\~{o}es, Alberto and Ber\'{o}n, Mario Marcelo and Portela, Filipe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2023.13},
  URN =		{urn:nbn:de:0030-drops-185273},
  doi =		{10.4230/OASIcs.SLATE.2023.13},
  annote =	{Keywords: Programming Languages, Programming Language Characterization, Programming Language Design, Programming Language Identification}
}
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