3 Search Results for "Coelho, João"

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}
}
Document
DOI: 10.4230/OASIcs.SLATE.2021.12
Semantic Search of Mobile Applications Using Word Embeddings

Authors: João Coelho, António Neto, Miguel Tavares, Carlos Coutinho, Ricardo Ribeiro, and Fernando Batista

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

Abstract
This paper proposes a set of approaches for the semantic search of mobile applications, based on their name and on the unstructured textual information contained in their description. The proposed approaches make use of word-level, character-level, and contextual word-embeddings that have been trained or fine-tuned using a dataset of about 500 thousand mobile apps, collected in the scope of this work. The proposed approaches have been evaluated using a public dataset that includes information about 43 thousand applications, and 56 manually annotated non-exact queries. Our results show that both character-level embeddings trained on our data, and fine-tuned RoBERTa models surpass the performance of the other existing retrieval strategies reported in the literature.
Cite as

João Coelho, António Neto, Miguel Tavares, Carlos Coutinho, Ricardo Ribeiro, and Fernando Batista. Semantic Search of Mobile Applications Using Word Embeddings. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 12:1-12:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{coelho_et_al:OASIcs.SLATE.2021.12,
  author =	{Coelho, Jo\~{a}o and Neto, Ant\'{o}nio and Tavares, Miguel and Coutinho, Carlos and Ribeiro, Ricardo and Batista, Fernando},
  title =	{{Semantic Search of Mobile Applications Using Word Embeddings}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{12:1--12:12},
  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.2021.12},
  URN =		{urn:nbn:de:0030-drops-144292},
  doi =		{10.4230/OASIcs.SLATE.2021.12},
  annote =	{Keywords: Semantic Search, Word Embeddings, Elasticsearch, Mobile Applications}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2020.12
An Arduino Simulator in Classroom - a Case Study

Authors: Paulo F. Gonçalves, João Sá, Anabela Coelho, and João Durães

Published in: OASIcs, Volume 81, First International Computer Programming Education Conference (ICPEC 2020)

Abstract
The Arduino Platform is increasingly being used as a central component in introductory programming courses of the curricula in middle, high school and even higher education. Given this scenario it is pertinent to understand how the cost-effectiveness, reliability and accessibility of this central component can be improved. We propose the use of an Arduino simulator to improve usability, cost, and class efficiency, allowing for improved and even new forms of use and course benefits. This paper presents and describes an Arduino simulator that we developed for education purposes, and a case study of its use in embedded programming courses from two high-schools. We compared its use against the usual use of real hardware platform analyzing usability, student workload and time efficiency. Our results, that we present and discuss, suggest that there are no apparent drawbacks in using the simulator, and some metrics such as basic exercise-solving efficiency and global effort showed an improvement.
Cite as

Paulo F. Gonçalves, João Sá, Anabela Coelho, and João Durães. An Arduino Simulator in Classroom - a Case Study. In First International Computer Programming Education Conference (ICPEC 2020). Open Access Series in Informatics (OASIcs), Volume 81, pp. 12:1-12:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{goncalves_et_al:OASIcs.ICPEC.2020.12,
  author =	{Gon\c{c}alves, Paulo F. and S\'{a}, Jo\~{a}o and Coelho, Anabela and Dur\~{a}es, Jo\~{a}o},
  title =	{{An Arduino Simulator in Classroom - a Case Study}},
  booktitle =	{First International Computer Programming Education Conference (ICPEC 2020)},
  pages =	{12:1--12:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-153-5},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{81},
  editor =	{Queir\'{o}s, Ricardo and Portela, Filipe and Pinto, M\'{a}rio and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2020.12},
  URN =		{urn:nbn:de:0030-drops-122996},
  doi =		{10.4230/OASIcs.ICPEC.2020.12},
  annote =	{Keywords: Arduino, Education, Simulator}
}
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