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Documents authored by Cruz, Daniela da

Document
DOI: 10.4230/OASIcs.SLATE.2013.129
A Flexible Dynamic System for Automatic Grading of Programming Exercises

Authors: Daniela Fonte, Daniela da Cruz, Alda Lopes Gançarski, and Pedro Rangel Henriques

Published in: OASIcs, Volume 29, 2nd Symposium on Languages, Applications and Technologies (2013)

Abstract
The research on programs capable to automatically grade source code has been a subject of great interest to many researchers. Automatic Grading Systems (AGS) were born to support programming courses and gained popularity due to their ability to assess, evaluate, grade and manage the students' programming exercises, saving teachers from this manual task. This paper discusses semantic analysis techniques, and how they can be applied to improve the validation and assessment process of an AGS. We believe that the more flexible is the results assessment, the more precise is the source code grading, and better feedback is provided (improving the students learning process). In this paper, we introduce a generic model to obtain a more flexible and fair grading process, closer to a manual one. More specifically, an extension of the traditional Dynamic Analysis concept, by performing a comparison of the output produced by a program under assessment with the expected output at a semantic level. To implement our model, we propose a Flexible Dynamic Analyzer, able to perform a semantic-similarity analysis based on our Output Semantic-Similarity Language (OSSL) that, besides specifying the output structure, allows to define how to mark partially correct answers. Our proposal is compliant with the Learning Objects standard.
Cite as

Daniela Fonte, Daniela da Cruz, Alda Lopes Gançarski, and Pedro Rangel Henriques. A Flexible Dynamic System for Automatic Grading of Programming Exercises. In 2nd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 29, pp. 129-144, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@InProceedings{fonte_et_al:OASIcs.SLATE.2013.129,
  author =	{Fonte, Daniela and Cruz, Daniela da and Gan\c{c}arski, Alda Lopes and Henriques, Pedro Rangel},
  title =	{{A Flexible Dynamic System for Automatic Grading of Programming Exercises}},
  booktitle =	{2nd Symposium on Languages, Applications and Technologies},
  pages =	{129--144},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-52-1},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{29},
  editor =	{Leal, Jos\'{e} Paulo and Rocha, Ricardo 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.SLATE.2013.129},
  URN =		{urn:nbn:de:0030-drops-40343},
  doi =		{10.4230/OASIcs.SLATE.2013.129},
  annote =	{Keywords: Automatic Grading Systems, Domain Specific Languages, DSL, Dynamic Analysis}
}
Document
DOI: 10.4230/OASIcs.SLATE.2013.155
Choosing Grammars to Support Language Processing Courses

Authors: Maria João Varanda Pereira, Nuno Oliveira, Daniela da Cruz, and Pedro Rangel Henriques

Published in: OASIcs, Volume 29, 2nd Symposium on Languages, Applications and Technologies (2013)

Abstract
Teaching Language Processing courses is a hard task. The level of abstraction inherent to some of the basic concepts in the area and the technical skills required to implement efficient processors are responsible for the number of students that do not learn the subject and do not succeed to finish the course. In this paper we intend to list the main concepts involved in Language Processing subject, and identify the skills required to learn them. In this context, it is feasible to identify the difficulties that lead students to fail. This enables us to suggest some pragmatic ways to overcome those troubles. We will focus on the grammars suitable to motivate students and help them to learn easily the basic concepts. After identifying the characteristics of such grammars, some examples are presented to make concrete and clear our proposal. The contribution of this paper is the systematic way we approach the process of teaching Language Processing courses towards a successful learning activity.
Cite as

Maria João Varanda Pereira, Nuno Oliveira, Daniela da Cruz, and Pedro Rangel Henriques. Choosing Grammars to Support Language Processing Courses. In 2nd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 29, pp. 155-168, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

Copy BibTex To Clipboard

@InProceedings{pereira_et_al:OASIcs.SLATE.2013.155,
  author =	{Pereira, Maria Jo\~{a}o Varanda and Oliveira, Nuno and Cruz, Daniela da and Henriques, Pedro Rangel},
  title =	{{Choosing Grammars to Support Language Processing Courses}},
  booktitle =	{2nd Symposium on Languages, Applications and Technologies},
  pages =	{155--168},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-52-1},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{29},
  editor =	{Leal, Jos\'{e} Paulo and Rocha, Ricardo 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.SLATE.2013.155},
  URN =		{urn:nbn:de:0030-drops-40369},
  doi =		{10.4230/OASIcs.SLATE.2013.155},
  annote =	{Keywords: Teaching Language Processing, Domain Specific Languages, Grammars}
}
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