A New Web Crawler for Gathering Source Code Solutions for Data Mining Purposes

Stankov, Emil and Jovanov, Mile and Pavlov, Vasja and Madevska-Bogdanova, Ana (2013) A New Web Crawler for Gathering Source Code Solutions for Data Mining Purposes. In: Proceedings of the Tenth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 113-116. ISBN 978-608-4699-01-9

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Abstract

Teaching programming in the modern educational environment imposes the need for fast assessment of large sets of programming solutions. The same applies to programming competitions, especially the international ones. Although the problem is typically solved by use of computer aided or automated assessment (CAA) systems that perform grading based on test cases, this dominant approach for source code assessment has its own serious drawbacks. In this paper we present our research in this field, with focus on one important preparatory step before conducting our experiments. We review our proposed model for semiautomatic student source code assessment, and we explain the need for gathering a variety of source code sets. Then, we discuss the problem we have encountered when trying to collect source code sets from a very famous web-based CAA system. Finally, we describe the creation process for a web crawler – as a proposed solution to this particular Problem.

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > Intelligent Systems
International Conference on Informatics and Information Technologies > Robotics
International Conference on Informatics and Information Technologies > Bioinformatics
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11096

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