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Automating XML parser generation for specific data operations

Andringa, Lars (2022) Automating XML parser generation for specific data operations. Bachelor's Thesis, Computing Science.

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Abstract

This Bachelor’s project researched whether the generation of XML parsers could be automated if the data operation performed by the parsers were the same for all formats. It found that this is a favourable approach if the amount of parsers that need to be generated was sufficiently high. A proof-of-concept parser generator was developed to research this approach, which demonstrated a high level of accuracy with acceptable levels of performance. Besides generating new tools for the parser generator, other existing tools used during development were analysed and upgraded.

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Mohsen, F.F.M. and Perez Parra, J.A.
Degree programme: Computing Science
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 14 Jul 2022 11:58
Last Modified: 14 Jul 2022 11:58
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/27665

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