Test Informed Learning with Examples
Repository with assignments using the Test Informed Learning with Examples (TILE) method to integrate testing into existing programming courses for free.
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Cite this work
Use the following BibTeX entry to cite this work:
@INPROCEEDINGS{DVMB2023,
author={Doorn, Niels and Vos, Tanja and Marín, Beatriz and Barendsen, Erik},
booktitle={2023 IEEE Conference on Software Testing, Verification and Validation (ICST)},
title={Set the right example when teaching programming: Test Informed Learning with Examples (TILE)},
year={2023},
volume={},
number={},
pages={269-280},
doi={10.1109/ICST57152.2023.00033}
}
Grammars, Parsers and Lark
Lark is a parsing toolkit using context free grammers for Python. It is built with a focus on ergonomics, performance and modularity. Lark can parse all context-free languages. To put it simply, it means that it is capable of parsing almost any programming language out there, and to some degree most natural languages too.
Lark provides:
- Advanced grammar language, based on EBNF
- Three parsing algorithms to choose from: Earley, LALR(1) and CYK
- Automatic tree construction, inferred from your grammar
- Fast unicode lexer with regexp support, and automatic line-counting
Lark can be installed using pip:
$ pip install lark --upgrade