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Pyttern: a Python-Based Program Query Language

Authors: Liénard, Julien; Mens, Kim; Nijssen, Siegfried; BENEVOL24;

Pyttern: a Python-Based Program Query Language

Abstract

Despite an abundance of tools available for expressing and detecting structural patterns in program source code, their steep learning curve often creates a barrier for non-expert developers. To address this issue, we present Pyttern, a program query language for Python that is easy to learn and use while maintaining sufficient expressiveness for defining and detecting small structural coding idioms. Pyttern leverages a combination of Python syntax and regex-like wildcards to identify coding patterns. To evaluate the strengths and limitations of our language prototype, we conducted a study involving 30 junior developers. Participants were asked to compare our language with established program query languages by expressing and detecting small coding idioms or flaws. Based on the feedback gathered from this study, we highlight Pyttern's strengths and areas for improvement.

Related Organizations
Keywords

Pattern Matching, Static Program Analysis, Software Tools, Query Language, Programming Language, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green