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Bibliographic Details
Main Authors: Borek, Marta, Nowak, Robert
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.08650
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author Borek, Marta
Nowak, Robert
author_facet Borek, Marta
Nowak, Robert
contents Large language models have become a popular tool in software development, providing coding assistance. The proper measurement of the accuracy and reliability of the code produced by such tools is a challenge due to natural language prompts. We propose a simple pipeline that uses state-of-the-art implementation of classic and universal genres of algorithms and data structures. We focus on measuring the quality of TabbyML code assistant due to its open licence and the flexibility in the choice of the language model. Our results presented as cyclomatic complexity, Halstead's Bugs \& Effort and four text-based similarity matrices depict the usability of TabbyML in coding assistance tasks.
format Preprint
id arxiv_https___arxiv_org_abs_2504_08650
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Quality evaluation of Tabby coding assistant using real source code snippets
Borek, Marta
Nowak, Robert
Software Engineering
68
D.1
Large language models have become a popular tool in software development, providing coding assistance. The proper measurement of the accuracy and reliability of the code produced by such tools is a challenge due to natural language prompts. We propose a simple pipeline that uses state-of-the-art implementation of classic and universal genres of algorithms and data structures. We focus on measuring the quality of TabbyML code assistant due to its open licence and the flexibility in the choice of the language model. Our results presented as cyclomatic complexity, Halstead's Bugs \& Effort and four text-based similarity matrices depict the usability of TabbyML in coding assistance tasks.
title Quality evaluation of Tabby coding assistant using real source code snippets
topic Software Engineering
68
D.1
url https://arxiv.org/abs/2504.08650