Pynguin: Automated Unit Test Generation for Python

TL;DR

Pynguin is an extendable framework for automated unit test generation in Python, achieving high code coverage and designed for practical use and research adaptability.

Contribution

It introduces Pynguin, a novel, extendable tool for automated test generation in Python, addressing the gap for dynamically typed languages.

Findings

Generates regression tests with high code coverage

Designed for ease of use by practitioners

Extensible for research and customization

Abstract

Automated unit test generation is a well-known methodology aiming to reduce the developers' effort of writing tests manually. Prior research focused mainly on statically typed programming languages like Java. In practice, however, dynamically typed languages have received a huge gain in popularity over the last decade. This introduces the need for tools and research on test generation for these languages, too. We introduce Pynguin, an extendable test-generation framework for Python, which generates regression tests with high code coverage. Pynguin is designed to be easily usable by practitioners; it is also extensible to allow researchers to adapt it for their needs and to enable future research. We provide a demo of Pynguin at https://youtu.be/UiGrG25Vts0; further information, documentation, the tool, and its source code are available at https://www.pynguin.eu.