Using Type Analysis for Dealing with Incompetent Mutants in Mutation Testing of Python Programs

Anna Derezińska, Anna Skupinska

Abstract

Mutation testing of dynamically typed languages, such as Python, raises problems in mutant introduction and evaluation of mutant execution results, which may provide to the application of incompetent mutants. Type analysis technique has been proposed to support mutation testing in Python. Based on the static information available in a program and on the type impact analysis, prospects of type errors are detected. The method has been developed in a type analyser, which has been combined with a mutation tool for Python programs. In mutation testing of programs in which many incompetent mutants would be created, the approach could lower the number of such mutants. The final contribution depends on the mutation operators and programming structures used in a mutated program. Preliminary experiments do not confirm the efficiency improvement in terms of time execution.

Download


Paper Citation


in Harvard Style

Derezińska A. and Skupinska A. (2021). Using Type Analysis for Dealing with Incompetent Mutants in Mutation Testing of Python Programs. In Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-508-1, pages 397-404. DOI: 10.5220/0010481103970404


in Bibtex Style

@conference{enase21,
author={Anna Derezińska and Anna Skupinska},
title={Using Type Analysis for Dealing with Incompetent Mutants in Mutation Testing of Python Programs},
booktitle={Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2021},
pages={397-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010481103970404},
isbn={978-989-758-508-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Using Type Analysis for Dealing with Incompetent Mutants in Mutation Testing of Python Programs
SN - 978-989-758-508-1
AU - Derezińska A.
AU - Skupinska A.
PY - 2021
SP - 397
EP - 404
DO - 10.5220/0010481103970404