loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Imen Marsit 1 ; Mohamed Nazih Omri 1 and Ali Mili 2

Affiliations: 1 University of Sousse, Tunisia ; 2 New Jersey Institute of Technology, United States

Keyword(s): Mutation Testing, Mutant Survival Rate, Semantic Metrics.

Related Ontology Subjects/Areas/Topics: Software Engineering ; Software Engineering Methods and Techniques ; Software Metrics ; Software Project Management ; Software Testing and Maintenance

Abstract: Mutation testing is often used to assess the quality of a test suite by analyzing its ability to distinguish between a base program and its mutants. The main threat to the validity/ reliability of this assessment approach is that many mutants may be syntactically distinct from the base, yet functionally equivalent to it. The problem of identifying equivalent mutants and excluding them from consideration is the focus of much recent research. In this paper we argue that it is not necessary to identify individual equivalent mutants and count them; rather it is sufficient to estimate their number. To do so, we consider the question: what makes a program prone to produce equivalent mutants? Our answer is: redundancy does. Consequently, we introduce a number of program metrics that capture various dimensions of redundancy in a program, and show empirically that they are statistically linked to the rate of equivalent mutants.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.133.141.6

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Marsit, I.; Omri, M. and Mili, A. (2017). Estimating the Survival Rate of Mutants. In Proceedings of the 12th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-262-2; ISSN 2184-2833, SciTePress, pages 208-213. DOI: 10.5220/0006392802080213

@conference{icsoft17,
author={Imen Marsit. and Mohamed Nazih Omri. and Ali Mili.},
title={Estimating the Survival Rate of Mutants},
booktitle={Proceedings of the 12th International Conference on Software Technologies - ICSOFT},
year={2017},
pages={208-213},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006392802080213},
isbn={978-989-758-262-2},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Software Technologies - ICSOFT
TI - Estimating the Survival Rate of Mutants
SN - 978-989-758-262-2
IS - 2184-2833
AU - Marsit, I.
AU - Omri, M.
AU - Mili, A.
PY - 2017
SP - 208
EP - 213
DO - 10.5220/0006392802080213
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic