Using Semantic Metrics to Predict Mutation Equivalence

Document Type

Conference Proceeding

Publication Date

1-1-2019

Abstract

Equivalent mutants are a major nuisance in mutation testing because they introduce a significant amount of bias. But weeding them out is difficult because it requires a detailed analysis of the source code of the base program and the mutant. In this paper we argue that for most applications, it is not necessary to identify equivalent mutants individually; rather it suffices to estimate their number. Also, we explore how we can estimate their number by a cursory/automatable analysis of the base program and the mutant generation policy.

Identifier

85071673364 (Scopus)

ISBN

[9783030291563]

Publication Title

Communications in Computer and Information Science

External Full Text Location

https://doi.org/10.1007/978-3-030-29157-0_1

e-ISSN

18650937

ISSN

18650929

First Page

3

Last Page

27

Volume

1077

Grant

DGE 1565478

Fund Ref

National Science Foundation

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