Quantitative metrics for mutation testing

Document Type

Conference Proceeding

Publication Date

1-1-2019

Abstract

Mutant generation is the process of generating several variations of a base program by applying elementary modifications to its source code. Mutants are useful only to the extent that they are semantically distinct from the base program; the problem of identifying and weeding out equivalent mutants is an enduring issue in mutation testing. In this paper we take a quantitative approach to this problem where we do not focus on identifying equivalent mutants, but rather on gathering quantitative information about them.

Identifier

85073100017 (Scopus)

ISBN

[9789897583797]

Publication Title

Icsoft 2019 Proceedings of the 14th International Conference on Software Technologies

External Full Text Location

https://doi.org/10.5220/0007841800490059

First Page

49

Last Page

59

Grant

DGE1565478

Fund Ref

National Science Foundation

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