Estimating the number of equivalent mutants
Document Type
Conference Proceeding
Publication Date
4-1-2019
Abstract
Equivalent mutants are a constant source of aggravation in mutation testing because they distort mutation-based analysis; but the identification of equivalent mutants is known to be undecidable, in addition to being (in practice) tedious and error-prone. We argue that for most applications it is not necessary to individually identify equivalent mutants; rather it suffices to know/ estimate their number. In this paper, we discuss the specification and design of an automated tool that estimates the number of equivalent mutants generated from a base program by analyzing the source code of the program as well as the mutant generation policy.
Identifier
85068370420 (Scopus)
ISBN
[9781728108889]
Publication Title
Proceedings 2019 IEEE 12th International Conference on Software Testing Verification and Validation Workshops Icstw 2019
External Full Text Location
https://doi.org/10.1109/ICSTW.2019.00039
First Page
112
Last Page
121
Grant
DGE1565478
Fund Ref
National Science Foundation
Recommended Citation
Ayad, Amani; Marsit, Imen; Loh, Jimeng; Omri, Mohamed Nazih; and Mili, Ali, "Estimating the number of equivalent mutants" (2019). Faculty Publications. 7686.
https://digitalcommons.njit.edu/fac_pubs/7686
