Quantifying the Effectiveness of Mutant Sets
Document Type
Conference Proceeding
Publication Date
1-1-2022
Abstract
To reduce the cost of mutation testing, researchers have sought to find minimal mutant sets. As an optimization problem, mutant set minimization is defined by two parameters: the objective function that we must optimize; and the constraint under which the optimization is carried out. Whereas the objective function of this optimization problem is clear (minimizing the cardinality of the mutant set), the constraint under which this optimization is attempted has not been clearly articulated in the literature. In this paper, we propose a formal definition of this constraint and discuss in what sense, and to what extent, published algorithms of mutant set minimization comply with this constraint.
Identifier
85152626607 (Scopus)
ISBN
[9798350319910]
Publication Title
Proceedings 2022 IEEE 22nd International Conference on Software Quality Reliability and Security Companion Qrs C 2022
External Full Text Location
https://doi.org/10.1109/QRS-C57518.2022.00050
First Page
288
Last Page
297
Grant
DGE1565478
Fund Ref
National Science Foundation
Recommended Citation
Alblwi, Samia; Ayad, Amani; Khaireddine, Besma; Marsit, Imen; and Mili, Ali, "Quantifying the Effectiveness of Mutant Sets" (2022). Faculty Publications. 3412.
https://digitalcommons.njit.edu/fac_pubs/3412
