Last updated on Monday, October 06, 2025
@inproceedings{Parsai2016EASE,
author = {Ali Parsai and Alessandro Murgia and Serge Demeyer},
booktitle = {Proceedings {EASE} 2016 (the 20th International
Conference on Evaluation and Assessment in Software
Engineering)},
note = {Acceptance ratio: 20/85 = 23.5\%},
pages = {11:1 -- 11:10},
publisher = {ACM},
title = {Evaluating random mutant selection at class-level in
projects with non-adequate test suites},
year = {2016},
abstract = {Mutation testing is a standard technique to evaluate
the quality of a test suite. Due to its
computationally intensive nature, many approaches
have been proposed to make this technique feasible in
real case scenarios. Among these approaches, uniform
random mutant selection has been demonstrated to be
simple and promising. However, works on this area
analyze mutant samples at project level mainly on
projects with adequate test suites. In this paper, we
fill this lack of empirical validation by analyzing
random mutant selection at class level on projects
with non-adequate test suites. First, we show that
uniform random mutant selection underachieves the
expected results. Then, we propose a new approach
named weighted random mutant selection which
generates more representative mutant samples.
Finally, we show that representative mutant samples
are larger for projects with high test adequacy.},
annote = {internationalconference},
top = {A in CORE2013},
doi = {10.1145/2915970.2915992},
}