Enhancing Mutation Testing Efficiency: A Comparative Study of Machine Learning Models for Equivalent Mutant Identification.

Saved in:
Bibliographic Details
Title: Enhancing Mutation Testing Efficiency: A Comparative Study of Machine Learning Models for Equivalent Mutant Identification.
Authors: Pugh, Terrence1, Mina Lopez, Carlos1, Peacock, Samuel1, Deng, Lin1, ldeng@towson.edu, Dehlinger, Josh1, Chakraborty, Suranjan1
Source: Software Testing: Verification & Reliability; May2025, Vol. 35 Issue 3, p1-28, 28p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
Description
ISSN:09600833
DOI:10.1002/stvr.70004