Computer Science
Saarang Agarwal, Pengyu Nie, M. Nagappan
2026.1.1IEEE SOFTWARE
Abstract
Large language models (LLMs) have revolutionized software engineering by automating critical tasks. We study five state-of-the-art LLMs, investigating their capabilities in generating unit test cases while focusing on how different inputs impact test correctness, bug detection capability, and code coverage.
Citation format
AGARWAL, Saarang; NIE, Pengyu; NAGAPPAN, M. What inputs drive effective large language model-based unit test generation? IEEE SOFTWARE, 2026, 43: 48–56.