2 papers
cs.SE2026
Improving LLM-Driven Test Generation by Learning from Mocking Information
Jamie Lee, Flynn Teh, Hengcheng Zhu +3
Large Language Models (LLMs) have recently shown strong potential for automated unit test generation. This has motivated us to investigate whether developer-defined test doubles (c…
cs.SE2024
Automatically Removing Unnecessary Stubbings from Test Suites
Mengzhen Li, Mattia Fazzini
Most modern software systems are characterized by a high number of components whose interactions can affect and complicate testing activities. During testing, developers can accoun…