FAiLGen: Calibrating LLM for Failing Test Generation with Monte Carlo Tree Search
Failing test generation is an important yet challenging task in software engineering. It involves searching a vast space to identify fault-triggering test inputs and the oracles that assert these faulty executions. Several approaches have been proposed for generating failing tests. Specifically, given a program-under-t...