Unifying test-inadequacy diagnosis with targeted test synthesis

Develop a unified framework that integrates test-inadequacy diagnosis with targeted test synthesis in a single end-to-end system to detect under-constrained behaviors in regression test suites and generate focused regression tests that close those gaps.

Background

Benchmark evaluations commonly accept patches that pass existing regression tests, but these suites often under-constrain intended behaviors, allowing semantically incorrect patches to be accepted. Existing countermeasures either rely on manual analysis, focus on distinguishing AI- from human-written code rather than strengthening tests, or treat gap detection and test generation as separate steps.

The authors highlight that without a diagnostic phase, generated tests can redundantly cover already-tested behavior, leaving critical gaps unaddressed. They explicitly identify the unification of test-inadequacy diagnosis and targeted test generation within a single framework as an open challenge motivating their work.

References

Unifying test-inadequacy diagnosis with targeted test synthesis in a single framework remains an open challenge.