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Regression testing is crucial but can be extremely costly. Regression Test Selection (RTS) aims to reduce regression testing cost by only selecting and running the tests that may be affected by code changes. To date, various RTS techniques analyzing at different granularities (e.g., at the basic-block, method, and file levels) have been proposed. RTS techniques working on finer granularities may be more precise in selecting tests, while techniques working on coarser granularities may have lower overhead. According to a recent study, RTS at the file level (FRTS) can have less overall testing time compared with a finer grained technique at the method level, and represents state-of-the-art RTS. In this paper, we present the first hybrid RTS approach, HyRTS, that analyzes at multiple granularities to combine the strengths of traditional RTS techniques at different granularities. We implemented the basic HyRTS …