We present a coverage-driven framework that optimizes RISC-V smoke regressions by decomposing VCS coverage into feature-specific subsets via tag-based pattern matching, ranking tests via greedy set cover, and flagging runtime outliers. Applied to a 978-test production suite drawn from a larger regression pool of 10,000 tests, the framework cut smoke tests by 40% and peak test runtime by 63%, while improving coverage on key architectural features-including +64% (SMRNMI), +53% (timer), and +25% (counters)-with modest regressions on a few features (median <3%), all within project thresholds.