feat: Phase 2 complete — 13 Phases of COBOL type classification and test benchmark

P0.6: gcov infrastructure
P1: extract_structure output expansion (11 new feature fields)
P2: Confusion group rule engine (8 pairs + contradiction + backtrack)
P3: 4-factor confidence calculation + quality gate update
P4: 33+2 COBOL program type test samples (22 files, 7 categories)
P5: parametrized/ test data generation engine
P6: japanese_data.py lookup tables
P7-10: Type-specific test suites (~159 parametrized tests)
P11: Full classification pipeline (classify_program) + orchestrator integration
P12: Documentation (module-interfaces, test-plan v3.0, coverage-matrix)

Architecture decisions:
- classification_pipeline/ merged to hina/pipeline/
- parametrized/ as independent module
- japanese_data.py as root-level file
- hina/__all__ only exports classify_program()

Co-Authored-By: Claude <noreply@anthropic.com>

runners/cobol_runner.py

@@ -9,7 +9,7 @@ class CobolRunner:
         out = str(Path(src).parent / stem)
         cmd = ["cobc", "-x", f"-std={dialect}-strict", "-o", out, src]
         if gcov:
-            cmd = ["cobc", "-x", f"-std={dialect}-strict", "-fprofile-arcs", "-ftest-coverage", "-o", out, src]
+            cmd = ["cobc", "-x", f"-std={dialect}-strict", "--coverage", "-o", out, src]
         p = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
         return BuildResult(success=p.returncode == 0, artifact_path=out, log=p.stdout + p.stderr)