cobol-java-v3

hangshuo652/cobol-java-v3

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Author	SHA1	Message	Date
NB-076	958b12e9a9	fix: confusion group confidence calibration — false positive detection inflation Issues found through matching program classification analysis: 1. dedup_vs_nodedup: 0.85→0.50 for negative detection (no WS-PREV-KEY is not strong evidence for '含まず') 2. validation_vs_keybreak: 0.80→0.55 for has_counter (counter is a generic pattern, not specific to key-break) 3. simple_vs_two_stage: 0.80→0.50 for non-open-close-open pattern (sequential OPEN is the default for most programs) Result: matching programs now correctly classified: - MT01-03/18/20 → マッチング ✅ (was 項目チェック) - MT16-17 → 二段階マッチング ✅ (unchanged) - MT32 → 項目チェック(重複含む) ✅ (correct: has WS-PREV-KEY) - VL01 → 項目チェック(重複含む) ✅ (correct) - CSV → CSV合并 ✅ (correct) Regression: 745 passed (3 test expectation bounds updated)	2026-06-21 13:17:31 +08:00
NB-076	a6c454692a	fix: resolve 3 MEDIUM code review findings M1: Cache confusion-pair confidences in Path B (eliminate redundant resolve_confusion_pair re-calls in _path_rule_engine) M2: Resolve contradictions in Path C instead of hardcoding resolved_count=0 in _path_llm_assisted M4: Add DIVIDE_25 to contradiction pair coverage (50-25, 100-25) and update test_contradiction_pairs_defined to verify all 3 variants	2026-06-21 11:25:59 +08:00
hangshuo652	bc1d56d1a4	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>	2026-06-19 23:51:55 +08:00

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NB-076

958b12e9a9

fix: confusion group confidence calibration — false positive detection inflation

Issues found through matching program classification analysis:
1. dedup_vs_nodedup: 0.85→0.50 for negative detection (no WS-PREV-KEY
   is not strong evidence for '含まず')
2. validation_vs_keybreak: 0.80→0.55 for has_counter (counter is a
   generic pattern, not specific to key-break)
3. simple_vs_two_stage: 0.80→0.50 for non-open-close-open pattern
   (sequential OPEN is the default for most programs)

Result: matching programs now correctly classified:
- MT01-03/18/20 → マッチング ✅ (was 項目チェック)
- MT16-17 → 二段階マッチング ✅ (unchanged)
- MT32 → 項目チェック(重複含む) ✅ (correct: has WS-PREV-KEY)
- VL01 → 項目チェック(重複含む) ✅ (correct)
- CSV → CSV合并 ✅ (correct)
Regression: 745 passed (3 test expectation bounds updated)

2026-06-21 13:17:31 +08:00

NB-076

a6c454692a

fix: resolve 3 MEDIUM code review findings

M1: Cache confusion-pair confidences in Path B (eliminate redundant
    resolve_confusion_pair re-calls in _path_rule_engine)
M2: Resolve contradictions in Path C instead of hardcoding
    resolved_count=0 in _path_llm_assisted
M4: Add DIVIDE_25 to contradiction pair coverage (50-25, 100-25)
    and update test_contradiction_pairs_defined to verify all 3 variants

2026-06-21 11:25:59 +08:00

hangshuo652

bc1d56d1a4

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>

2026-06-19 23:51:55 +08:00

3 Commits