pith:LOONUOBW
AgentModernize: Preserving Business Logic in Legacy Modernization with Multi-Agent LLMs and Behavioral Specification Graphs
A multi-agent framework with an explicit behavioral graph preserves business logic during legacy modernization where direct LLM translation loses it.
arxiv:2605.17535 v1 · 2026-05-17 · cs.SE
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Claims
Full AgentModernize with feedback was the only configuration with non-zero mean BER under every backbone. SP-LLM and CoT-LLM scored 0.0% on every scenario, on every backbone. The BSG captures 91.2% of gold-standard rules, confirming that the bottleneck is code generation, not extraction.
The gold-standard tests used in the LegacyModernize-8 evaluation comprehensively cover all implicit business logic, edge cases, and cross-module constraints present in the original legacy systems (evaluation section).
A multi-agent LLM framework with Behavioral Specification Graphs preserves business logic in legacy modernization, achieving non-zero mean BER on all tested scenarios where baseline LLM approaches scored zero.
References
Receipt and verification
| First computed | 2026-05-20T00:04:44.496925Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b9cda3836eb30ee6fb323f5914df50b057d0b1702bb2509250717572918082a
Aliases
· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/LOONUOBW5MYO435TEP2ZCTPVBM \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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