migration-scoring

name	migration-scoring
description	Evaluate code migration quality with coverage, correctness, and style scoring. Generates executive reports with actionable recommendations.
license	MIT
compatibility	Requires completed migration with source and target code, Python 3.13 with uv
triggers	["migration scoring","migration quality","migration evaluation","score migration"]

Comprehensive quality evaluation for code migration projects.

Overview

This plugin evaluates completed migrations through multiple lenses:

1. Mapping — Document source-to-target file relationships
2. Quality Scoring — Measure coverage and correctness
3. Style Scoring — Evaluate code quality and conventions
4. Reporting — Generate executive summary with recommendations

Prerequisites

• Completed migration with both source and target code present
• Python 3.13 with uv
• LLM API key (Anthropic or OpenAI)
• Optional: Custom style rubric file

Quick Start

export LLM_API_KEY="your-api-key"
export LLM_MODEL="anthropic/claude-3-5-sonnet-20241022"

uv run python -m lc_sdk_examples.migration_scoring \
  --src-path /path/to/migration/project \
  --rubric-path /path/to/style_rubric.txt

Workflow Phases

Phase 1: Migration Mapping

See ../migration-mapping/SKILL.md

Creates a source→target file mapping:

• Identifies which target files implement each source file
• Supports many-to-many relationships
• Flags unmigrated source files

Output: migration_mapping.json

{
  "CALC001.cbl": ["InvoiceCalculator.java", "TaxCalculator.java"],
  "CUST002.cbl": ["CustomerService.java"]
}

Phase 2: Quality Scoring

See ../score-quality/SKILL.md

Scores each source file on:

• Coverage (1-5): How much functionality was migrated
• Correctness (1-5): How accurately behavior was preserved

Output: migration_score.json

{
  "CALC001.cbl": {
    "coverage": 4,
    "correctness": 5,
    "justification": "All calculation logic migrated..."
  }
}

Phase 3: Style Scoring

See ../score-style/SKILL.md

Evaluates target code against style guidelines:

• Naming conventions
• Code organization
• Error handling
• Documentation
• Idiomaticity

Output: style_score.json

Phase 4: Executive Report

See ../migration-report/SKILL.md

Generates a comprehensive report:

• Overall health assessment
• Score statistics and distribution
• Risk categorization (Green/Yellow/Red)
• Prioritized recommendations

Output: final_report.md

Output Structure

your-project/
├── .lc-sdk/
│   ├── migration_mapping.json
│   ├── migration_score.json
│   ├── style_score.json
│   └── final_report.md

Scoring Criteria

See ../score-quality/references/scoring-criteria.md for the 1-5 scoring scales.

Risk Categories

• Green: All scores ≥ 4
• Yellow: Any score 3-4
• Red: Any score < 3