# Core Modules Architecture Design
## Neuro-Symbolic Representation for Jakarta Migration MCP
This document defines the three core modules of the Jakarta Migration MCP using neuro-symbolic representations, combining symbolic reasoning (rule-based logic) with neural network capabilities for intelligent decision-making.
---
## Table of Contents
1. [Overview](#overview)
2. [Module 1: Dependency Analysis Module](#module-1-dependency-analysis-module)
3. [Module 2: Code Refactoring Module](#module-2-code-refactoring-module)
4. [Module 3: Runtime Verification Module](#module-3-runtime-verification-module)
5. [Neuro-Symbolic Integration](#neuro-symbolic-integration)
6. [Module Interactions](#module-interactions)
7. [Implementation Strategy](#implementation-strategy)
---
## Overview
The Jakarta Migration MCP consists of three interconnected modules that work together to provide a comprehensive, intelligent migration solution:
```
┌─────────────────────────────────────────────────────────────┐
│ Jakarta Migration MCP │
├─────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────────┐ ┌──────────────────┐ ┌─────────────┐│
│ │ Module 1: │ │ Module 2: │ │ Module 3: ││
│ │ Dependency │→ │ Code │→ │ Runtime ││
│ │ Analysis │ │ Refactoring │ │ Verification│
│ └──────────────────┘ └──────────────────┘ └─────────────┘│
│ │ │ │ │
│ └──────────────────────┴──────────────────────┘ │
│ │ │
│ Neuro-Symbolic │
│ Decision Engine │
└─────────────────────────────────────────────────────────────────┘
```
### Core Principles
1. **Symbolic Layer**: Rule-based logic using OpenRewrite recipes, dependency graphs, and migration patterns
2. **Neural Layer**: ML models for predicting compatibility, optimal refactoring order, and risk assessment
3. **Hybrid Reasoning**: Combines deterministic transformations with intelligent decision-making
---
## Module 1: Dependency Analysis Module
### Purpose
Analyzes Java project dependencies (Maven/Gradle) to identify JARs compatible with `javax` or `jakarta` namespaces, building a comprehensive dependency graph and compatibility matrix.
### Neuro-Symbolic Architecture
```
┌──────────────────────────────────────────────────────────────┐
│ Dependency Analysis Module │
├──────────────────────────────────────────────────────────────┤
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Symbolic Layer (Rule-Based) │ │
│ ├────────────────────────────────────────────────────────┤ │
│ │ • Maven/Gradle Parser │ │
│ │ • Dependency Graph Builder │ │
│ │ • Namespace Classifier (javax/jakarta) │ │
│ │ • Compatibility Rules Database │ │
│ │ • Transitive Dependency Analyzer │ │
│ └────────────────────────────────────────────────────────┘ │
│ ↕ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Neural Layer (ML-Based) │ │
│ ├────────────────────────────────────────────────────────┤ │
│ │ • Compatibility Predictor │ │
│ │ • Risk Assessment Model │ │
│ │ • Version Recommendation Engine │ │
│ │ • Blocker Detection Classifier │ │
│ └────────────────────────────────────────────────────────┘ │
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Hybrid Reasoning Engine │ │
│ ├────────────────────────────────────────────────────────┤ │
│ │ • Validates ML predictions with symbolic rules │ │
│ │ • Explains decisions using rule traces │ │
│ │ • Learns from validation feedback │ │
│ └────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
```
### Symbolic Components
#### 1. Dependency Graph Builder
```java
// Symbolic Representation
DependencyGraph = {
nodes: Set<Artifact>,
edges: Set<Dependency>,
properties: {
namespace: javax | jakarta | mixed | unknown,
version: Version,
transitive: Boolean,
scope: compile | runtime | test | provided
}
}
```
#### 2. Namespace Classifier
```java
// Symbolic Rules
IF artifact.packages.contains("javax.*")
AND NOT artifact.packages.contains("jakarta.*")
THEN namespace = javax
IF artifact.packages.contains("jakarta.*")
AND NOT artifact.packages.contains("javax.*")
THEN namespace = jakarta
IF artifact.packages.contains("javax.*")
AND artifact.packages.contains("jakarta.*")
THEN namespace = mixed // Transitional artifact
IF artifact.packages.contains("javax.*")
AND artifact.version >= jakarta_migration_version
THEN namespace = jakarta // Post-migration version
```
#### 3. Compatibility Matrix
```java
// Symbolic Knowledge Base
CompatibilityMatrix = {
"javax.servlet:javax.servlet-api" → {
jakarta_equivalent: "jakarta.servlet:jakarta.servlet-api",
min_version: "6.0.0",
migration_path: "direct_replacement",
breaking_changes: ["package_rename"]
},
"org.springframework:spring-web" → {
jakarta_equivalent: "org.springframework:spring-web",
min_version: "6.0.0", // Spring 6+ uses Jakarta
migration_path: "version_upgrade",
breaking_changes: ["namespace_change"]
}
}
```
### Neural Components
#### 1. Compatibility Predictor
- **Input**: Artifact coordinates, version, dependency graph context
- **Output**: Probability of Jakarta compatibility, confidence score
- **Training Data**: Historical migration data, Maven Central metadata
#### 2. Risk Assessment Model
- **Input**: Dependency graph, namespace distribution, transitive depth
- **Output**: Risk score (0-1), risk factors, mitigation suggestions
- **Features**:
- Number of javax dependencies
- Depth of transitive dependencies
- Known blocker patterns
- Version age
#### 3. Blocker Detection Classifier
- **Input**: Artifact metadata, bytecode analysis, community reports
- **Output**: Binary classification (blocker/non-blocker), explanation
- **Features**:
- No Jakarta equivalent exists
- Incompatible transitive dependencies
- Binary incompatibilities detected
### Module Interface
```java
public interface DependencyAnalysisModule {
/**
* Analyzes project dependencies and builds compatibility report
*/
DependencyAnalysisReport analyzeProject(String projectPath);
/**
* Identifies all javax/jakarta dependencies in dependency tree
*/
NamespaceCompatibilityMap identifyNamespaces(DependencyGraph graph);
/**
* Detects blockers that prevent Jakarta migration
*/
List<Blocker> detectBlockers(DependencyGraph graph);
/**
* Recommends Jakarta-compatible versions for dependencies
*/
List<VersionRecommendation> recommendVersions(
List<Artifact> artifacts
);
/**
* Analyzes transitive dependencies for namespace conflicts
*/
TransitiveConflictReport analyzeTransitiveConflicts(
DependencyGraph graph
);
}
```
### Data Structures
```java
public record DependencyAnalysisReport(
DependencyGraph dependencyGraph,
NamespaceCompatibilityMap namespaceMap,
List<Blocker> blockers,
List<VersionRecommendation> recommendations,
RiskAssessment riskAssessment,
MigrationReadinessScore readinessScore
) {}
public record Blocker(
Artifact artifact,
BlockerType type, // NO_JAKARTA_EQUIVALENT, TRANSITIVE_CONFLICT, BINARY_INCOMPATIBLE
String reason,
List<String> mitigationStrategies,
double confidence
) {}
public record VersionRecommendation(
Artifact currentArtifact,
Artifact recommendedArtifact,
String migrationPath,
List<String> breakingChanges,
double compatibilityScore
) {}
```
---
## Module 2: Code Refactoring Module
### Purpose
Systematically refactors code from `javax` to `jakarta` using OpenRewrite rules, with intelligent ordering, progress tracking, and incremental application.
### Neuro-Symbolic Architecture
```
┌──────────────────────────────────────────────────────────────┐
│ Code Refactoring Module │
├──────────────────────────────────────────────────────────────┤
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Symbolic Layer (OpenRewrite) │ │
│ ├────────────────────────────────────────────────────────┤ │
│ │ • AST Parser (JavaParser) │ │
│ │ • OpenRewrite Recipes │ │
│ │ • Refactoring Rules Engine │ │
│ │ • Change Tracking System │ │
│ │ • Dependency Graph Analyzer │ │
│ └────────────────────────────────────────────────────────┘ │
│ ↕ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Neural Layer (ML-Based) │ │
│ ├────────────────────────────────────────────────────────┤ │
│ │ • Optimal Refactoring Order Predictor │ │
│ │ • Risk Prediction Model │ │
│ │ • Change Impact Analyzer │ │
│ │ • Batch Size Optimizer │ │
│ └────────────────────────────────────────────────────────┘ │
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Hybrid Reasoning Engine │ │
│ ├────────────────────────────────────────────────────────┤ │
│ │ • Selects optimal refactoring sequence │ │
│ │ • Validates changes before application │ │
│ │ • Adapts batch sizes based on complexity │ │
│ │ • Learns from refactoring outcomes │ │
│ └────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
```
### Symbolic Components
#### 1. Refactoring Rules (OpenRewrite Recipes)
```java
// Symbolic Recipe Definitions
Recipes = {
"AddJakartaNamespace": {
pattern: "javax.* → jakarta.*",
scope: "imports, annotations, type references",
safety: "high",
reversibility: "yes"
},
"UpdatePersistenceXml": {
pattern: "xmlns:persistence='http://java.sun.com/xml/ns/persistence' → xmlns:persistence='https://jakarta.ee/xml/ns/persistence'",
scope: "XML configuration files",
safety: "high",
reversibility: "yes"
},
"UpdateWebXml": {
pattern: "http://java.sun.com/xml/ns/javaee → https://jakarta.ee/xml/ns/jakartaee",
scope: "web.xml, faces-config.xml",
safety: "medium",
reversibility: "yes"
}
}
```
#### 2. Refactoring Order Rules
```java
// Symbolic Ordering Logic
RefactoringOrder = {
phase1: [
"Update build files (pom.xml, build.gradle)",
"Update dependency coordinates"
],
phase2: [
"Refactor core domain classes (low dependencies)",
"Refactor utility classes",
"Refactor service interfaces"
],
phase3: [
"Refactor service implementations",
"Refactor controllers",
"Refactor configuration classes"
],
phase4: [
"Refactor XML configuration files",
"Refactor test classes",
"Refactor integration tests"
]
}
// Dependency-based ordering
IF class.dependencyCount < threshold
THEN priority = high
ELSE priority = low
IF class.isLeafNode(dependencyGraph)
THEN refactor_first = true
```
#### 3. Progress Tracking System
```java
// Symbolic State Machine
MigrationState = {
NOT_STARTED,
IN_PROGRESS,
PHASE_1_COMPLETE,
PHASE_2_COMPLETE,
PHASE_3_COMPLETE,
PHASE_4_COMPLETE,
VERIFIED,
COMPLETE
}
ProgressTracker = {
filesRefactored: Set<FilePath>,
filesPending: Set<FilePath>,
filesFailed: Set<FilePath>,
currentPhase: MigrationPhase,
statistics: {
totalFiles: Int,
refactoredFiles: Int,
pendingFiles: Int,
failedFiles: Int,
progressPercentage: Double
}
}
```
### Neural Components
#### 1. Optimal Refactoring Order Predictor
- **Input**: Codebase structure, dependency graph, file complexity metrics
- **Output**: Optimal refactoring sequence, estimated time per file
- **Features**:
- Cyclomatic complexity
- Dependency count
- File size
- Test coverage
- Historical refactoring success rates
#### 2. Risk Prediction Model
- **Input**: File content, refactoring recipe, context
- **Output**: Risk score, potential issues, confidence
- **Features**:
- Pattern complexity
- Dynamic loading patterns
- Reflection usage
- String-based class references
#### 3. Batch Size Optimizer
- **Input**: Project size, complexity distribution, available resources
- **Output**: Optimal batch size for incremental refactoring
- **Goal**: Balance between progress speed and error recovery
### Module Interface
```java
public interface CodeRefactoringModule {
/**
* Creates a migration plan with optimal refactoring order
*/
MigrationPlan createMigrationPlan(
String projectPath,
DependencyAnalysisReport dependencyReport
);
/**
* Refactors a batch of files using OpenRewrite recipes
*/
RefactoringResult refactorBatch(
List<FilePath> files,
List<Recipe> recipes,
RefactoringOptions options
);
/**
* Tracks migration progress across the codebase
*/
MigrationProgress getProgress(String projectPath);
/**
* Validates refactored code for correctness
*/
ValidationResult validateRefactoring(
FilePath file,
RefactoringChanges changes
);
/**
* Rolls back refactoring changes if needed
*/
RollbackResult rollback(
FilePath file,
String checkpointId
);
}
```
### Data Structures
```java
public record MigrationPlan(
List<RefactoringPhase> phases,
List<FilePath> fileSequence,
EstimatedDuration estimatedDuration,
RiskAssessment overallRisk,
List<String> prerequisites
) {}
public record RefactoringPhase(
int phaseNumber,
String description,
List<FilePath> files,
List<Recipe> recipes,
List<String> dependencies, // Prerequisites
EstimatedDuration duration
) {}
public record RefactoringResult(
List<FilePath> refactoredFiles,
List<RefactoringFailure> failures,
Statistics statistics,
String checkpointId,
boolean canRollback
) {}
public record MigrationProgress(
MigrationState currentState,
int currentPhase,
ProgressStatistics statistics,
List<Checkpoint> checkpoints,
LocalDateTime lastUpdate
) {}
```
### Refactoring Strategy
#### Incremental Approach
1. **Phase 1: Foundation** (Low Risk)
- Update build files
- Update dependency coordinates
- Validate build still works
2. **Phase 2: Core Classes** (Low Dependencies)
- Refactor domain models
- Refactor utility classes
- Run unit tests after each batch
3. **Phase 3: Service Layer** (Medium Dependencies)
- Refactor service interfaces
- Refactor service implementations
- Run integration tests
4. **Phase 4: Configuration & Tests** (High Risk)
- Refactor XML configurations
- Refactor test classes
- Full system verification
#### Smart Batching
```java
// Symbolic Batching Logic
IF file.complexity < low_threshold
THEN batch_size = large
ELSE IF file.complexity < medium_threshold
THEN batch_size = medium
ELSE batch_size = small
IF phase.risk_level == high
THEN batch_size = reduce(batch_size, 0.5)
```
---
## Module 3: Runtime Verification Module
### Purpose
Executes JAR files as separate processes and monitors for runtime class resolution issues, particularly those caused by javax/jakarta namespace problems. Provides alternative verification methods when process isolation is not feasible.
### Neuro-Symbolic Architecture
```
┌──────────────────────────────────────────────────────────────┐
│ Runtime Verification Module │
├──────────────────────────────────────────────────────────────┤
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Symbolic Layer (Rule-Based) │ │
│ ├────────────────────────────────────────────────────────┤ │
│ │ • Process Manager (JAR execution) │ │
│ │ • Log Parser (error pattern matching) │ │
│ │ • Class Loader Monitor │ │
│ │ • Stack Trace Analyzer │ │
│ │ • Health Check Validator │ │
│ └────────────────────────────────────────────────────────┘ │
│ ↕ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Neural Layer (ML-Based) │ │
│ ├────────────────────────────────────────────────────────┤ │
│ │ • Error Classification Model │ │
│ │ • Root Cause Predictor │ │
│ │ • Failure Pattern Recognizer │ │
│ │ • Recovery Suggestion Generator │ │
│ └────────────────────────────────────────────────────────┘ │
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Hybrid Reasoning Engine │ │
│ ├────────────────────────────────────────────────────────┤ │
│ │ • Correlates errors with migration changes │ │
│ │ • Validates ML predictions with symbolic rules │ │
│ │ • Generates actionable remediation steps │ │
│ └────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
```
### Symbolic Components
#### 1. Error Pattern Matching
```java
// Symbolic Error Patterns
ErrorPatterns = {
ClassNotFoundException: {
pattern: "java.lang.ClassNotFoundException: javax.*",
category: "namespace_migration",
severity: "high",
likely_cause: "javax class not migrated to jakarta",
remediation: "Update import/package reference"
},
NoClassDefFoundError: {
pattern: "java.lang.NoClassDefFoundError: javax.*",
category: "classpath_issue",
severity: "high",
likely_cause: "Missing Jakarta dependency",
remediation: "Add Jakarta-compatible dependency"
},
LinkageError: {
pattern: "java.lang.LinkageError.*javax.*",
category: "binary_incompatibility",
severity: "critical",
likely_cause: "Mixed javax/jakarta in classpath",
remediation: "Remove javax dependencies"
}
}
```
#### 2. Process Execution Rules
```java
// Symbolic Execution Strategy
ExecutionStrategy = {
isolation: "separate_process",
timeout: Duration,
resource_limits: {
memory: "2GB",
cpu: "50%"
},
monitoring: {
stdout: true,
stderr: true,
exit_code: true,
heap_dumps: on_error
}
}
IF jar_requires_spring_boot
THEN execution_mode = "spring_boot_runner"
ELSE execution_mode = "standard_java"
```
#### 3. Verification Methods
```java
// Symbolic Verification Approaches
VerificationMethods = {
PROCESS_EXECUTION: {
description: "Run JAR in isolated process",
pros: ["real_runtime", "catches_all_issues"],
cons: ["requires_executable", "slower"],
when_to_use: "primary_method"
},
STATIC_ANALYSIS: {
description: "Analyze bytecode and classpath",
pros: ["fast", "no_execution_needed"],
cons: ["may_miss_runtime_issues"],
when_to_use: "fallback_or_complement"
},
CLASS_LOADER_INSTRUMENTATION: {
description: "Instrument class loading",
pros: ["detailed_tracking", "no_process_needed"],
cons: ["requires_agent", "complexity"],
when_to_use: "advanced_verification"
},
TEST_EXECUTION: {
description: "Run test suite",
pros: ["validates_functionality", "existing_infrastructure"],
cons: ["requires_tests", "may_not_cover_all"],
when_to_use: "complementary_verification"
}
}
```
### Neural Components
#### 1. Error Classification Model
- **Input**: Stack trace, error message, log context
- **Output**: Error category, confidence, related migration issues
- **Categories**: namespace_migration, classpath_issue, binary_incompatibility, configuration_error
#### 2. Root Cause Predictor
- **Input**: Error details, migration history, dependency graph
- **Output**: Most likely root cause, contributing factors, confidence
- **Features**:
- Error type
- Class name patterns
- Migration phase
- Dependency conflicts
#### 3. Failure Pattern Recognizer
- **Input**: Historical failures, current error
- **Output**: Similar past failures, successful resolutions
- **Purpose**: Learn from past migrations
### Module Interface
```java
public interface RuntimeVerificationModule {
/**
* Executes JAR in isolated process and monitors for issues
*/
VerificationResult verifyRuntime(
String jarPath,
VerificationOptions options
);
/**
* Analyzes runtime errors for Jakarta migration issues
*/
ErrorAnalysis analyzeErrors(
List<RuntimeError> errors,
MigrationContext context
);
/**
* Performs static analysis as alternative to runtime execution
*/
StaticAnalysisResult performStaticAnalysis(
String projectPath,
DependencyGraph dependencyGraph
);
/**
* Instruments class loading to detect resolution issues
*/
ClassLoaderAnalysisResult instrumentClassLoading(
String jarPath,
InstrumentationOptions options
);
/**
* Validates application health after migration
*/
HealthCheckResult performHealthCheck(
String applicationUrl,
HealthCheckOptions options
);
}
```
### Data Structures
```java
public record VerificationResult(
VerificationStatus status,
List<RuntimeError> errors,
List<Warning> warnings,
ExecutionMetrics metrics,
ErrorAnalysis analysis,
List<RemediationStep> remediationSteps
) {}
public record RuntimeError(
ErrorType type,
String message,
StackTrace stackTrace,
String className,
String methodName,
LocalDateTime timestamp,
double confidence
) {}
public record ErrorAnalysis(
ErrorCategory category,
String rootCause,
List<String> contributingFactors,
List<SimilarPastFailure> similarFailures,
List<RemediationStep> suggestedFixes,
double confidence
) {}
public enum VerificationStatus {
SUCCESS,
FAILED,
PARTIAL,
TIMEOUT,
UNKNOWN
}
public enum ErrorCategory {
NAMESPACE_MIGRATION,
CLASSPATH_ISSUE,
BINARY_INCOMPATIBILITY,
CONFIGURATION_ERROR,
UNKNOWN
}
```
### Alternative Verification Approaches
#### 1. Static Bytecode Analysis
```java
// Symbolic Bytecode Analysis
BytecodeAnalyzer = {
scan_jars: true,
check_class_references: true,
detect_namespace_usage: true,
identify_transitive_dependencies: true
}
IF class_reference.contains("javax.*")
AND classpath.contains("jakarta.*")
THEN potential_conflict = true
```
#### 2. Class Loader Instrumentation
```java
// Using Java Agent for class loading monitoring
ClassLoaderAgent = {
intercept_class_loading: true,
log_resolution_attempts: true,
detect_failures: true,
track_namespace_usage: true
}
```
#### 3. Test Suite Execution
```java
// Leverage existing test infrastructure
TestExecution = {
run_unit_tests: true,
run_integration_tests: true,
run_e2e_tests: true,
analyze_test_failures: true
}
```
---
## Neuro-Symbolic Integration
### Hybrid Reasoning Engine
The three modules are connected through a neuro-symbolic reasoning engine that:
1. **Validates Neural Predictions**: Uses symbolic rules to verify ML model outputs
2. **Explains Decisions**: Provides human-readable explanations using rule traces
3. **Learns from Feedback**: Updates models based on validation results
4. **Adapts Strategies**: Adjusts approaches based on project characteristics
### Decision Flow
```
┌─────────────────────────────────────────────────────────────┐
│ Neuro-Symbolic Decision Flow │
├─────────────────────────────────────────────────────────────┤
│ │
│ 1. Dependency Analysis │
│ ├─ Symbolic: Parse dependencies, build graph │
│ ├─ Neural: Predict compatibility, assess risk │
│ └─ Hybrid: Validate predictions, explain blockers │
│ │
│ 2. Migration Planning │
│ ├─ Symbolic: Define refactoring phases │
│ ├─ Neural: Predict optimal order │
│ └─ Hybrid: Generate validated migration plan │
│ │
│ 3. Incremental Refactoring │
│ ├─ Symbolic: Apply OpenRewrite recipes │
│ ├─ Neural: Optimize batch sizes │
│ └─ Hybrid: Validate changes, track progress │
│ │
│ 4. Runtime Verification │
│ ├─ Symbolic: Execute JAR, parse errors │
│ ├─ Neural: Classify errors, predict root cause │
│ └─ Hybrid: Generate remediation steps │
│ │
│ 5. Feedback Loop │
│ ├─ Learn from verification results │
│ ├─ Update risk models │
│ └─ Refine refactoring strategies │
│ │
└─────────────────────────────────────────────────────────────┘
```
### Knowledge Representation
```java
// Symbolic Knowledge Base
MigrationKnowledge = {
compatibility_rules: CompatibilityMatrix,
refactoring_recipes: RecipeLibrary,
error_patterns: ErrorPatternLibrary,
best_practices: BestPracticeRules
}
// Neural Knowledge (Learned)
LearnedKnowledge = {
compatibility_predictions: MLModel,
refactoring_order_model: MLModel,
risk_assessment_model: MLModel,
error_classification_model: MLModel
}
// Hybrid Integration
HybridReasoning = {
validate: (neural_prediction, symbolic_rules) → validated_prediction,
explain: (decision, rule_trace) → human_readable_explanation,
learn: (outcome, prediction) → updated_model
}
```
---
## Module Interactions
### Interaction Flow
```
┌──────────────┐
│ Module 1 │─── Dependency Report ───┐
│ Dependency │ │
│ Analysis │ ▼
└──────────────┘ ┌──────────────┐
│ Module 2 │
┌──────────────┐ │ Code │
│ Module 3 │◄── Verification ─│ Refactoring │
│ Runtime │ Results │ │
│ Verification │ └──────────────┘
└──────────────┘ │
▲ │
│ │
└─────── Progress Updates ───────┘
```
### Data Exchange
1. **Module 1 → Module 2**: Dependency analysis report informs refactoring strategy
2. **Module 2 → Module 3**: Refactored code and migration progress for verification
3. **Module 3 → Module 2**: Verification results guide further refactoring
4. **All Modules → Neuro-Symbolic Engine**: Shared knowledge for learning
---
## Implementation Strategy
### Phase 1: Symbolic Foundation (Weeks 1-2)
- Implement dependency parsing (Maven/Gradle)
- Integrate OpenRewrite recipes
- Build error pattern matching
- Create basic progress tracking
### Phase 2: Neural Integration (Weeks 3-4)
- Train compatibility prediction model
- Implement refactoring order optimizer
- Build error classification model
- Create risk assessment models
### Phase 3: Hybrid Reasoning (Weeks 5-6)
- Implement validation logic
- Build explanation generation
- Create feedback learning loop
- Integrate all modules
### Phase 4: Runtime Verification (Weeks 7-8)
- Implement process execution
- Build static analysis fallback
- Create class loader instrumentation
- Integrate with Module 2
### Phase 5: Testing & Refinement (Weeks 9-10)
- End-to-end testing
- Performance optimization
- Model fine-tuning
- Documentation
---
## Next Steps
1. **Create UML Diagrams**: Use UML-MCP to generate detailed class and sequence diagrams
2. **Define MCP Tools**: Design MCP tool interfaces for each module
3. **Prototype Core Logic**: Implement symbolic components first
4. **Integrate ML Models**: Add neural components incrementally
5. **Build Integration Layer**: Connect modules through neuro-symbolic engine
---
*Last Updated: 2026-01-27*
