TraceMap

Error Tracking & Bug Reporting

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TraceMap functions as a static analysis tool that converts source code repositories into evidence-backed, structured maps by scanning codebases, comparing snapshots, and identifying contract changes, thereby supporting release reviews and compliance assessments. Its key features include rule-based fact collection, detailed metadata annotation such as rule identifiers, evidence levels, file spans, commit SHAs, and extractor versions, along with the ability to generate extensive reports, logs, and demo outputs without relying on large language models or embedding techniques. This platform addresses challenges related to validating code integrity, ensuring contractual adherence, reducing manual review effort, and providing transparent, reproducible evidence for developers, reviewers, and managers engaged in software quality assurance, compliance validation, and risk management.

TraceMap can be found in Error Tracking & Bug Reporting categories.

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Details

TraceMap Main Features

• User Support
  It helps different team members understand, review, and work with code evidence effectively.
• Code Analysis
  TraceMap analyzes code and creates evidence-backed maps from repositories.
• Data Tracking
  Every finding includes details like rule ID, evidence level, file span, commit SHA, and extractor version.
• Evidence Path
  TraceMap guides users from questions to proof using structured evidence and proof assets.
• Guided Workflow
  It offers a clear process for managers, reviewers, and engineers to use and understand evidence.
• Report Building
  TraceMap can put together release review packets from facts found in the code.
• Static Analysis
  It uses static analysis, meaning it looks at code without running it.
• Change Detection
  It helps reduce contract changes and differences over code versions.
• Verification Tools
  Users can inspect, show, and run evidence-based reports safely and systematically.
• No AI or Embeddings
  It does not use large language models, embeddings, vector databases, or prompt-based classification.
• Repository Scanning
  It can scan code repositories and compare different snapshots.
• Output Visualization
  You can see the results of scans easily with demo outputs and reports.

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