Tharindu Ranathunga
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RADAR

RADAR: Code Quality Metrics Aggregation Platform

Apr 2017 - Aug 2018

Central platform for aggregating static and dynamic code analysis metrics and computing quality scores across engineering workflows.

Problem Statement

  • Code quality signals were fragmented across multiple static and dynamic analysis tools.
  • Engineering teams needed a single source of truth for code-quality trends and health metrics.
  • Decision-making was slowed by inconsistent reporting and manual metric interpretation.

What I Led

  • Contributed to the design and implementation of a central metrics aggregation pipeline.
  • Integrated outputs from static and dynamic analysis tools into a unified scoring model.
  • Supported quality score computation and reporting for engineering decision support.

Deliverables

  • Unified code-quality metrics platform
  • Aggregated static and dynamic analysis reporting
  • Quality scoring workflow for software delivery teams

Tech Stack

ElasticsearchPythonMachine LearningBambooValgrindSonar

Industry Relevance

Provides a practical model for organizations to operationalize code-quality governance and improve software reliability through unified engineering intelligence.