Overview

As a contractor supporting NASA’s Artemis mission, I developed an automated testing framework to validate mission-critical spacesuit software and hardware interfaces. The system improved reliability, enabled repeatable regression testing, and reduced manual validation effort in a safety-critical aerospace environment.

The Problem

Spacesuit control systems involve complex interactions between embedded software and hardware components. Existing workflows relied heavily on manual test execution and physical hardware validation, slowing iteration and limiting regression coverage.

Solution & Contributions

• Integrated pytest with the Trick simulation framework to enable automated simulation-driven validation.
• Designed comprehensive regression test suites for control logic and hardware interface behaviors.
• Enabled hardware validation within simulation environments to reduce dependency on physical test runs.
• Built a CI/CD pipeline to automatically trigger regression tests on code changes.

Technical Architecture

The Trick simulation environment executed system models while Python-based pytest frameworks orchestrated automated validation. CI/CD automation ensured regression testing occurred consistently across builds, providing rapid feedback and structured failure reporting.

Impact

• Improved automated regression coverage.
• Reduced manual validation workload.
• Accelerated development feedback cycles.
• Strengthened reliability assurance for Artemis systems.