DO-178C and Beyond: Automating Compliance with Data Infrastructure

In the aerospace and defense industries, building a functional piece of hardware is only half the battle. The other half, which often consumes more time, money, and engineering sanity than the actual development, is proving to regulatory bodies that your system is safe to fly.

For airborne software, the gold standard for this proof is DO-178C ("Software Considerations in Airborne Systems and Equipment Certification"). Published by the RTCA and adopted by the FAA, EASA, and other global authorities, DO-178C is infamous for its rigid, uncompromising requirements regarding design assurance and testing (RTCA, 2011).

However, as aerospace vehicles transition into highly complex, software-defined systems with thousands of interconnected sensors, the traditional methods of proving DO-178C compliance are buckling under the weight of modern data.

In this comprehensive guide, we will explore the core bottleneck of safety-critical compliance, bidirectional traceability, and examine how modern aerospace teams are moving away from manual, document-heavy processes toward automated, data-driven compliance powered by unified telemetry infrastructure.

The Crushing Weight of DO-178C and DO-254

Before analyzing the solution, we must understand the scale of the problem.

DO-178C (for software) and its sister standard DO-254 (for complex electronic hardware) operate on the concept of Design Assurance Levels (DAL), ranging from DAL E (no effect on safety) to DAL A (catastrophic failure resulting in loss of aircraft and life).

If you are developing a DAL A system, such as an autonomous flight controller or a fly-by-wire actuator system, the testing requirements are mathematically exhaustive. You must achieve 100% Modified Condition/Decision Coverage (MC/DC), proving that every possible condition in the software has independently affected the outcome of a decision during testing (Rierson, 2013).

But running the tests is only step one. The true challenge lies in bidirectional traceability.

Under DO-178C, you must maintain a mathematically proven unbroken chain of evidence linking:

• System Requirements to High-Level Software Requirements (HLR).
• HLRs to Low-Level Requirements (LLR).
• LLRs to Source Code.
• Source Code to Executable Object Code.
• Executable Object Code to Test Cases.
• Test Cases to Test Results (Telemetry/Logs).

If a regulatory auditor points to a single line of code or a single hardware requirement, your team must be able to instantly trace it all the way down to the physical test data that proves it works, and vice versa.

The Disconnect: Where Traditional Compliance Fails

In a modern Agile Aerospace environment, the traceability chain shatters at the very last link: connecting Test Cases to Test Results.

Requirements and test definitions are usually neatly organized in Application Lifecycle Management (ALM) tools like IBM DOORS, Jira, or Jama Connect. But the actual physical testing occurs on Hardware-in-the-Loop (HIL) test stands or during physical engine static fires.

These physical test environments generate massive volumes of mission-critical sensor data. In a traditional setup, the workflow to prove compliance looks like this:

1. The HIL rig executes a 4-hour test suite against the flight computer.
2. The test stand outputs terabytes of raw, proprietary binary logs and disparate CSV files.
3. A test engineer manually extracts these files via a USB drive or local network drop.
4. The engineer writes custom, brittle Python scripts to parse the binary, align the clock-drift between the avionics logs and the analog sensor data, and filter for the exact microsecond the test case was executed.
5. The engineer takes a screenshot or generates a static PDF graph of the telemetry anomaly and manually attaches it to the Jira/DOORS ticket as "Proof of Test."

This disconnected, highly manual process is catastrophic for aerospace software testing. It introduces human error into safety-critical verification, and more importantly, it causes "Compliance Debt." Teams end up spending 60% of their development cycle parsing data and generating reports rather than engineering better systems (Paz & Elbaum, 2020).

Automating Traceability with Data Infrastructure

You cannot achieve rapid hardware iteration if your compliance process is manual. To survive the rigorous demands of DO-178C, DO-254, and emerging autonomous standards, aerospace teams must transition to Automated Test Reporting fueled by a continuous data pipeline.

This requires a fundamental architectural shift: treating compliance not as a documentation exercise, but as a data engineering problem.

1. Metadata Injection at the Edge

The foundational step to automating DO-178C compliance is ensuring that your physical test data is instantly aware of why it is being generated.

In a modern architecture, when a test case is triggered, the HIL test executive (the software running the test) injects metadata directly into the telemetry stream at the edge. As the physical sensors generate data, those packets are instantly tagged with the Test_Case_ID, Requirement_ID, and Software_Version_Hash.

By standardizing and tagging the telemetry at the edge, the data arrives in the central database already mapped to the compliance framework.

import xpectra

# Initialize Xpectra client
client = xpectra.Client(endpoint="https://telemetry.internal.xpectraflow.com")

# Start a tracked test session linked to DO-178C requirement ID
session = client.start_session(
    name="Actuator_Step_Response_Test",
    tags=["HIL", "DAL-A", "DO-178C"],
    metadata={
        "RequirementID": "REQ-SYS-FCS-402",
        "TestCaseID": "TC-SW-FCS-804",
        "FlightComputerID": "FC-PRIMARY-SN042",
        "HILHardwareConfig": "HIL-RACK-03B",
        "SoftwareVersion": "v2.4.1-rc3"
    }
)

2. Unified Time-Series Architecture for Verification

Once the data is generated, it cannot be left in fragmented CSV files. All test data, from the flight computer’s internal state logs to the physical analog pressure sensors, must be ingested into a unified Time-Series Database (TSDB).

Because TSDBs are optimized for temporal data, they solve the biggest headache in hardware testing: temporal alignment. An auditor doesn't just want to see that a valve closed; they want to see that the valve closed exactly 12 milliseconds after the flight computer issued the command. A high-performance TSDB allows automated reporting tools to execute exact range queries across disparate hardware subsystems, generating mathematically perfect proof of execution timing (Broy et al., 2021).

3. Compliance-as-Code

When your requirements tool (DOORS/Jama) and your physical test data reside in interoperable, queryable environments, compliance becomes code.

Instead of an engineer manually building a report, a Continuous Integration/Continuous Deployment (CI/CD) pipeline runs a script that says: "Query the TSDB for the telemetry associated with Requirement_ID_402, verify that the pressure metric stayed within the designated limits during the 10-second test window, and automatically mark the requirement as 'Verified' in the ALM tool."

// Define programmatical assertion for HIL test telemetry validation
import { XpectraQueryClient } from '@xpectra/sdk';

async function verifyCompliance(sessionId: string) {
  const query = new XpectraQueryClient();
  
  // Fetch high-rate actuator telemetry and commands for the test window
  const telemetry = await query.fetchTimeSeries({
    sessionId: sessionId,
    signals: ['FCS.Actuator1.CommandedPos', 'FCS.Actuator1.MeasuredPos'],
    frequencyHz: 100 // 100Hz high-rate telemetry
  });

  // Programmatic compliance assertion: 
  // Actuator position must settle within 2% of Commanded Position within 150ms
  const settlingTimeLimitMs = 150;
  const tolerancePercent = 0.02;

  const result = evaluateSettlingTime(telemetry, settlingTimeLimitMs, tolerancePercent);

  if (result.passed) {
    // Automatically push evidence package back to ALM Polarion/Jira
    await query.pushEvidence({
      requirementId: 'REQ-SYS-FCS-402',
      testCaseId: 'TC-SW-FCS-804',
      status: 'PASSED',
      plots: [result.plotUrl],
      rawTelemetryLink: `https://xpectraflow.com/sessions/${sessionId}`,
      complianceMetadata: {
        maxSettlingTimeObservedMs: result.observedSettlingTimeMs,
        maxDevianceObservedPercent: result.observedDeviancePercent
      }
    });
    console.log("Compliance evidence successfully generated and synced.");
  } else {
    throw new Error(`Compliance failed: Actuator did not settle within limits. Deviance: ${result.observedDeviancePercent}%`);
  }
}

This achieves true, automated bidirectional traceability. The time-to-insight for compliance drops from weeks to seconds.

Beyond Airborne Software: The Future of Certification

The urgency of this infrastructure shift extends far beyond traditional aircraft.

The aerospace industry is currently grappling with how to certify highly complex "System of Systems," Advanced Air Mobility (AAM) eVTOLs, and AI-driven autonomous systems. Machine learning models cannot be easily certified under the deterministic rules of DO-178C. Instead, regulatory bodies like EASA and the FAA are moving toward data-driven, continuous monitoring frameworks (EASA, 2023).

Under these new frameworks, the ability to instantly ingest, analyze, and prove the safety bounds of mission-critical sensor data across thousands of hours of HIL and physical testing will be the singular barrier to entry for commercialization. If you do not have world-class telemetry infrastructure, you will not get certified to fly.

Build for Certification with Xpectra

Engineering teams should be focused on pushing the boundaries of flight, physics, and autonomy not fighting with CSV files to satisfy an auditor.

Xpectra is the definitive telemetry data infrastructure for modern, agile hardware teams. We provide the architectural backbone required to automate your compliance. By capturing, standardizing, and unifying your physical sensor data and avionics logs at the edge, Xpectra ensures that your telemetry is instantly queryable, mathematically verifiable, and perfectly time-aligned.

Whether you are seeking DAL A certification under DO-178C, validating electronic hardware under DO-254, or running millions of miles of autonomous HIL simulation, Xpectra connects your physical test reality to your compliance requirements.

Stop drowning in manual test reports. Achieve true hardware observability, automate your bidirectional traceability, and accelerate your path to certification with Xpectra.