As NASA missions grow increasingly software‑intensive, software behavior has become one of the most critical contributors to system-level risk. A recent cross-program assessment was conducted using generative AI, extracting every hazard in the NASA Cross‑Program Hazard Tool that included a software element. The assessment showed a clear pattern: the same types of software hazards occur repeatedly across Orion, SLS, Ares I, Gateway and related systems. These recurring issues create opportunities for targeted improvements in Software Assurance (SA) and Independent Verification and Validation (IV&V) activities and for developing a unified approach to mitigating software‑related hazards across programs.

This article summarizes the most common software hazards identified across programs and highlights how SA and IV&V can help reduce mission risk by addressing the systemic trends revealed by the analysis.

Top 10 Software Hazards Identified Across Programs

The cross‑program hazard review highlights significant consistency among software-related risks. The dominant categories include erroneous commanding, bad data inputs, timing failures, configuration mistakes and common-cause software defects. Specifically, the Top 10 hazards identified in the analysis include

1. Erroneous Flight Computer Outputs – Software or firmware defects in flight computers that send incorrect commands, unsafe timing signals or corrupted data to critical systems
2. Invalid Navigation Unit Outputs (Redundant Inertial Navigation Unit, or RINU) – Faulty algorithms or firmware generate incorrect position/attitude data, impacting Guidance, Navigation and Control (GN&C) stability
3. Incorrect Rate Gyro Outputs (Rate Gyro Assembly, or RGA) – Software processes angular rate data incorrectly, degrading attitude control
4. Loss or Corruption of Flight Computer Outputs – Timing faults, memory corruption or partition failures suppress critical command streams
5. Loss or Corruption of GN&C Data – Software errors in data handling, routing or filtering introduce incorrect state estimates
6. Software Commanding Errors – Commands sent to the wrong effector, issued at the wrong time or routed incorrectly
7. Requirements, Design or Code Defects – Incomplete requirements, flawed design logic or coding mistakes leading to incorrect algorithm behavior
8. Partition or Memory Isolation Failures – Software partition failures causing cross-channel interference or unintended propagation of faults
9. Corrupted or Incorrect Configuration Files – Incorrect I-loads (moment of inertia) or K-loads (stiffness/load factors) or other critical configuration products leading to improper system behavior
10. Common‑Cause Software Failures Across Redundant Units – Redundant avionics using identical software/firmware, resulting in systemic vulnerability to latent defects

Across these categories, one theme is particularly important: many hazards are systemic, not program‑specific. The same weaknesses appear in multiple vehicles and flight phases, representing opportunities for coordinated safety investments.

Why These Software Hazards Matter

While many hardware hazards are isolated to particular subsystems, software hazards often span system boundaries, affecting flight computers, navigation units, control loops, parachute deployment logic, separation events, abort logic and more. Because software coordinates the behavior of the entire vehicle, a defect in a single function—especially one involving timing, data validity or command routing—can cascade into loss of control or incorrect execution of critical sequences.

Even when likelihood is assessed as low, many of these hazards have catastrophic severity. The analysis shows that hazards associated with data corruption, incorrect sequence logic or common-cause software failures can undermine the very redundancy that spacecraft rely on for safety.

How Software Assurance and IV&V Can Reduce These Risks

The cross‑program findings provide a roadmap for how SA and IV&V teams can meaningfully reduce risk. Key opportunities include

1. Strengthen Mitigation of Common‑Cause Failures

Because redundant avionics frequently share identical firmware/software, SA can ensure that programs

• Consider dissimilar redundancy for highest‑criticality functions
• Evaluate compiler, OS and toolchain diversity to reduce systemic vulnerabilities
• Identify hidden coupling between redundant channels

2. Increase Hazard‑Targeted Software IV&V

SA can drive high‑rigor verification where hazards are concentrated. These instances include

• Parachute and separation sequence logic
• GN&C mode transitions
• Fault Detection, Isolation and Recovery (FDIR)
• Command routing and timing behaviors

Targeted fault‑injection, robustness testing and timeline‑distortion testing directly address several top hazards.

3. Improve Data Integrity and Timing Assurance

Because timing faults and stale/invalid data show up repeatedly across hazards, SA can promote

• Deterministic‑timing verification
• Enhanced data‑validity checks
• Redundant timestamp sourcing
• Expanded telemetry for timing diagnostics

4. Strengthen Configuration and Load Assurance

Many catastrophic hazards stem from incorrect or corrupted flight loads. SA can

• Require cryptographic signing and hash validation of loads
• Perform independent load audits
• Trace each load parameter to hazard controls
• Support Monte‑Carlo sensitivity testing to expose unstable configurations

5. Enhance Formal Methods and Algorithm Validation

Critical sequences and control algorithms benefit from

• Formal verification of state machines and mode transitions
• Thorough simulation model credibility checks per NASA‑STD‑7009 Standard for Models and Simulations
• Independent algorithm reviews for navigation, abort logic and sequencing

6. Expand Oversight of COTS/ Real-Time Operating System (RTOS)/FPGA Software

Commercial Off-the-Shelf (COTS) and firmware are common hazard sources. SA can require

• Vendor process audits
• In‑depth Field Programmable Gate Array (FPGA) bitstream reviews
• Radiation and robustness testing on software‑driven components

7. Improve Cross‑Program Hazard Traceability

A major insight of this study is that different programs share the same failure modes. SA is uniquely positioned to

• Connect hazard data across programs
• Identify systemic software risks
• Ensure controls are verified consistently, even when hazards are transferred across projects

Conclusion: A Unified Opportunity for Software Safety Gains

The cross‑program hazard review shows that NASA’s software-related hazards—though distributed across missions—share consistent causes. This provides a rare opportunity: by focusing assurance activities on these repeating patterns, NASA can achieve safety gains that benefit multiple programs simultaneously.

SA and IV&V play a critical role in identifying systemic risks, strengthening verification where it matters most, ensuring data integrity and validating the correctness of critical algorithms and configurations. As vehicles become more autonomous and software-dependent, the ability of SA/IV&V to address these hazards at their root becomes increasingly central to mission safety.

By taking a cross‑program view and applying all lessons learned broadly, Software Assurance can help ensure that NASA’s most software‑intensive systems remain robust, reliable and safe—now, and in the missions ahead.