Debug‑Driven Design (DDD) is a core methodology at Hampel Software Engineering (HSE). It emphasizes designing software with defect detection and rapid status feedback as the primary goal — not just as an afterthought.

DDD flips the usual workflow: rather than writing full features first, each change is approached as a problem to debug. Code is structured to expose its internal state, ensuring problems are caught early. This supports:

• Easier inspection 

  • developers can log or breakpoint simple, modular steps.
• Immediate feedback loops

  • quick diagnostics during commissioning.
• Error-first mindset

  • “how could this fail?” is asked before “how should this work?”

This aligns with the concept of Debug‑Driven Development—optimizing code structures to aid future debugging by isolating intermediate values and reducing nested logic

1. Improved Reliability & Safety

   1. Defensive design and immediate visibility into unexpected states reduce latent defects
2. Faster Fault Diagnosis

   1. Clean logging and clear code flow allow field and commissioning teams to locate issues more quickly
3. Modular, Comprehensible Code

   1. Shallow, testable functions avoid hidden complexity—essential in industrial environments
4. Traceability & Compliance

   1. Structured error handling and status reporting build audit trails, crucial in regulated systems.
   2. Efficient Maintenance
   3. Code that’s easy to inspect means simpler additions, bug fixes, and version evolution.
5. Aligned with TDD and CI/CD

   1. DDD integrates naturally with test-driven approaches; failing tests become triggers to debug, then fix

• Instrument early

  • embed logs, signals, health status hooks even before main logic.
• Isolate logic

  • avoid deep nesting or chaining; expose each step to observation :contentReference[oaicite:6]{index=6}.
• Test as you build

  • write tests that assert both positive behavior and failure conditions.
• Fail fast

  • design for early detection of illegal states, not silent failure.
• CI/Field-ready deployments

  • CI/CD should reject builds missing diagnostics, and deployment packages should include actionable logs.
• Commissioning focus

  • modules must clearly signal warnings, errors, health checks (e.g. via HSE‑Logger or fieldbus status codes).

• Robust against hardware faults

  • early detection of sensor or bus errors.
• Transparent operation

  • commissioning teams get immediate feedback.
• Regulatory compliance

  • logs can be traced back to failure-resolution events.
• Scalable for long-term maintenance

  • code remains readable, diagnosable, and testable.

At GDevConNA '23, Steve Watts and Joerg Hampel presented on “Driven Development”, talking about various software development methodologies, and diving into the details of Debug-Driven Design (starting around 25:15). You can find the recording of the presentation on Youtube:

• Random Ramblings on LabVIEW Design: Why DDD?
• Random Ramblings on LabVIEW Design: What is DDD?
• SAS Workshops: DDD
• The DQMH Podcast: Episode 5 (around 41:30)