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LabVIEW Application Development for Test and Measurement Systems

Razvan Verdeti

Razvan Verdeti

Team Lead Project Management

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Razvan Verdeti is a team leader in project management at soxes. With a degree in electronics and telecommunications and many years of experience in IT projects, he combines technical expertise with a structured approach to work. What sets him apart is his calm presence, solution-oriented thinking, and good sense of feasibility.

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LabVIEW Application

How to Manage Dependencies, Team Risks, and Changes

Many LabVIEW applications operate reliably for years. Especially in test systems and test environments, this is often the reason why the underlying approach isn’t fundamentally questioned for years. Challenges often don’t become apparent when a system fails, but only when new requirements need to be implemented more quickly, experienced staff are lacking, or the team reaches its limits when making expansions.

Then it’s not just about software. Then it’s about test procedures, development speed, production launches, and the question of how heavily you depend on a small number of people and technology that is difficult to access.

Common Challenges with LabVIEW Applications

The testing software is running, but the team isn't making much progress

Many LabVIEW environments have been adapted to meet specific needs over the years. Eventually, existing frameworks and “in-house developments” are no longer sufficient to handle new requirements. While the system may still function, every new enhancement becomes more complicated.

Recruiting is becoming a real risk

When it’s difficult to find new employees with LabVIEW experience and the onboarding process takes a long time, it creates more than just a staffing problem. It poses a risk to development capabilities, delivery capabilities, and the team’s workload.

Too much time is spent on the actual implementation

When the majority of time is spent on programming and technical catch-up work, there is too little time left for requirements management, prioritization, and strategic development.

Changes to the environment and infrastructure can be tricky

A new computer, a different version of Windows, new hardware, or a driver update may be relevant because the application, runtime, drivers, and modules must work together seamlessly.

Business Impact

  • New requirements from engineering or the plants can no longer be implemented quickly enough
  • the team spends too much time on programming instead of requirements management
  • Recruiting LabVIEW experts takes too long
  • Modern development using AI or new platforms is practically left out
  • No one can reliably say how risky a migration, update, or device change really is

What is our specific approach to LabVIEW applications?

We don’t just look at the application itself, but at the entire system surrounding it.

We analyze the actual setup

  • Which test systems, devices, and interfaces are in use
  • which internal frameworks or custom logic shape the development
  • what dependencies exist regarding runtime, Windows, drivers, and modules
  • how heavily the system relies on specific individuals

We make bottlenecks in day-to-day operations visible

  • Where the team is currently wasting an unnecessary amount of time
  • Why requirements are being implemented too slowly
  • where LabVIEW is still sufficient functionally but holds us back strategically
  • which parts of the setup make expansions difficult

We evaluate sensible transition paths

  • Stabilizing the existing system
  • Decoupling particularly critical components
  • Intermediate layers between existing logic and the new environment
  • Parallel operation of existing and new components
  • Gradual replacement instead of a sudden, drastic overhaul

We reduce team and operational risks

  • Preserve knowledge of build, runtime, and target systems
  • Reducing dependence on individuals
  • Improve handoffs and traceability
  • Laying the foundation for more transferable and reliable further development

We lay the groundwork for modern development

  • Faster implementation of new requirements
  • more scope for requirements management and industrialization
  • better connectivity to modern tools
  • realistic options for AI-supported development

What you know after an initial analysis

  • Where LabVIEW is actually holding you back today
  • how dependent you really are on specific people and specialized knowledge
  • What technical limitations your current setup has
  • how critical runtime, drivers, devices, and deployment are
  • whether stabilization or gradual replacement makes more sense

Frequently asked questions

  • Why does LabVIEW often become a problem only later on?

  • How risky is changing computers, Windows, or hardware when using LabVIEW?

  • Is it possible to phase out LabVIEW gradually instead of rebuilding everything from scratch?

  • Is it practical to combine Python or C# with LabVIEW?

  • Why is recruiting for LabVIEW often so difficult?

  • How can you tell when your own LabVIEW framework is reaching its limits?

  • When is it worth switching from LabVIEW to a text-based technology?

Want to know if LabVIEW is holding your team back more than helping it today? Let’s take a look together at test systems, dependencies, team risks, and sensible next steps.

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Sofia Steninger

Sofia Steninger
Solution Sales Manager