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What is Virtual Prototyping and Why is it Important in Product Development?

DevSecOps

The design and engineering field underwent a remarkable shift over the past two decades. 

Traditionally, teams relied only on physical prototypes and tangible models to validate concepts, which were costly and time-consuming. The introduction of virtual prototyping has fundamentally altered how companies approach innovation and product development. With that, instead of relying on physical mockups, teams can build digital models and test performance under real-world conditions.

The advantages of virtual prototypes are beyond economics. Compared to physical prototypes, virtual methods allow faster iteration, earlier validation, and lower rework risk. Furthermore, according to a report prepared by the Aberdeen Group, teams that use virtual prototyping shorten the length of their development time by 29%.

Let’s understand more about virtual prototyping, how it is different and better than physical prototyping, and how well-structured requirements management improves that.

What is Virtual Prototyping?

Virtual prototyping, also known as Computer-Aided Engineering (CAE), is a process of creating the digital version of the product that replicates a product’s physical characteristics, behavior, and performance. 

To understand virtual prototyping in a better way, consider Tesla’s approach to vehicle development. They run multiple virtual crash tests and simulations before developing physical test vehicles. Each simulation gives them new data or errors that would otherwise require destroying physical prototypes worth thousands of dollars.

So, virtual prototyping helps teams in transforming abstract concepts into testable and measurable designs in no time and without consuming physical resources.

Aspect
Virtual Prototyping
Physical Prototyping
Format
It’s a digital model built using software like CAD or Simulation tools.
It’s a real, physical sample built using materials and manufacturing processes.
Stage of Use
Developed during the design and requirement validation.
Developed during the production.
Cost per Iteration
Very low cost, as it is simulated in a virtual environment.
Very high due to material, tooling, and fabrication costs.
Speed of Changes
Design updates can be tested within hours or days.
Changes require rebuilding or modifying hardware.
Risk Exposure
No physical damage risk during extreme scenario testing.
Risk of component failure, damage, or safety issues.
Requirement Validation
Enables early feasibility checks against performance requirements
Confirms real-world performance after design is finalized
Traceability
Simulation results can be linked directly to requirements and verification records.
Manual documentation is required to link test outcomes to requirements.
Scalability of Testing
Multiple scenarios, edge cases, and stress conditions can be tested easily
Limited number of physical test scenarios due to time and cost
Accuracy
Based on mathematical models and assumptions
Reflects real-world physical behavior under actual conditions

Also read: A detailed guide on model-based development

Benefits of Virtual Prototyping in Product Development

There are multiple benefits of virtual prototyping that directly affect the project timeline, budget, and product quality. It helps in reducing the uncertainty in design decisions and improves control across the product development lifecycle. Here are more benefits of virtual prototyping:

  • Early requirements validation: Teams can validate performance requirements before they start building physical prototypes. This helps in reducing the rework later.
  • Reduced product development cost: Virtual prototyping eliminates expenses associated with materials, labor costs, and tools required for multiple iterations. Companies report that they save 80% in costs with virtual simulation.
  • Faster design iteration: With virtual prototyping, engineers can adjust material, dimensions, and other required fields instead of building different parts from scratch and rerun the simulation. This improves the time to market.
  • Better traceability: Simulation outcomes can be directly linked to requirements, and teams can track results of different iterations in a single place.
  • Improved collaboration across teams: Virtual models can be shared with global suppliers, stakeholders, and team members online. This reduces the delay that occurs due to physical prototype shipping.
  • Regulatory compliance support: Virtual simulation generates evidence of safety, validation, and performance testing, which is very useful to get product approvals from regulatory bodies such as the FDA or ISO.

The Role of Requirements Management in Virtual Prototyping

The efficiency of virtual modelling totally depends on the quality and clarity of requirements. The clear requirements help in selecting the right model, input data, boundary conditions, acceptance criteria, and other artifacts. On the other hand, when requirements are vague or ambiguous, simulation tests wrong things, and the results are hard to interpret.

Furthermore, traceability is more valuable while developing and simulating virtual prototypes. It ensures that each simulation test is connected back to the specific and relevant functional, non-functional, or compliance requirements. This helps in tracking untested critical requirements, generating audit trails for compliance documentation, and understanding which changes might affect different parts or regulatory commitments.

For example, in medical device development, the FDA expects teams to submit required evidence that demonstrates device design testing addresses all functional safety requirements, and virtual prototyping with traceability makes that possible.

Other than that, in modern product development, multiple engineering teams often work together. For example, during aviation development, mechanical engineers, electrical engineers, software engineers, and aerospace engineers develop a virtual prototype together. In this case, all approved requirements serve as the common language that keeps teams aligned.

In short, well-established traceability, structured requirements reviews, change control, requirements modelling, and virtual prototyping tools really play an important role in virtual prototyping.

How Modern Requirements4DevOps Strengthens Virtual Prototyping Outcomes

For effective virtual prototyping and simulation, teams need a single tool that can manage requirements and allow teams to build and simulate virtual prototypes in one place. Modern Requirements4DevOps, which works directly within your Azure DevOps workspace, is one of them.

Teams can use the Simulation module of Modern Requirements4DevOps to build virtual prototypes collaboratively directly within the ADO workspace. It offers a drag-and-drop interface to build virtual prototypes using different components, including buttons, text boxes, or hardware components. It also allows adding real-time actions that each component should perform when the user interacts with it. These virtual prototypes can also be saved as templates for reuse.

Similarly, the Diagram module allows teams to build different types of requirements models based on ADO work items that can be simulated under different conditions using the Use Cases module.

The traceability feature of Modern Requirements4DevOps allows connecting all simulation results with existing ADO work items, which is very helpful for teams working in regulatory industries. The best part is that the version and variant management feature helps in tracking how the virtual prototype has evolved and who made changes.

Formal review workflows within Azure DevOps support validation of simulation assumptions and results. Approvals, comments, and version history are preserved, which is critical in regulated environments.

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