What Should Be Considered When Selecting a Test Platform?
The question of selecting a suitable test platform can arise in very different situations. A new test system may be required. Several existing solutions may need to be standardized. Or an existing test environment may need to be modernized step by step and moved to a new technical foundation.
The starting point is usually a set of very specific requirements: Which measurement instruments are needed? Which interfaces must be supported? Which test sequences need to be implemented?
These questions are important. However, they are not sufficient when selecting a platform.
A test platform is often used for many years. It may become the basis not only for a single project, but later for additional products, variants, and test stations. Its selection therefore also influences how test programs are developed, how changes are introduced into production, how results are managed, and how future requirements can be implemented.
The key question is therefore: Is the goal simply to create a solution for the next test project, or to establish a technical and organizational foundation for the overall testing process?
Existing Equipment Should Remain Usable
In many companies, platform selection does not begin from scratch. Measurement instruments, switching equipment, adapters, interfaces, and sometimes complete test systems are already in place and continue to fulfill their purpose.
A new platform should take these investments into account wherever possible.
It is therefore important to determine which existing instruments and interfaces can be integrated, how different generations of equipment can work together, and whether vendor-specific drivers can be incorporated.
This level of openness is particularly important when modernizing existing systems. A new software foundation should not automatically require functioning measurement and system hardware to be replaced at the same time.
The same applies to future projects. The more freely the required hardware can be selected according to the task at hand, the less the platform itself dictates which instruments must be used.
What Is Already Solved, and What Still Has to Be Created Within the Project?
Almost any test software can be extended. That alone says little about the actual effort required to implement a specific project.
A more relevant question is which recurring tasks are already available as finished and maintained components of the platform.
These may include structured development and execution of test programs, instrument integration, product and variant management, diagnostics, versioning, data management, or project distribution.
The difference quickly becomes apparent in day-to-day project work.
If process control is required, an existing database infrastructure provides a very different starting point from having to develop tables, access mechanisms, and data models first. For test program development, a defined workflow can already specify how development, commissioning, approval, and production operation are separated from one another.
Such capabilities do more than save development time. They also establish a consistent system that can be retained from one project to the next.
This is one of the key differences between a platform and a collection of reusable software components.
A Shared Software Base Is Not Yet a Platform
Over many years and decades, manufacturers, system integrators, and users often build extensive libraries and frameworks. Proven components are reused from one project to the next. This accelerates implementation and can certainly create a degree of standardization.
There is nothing inherently problematic about this approach. It simply follows a different logic.
The immediate focus is the individual project. Existing components are reused, adapted, and extended until the required solution works. Individual modifications are common and often appropriate.
Over time, however, the boundaries between different parts of the system can begin to blur.
A data logging function may become part of the test program itself. A project-specific process sequence may become part of the runtime software. A special instrument integration may require changes in areas that were never originally intended for that purpose.
Under project time pressure, such solutions can be entirely understandable. Many years later, however, their consequences become more apparent: it may become difficult to determine which components are generally applicable, which were created for a specific project, and how a change in one area will affect other parts of the system.
A product-based platform aims to limit this development through its architecture.
Its core functions form a stable foundation. Test programs, measurement instrument integration, data management, handling, and other project-specific extensions remain separated from that core as clearly as possible and communicate through defined interfaces.
This separation does not automatically make a test system less complex. It does, however, keep that complexity within defined boundaries.
A Platform Also Structures the Testing Process
The benefits of such a structure extend beyond software architecture.
As soon as multiple products, variants, or test stations are involved, organizational questions arise: Which version of a test program has been approved? Which variant is running on which station? How is a change introduced into production in a controlled manner? Where are the results stored? How do engineering, production, and quality assurance access the same information?
A test platform can provide a common framework for these tasks.
This makes it more than a runtime environment for test programs. It connects development, commissioning, production, data management, and long-term maintenance within a common system.
This is particularly relevant because a test program itself often remains comparatively stable throughout its lifetime. Its fundamental structure does not necessarily need to change continuously. Adjustments tend to occur selectively: a new product version is introduced, limits change, an additional variant is added, or a measurement instrument is replaced.
These kinds of changes should be manageable in a controlled way.
A clear project structure, traceable versioning, and separation between general test logic and product- or variant-specific information help preserve the existing structure instead of making it more fragmented with every modification.
Data Should Be Considered from the Beginning
Every test generates measurement values, limits, serial numbers, error codes, and other production information. Data that is initially required only for a pass/fail decision may later become relevant for traceability, failure analysis, quality assurance, or process improvement.
Data management should therefore not be treated as a topic that is addressed only after the test program has been completed.
When selecting a platform, it is important to determine what infrastructure is already available: How are results stored in a structured way? Can local and central databases be combined? What happens when the network connection is interrupted? How can data be transferred between stations or sites and analyzed later?
A prepared data infrastructure provides an advantage here as well: new applications do not have to develop their own solutions for storage, transfer, and access each time.
This becomes increasingly important as the test environment grows.
With a single station, many tasks can still be handled through individual solutions. With multiple stations, test programs need to be distributed, versions kept consistent, results consolidated, and changes rolled out in a controlled manner. A common platform can prevent each of these tasks from requiring another separate solution later on.
Openness and Dependencies Should Be Evaluated Deliberately
Even a well-structured platform cannot already contain every future requirement. Measurement instruments are discontinued, new interfaces become necessary, and additional systems need to be connected.
Extensibility therefore remains an important selection criterion.
The decisive question is less whether extensions are possible in principle, but how they are implemented. Are there defined interfaces? Can custom instruments, libraries, or software components be added? Do such extensions remain separated from the core of the platform?
This is closely connected to the question of technical dependencies.
Every platform makes certain technical choices, for example regarding operating systems, programming languages, databases, interfaces, or supported hardware. Such decisions are not inherently disadvantageous. They should, however, be understood and aligned with the company's own strategy.
A useful question is therefore what happens if an individual component needs to be replaced later. Does this require changes throughout the entire system, or is the impact limited to a clearly defined area?
The Platform Must Also Suit the Team
Ultimately, a test platform is used and maintained by people over many years.
It is therefore important to consider which skills are available within the company, who develops the test programs, and who will maintain them later. An environment designed primarily for specialized software developers may be appropriate in a different setting than a platform used mainly by test or production engineers.
Training effort and the long-term comprehensibility of projects also play an important role.
For test systems with long service lives, it is essential that a project can not only be implemented today, but can still be understood and maintained years later.
The Decision Extends Beyond the First Project
When selecting a test platform, it therefore makes sense to use the immediate project as the starting point, but not as the limit of the evaluation.
It is important to determine which existing infrastructure should remain in use, which recurring tasks should already be handled by the platform, and which areas need to remain clearly separated from one another technically. Equally important are the handling of test programs and product variants, data management, distribution, extensibility, and the requirements of the people who will work with the system later.
This turns the product selection into a more fundamental decision.
It determines how much infrastructure must be recreated in future projects, how much individual solutions are allowed to differ from one another, and which technical structure remains consistent across multiple test systems.
A product-based test platform can provide a stable framework for this: recurring tasks are already addressed, the core runtime environment remains separated from project-specific requirements, and necessary extensions can be implemented within defined structures.
- With Tecap and our experience in integrating and modernizing automated test systems, we offer one possible foundation for such scenarios. Whether it is suitable for your existing environment and requirements is best assessed by looking at the specific testing process.
Contact us for a non-binding discussion about your testing environment.