Ergon has developed its epistemic testing methodology specifically for dynamic, complex environments and projects. It picks up where traditional methods leave off: where lots is happening at once, where interdependencies come into being or where developments are hard to predict. Our approach does not merely demonstrate whether a system is working – it provides deeper insights, so you can understand processes from start to finish.
Our epistemic software testing services
Understanding and utilising mistakes
Mistakes reveal a lack of knowledge, so we make them usable long term to improve systems and processes.
Identifying and clarifying connections
Epistemic testing goes far beyond checklists: it helps with recognising connections and creates a sense of understanding that goes beyond functional correctness.
Behind the code: recognising models
We look behind the code, at the models it is based on, to generate deep-seated insights into complex systems.
Drawing on complexity
Cultivating the unknown: epistemic testing works with uncertainty and systemic patterns.
Software testing from Ergon – a systemic approach that generates knowledge
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In-depth insights: fewer repeated errors, more sustainable solutions, more efficient use of resources
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Visible professionalism: testing processes that can be traced, explained and influenced
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Systematic learning: more scope for reusing knowledge, streamlined onboarding, consistent quality
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Enhanced model quality: more resilient models, transparent system behaviour, ability to identify risks in good time
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Clear artefacts: better alignment across departments, more efficient coordination, less room for interpretation
What makes impactful software testing unique?
Complexity is the new normal. Modern software systems are networked, dynamic and full of interdependencies. Thanks to agile development, cloud environments and AI, they change quickly – and constantly. Insight-driven testing offers cognitive tools for handling this complexity, turning every test result into a learning opportunity and fostering organisational resilience. Traceability and responsibility are crucial in sensitive areas like AI, finance or healthcare. Insight-driven testing offers the required methodological backbone.
How does epistemic testing differ from traditional testing?
| Category | Traditional testing | Epistemic testing |
|---|---|---|
| Goal | Checks for correctness. | Creates an understanding of system behaviour and identifies knowledge gaps. |
| Guiding question | Asks: “Does it match the specification?” | Explores: “What do we know? What are we assuming? Where are there gaps? How does it work?” |
| System understanding | Sees the system as a known entity that can be controlled. | Recognises complexity and acknowledges that this complexity can create new characteristics. |
| Error understanding | Sees errors as deviations from expected findings | Sees errors as flagging areas where the system or our assumptions have hit a wall. |
| Unit of observation | Looks at individual test cases. | Looks at the entire relational structure and the context. |
| Type of result | Generates a pass/fail result. | Generates insights, knowledge and improved models. |
| Timing | Occurs after roll-out. | Takes place before, during and after development. |
We look forward to hearing from you
We are pleased that you are interested in our services. Do you have any questions or a specific project idea? Tell us about it – with no commitment on your part. Our experts will contact you as soon as possible.