Service
Test Automation, Embedded Systems Validation
Test Automation, Embedded Systems Validation
Clients
Porsche Engineering
Porsche Engineering
Date
2018
2018
Software
HiL Systems, CANoe, LabVIEW
HiL Systems, CANoe, LabVIEW
Location
Germany
Germany
The Challenge
Automotive software operates at the intersection of hardware, real-time constraints, and safety requirements. Systems must behave predictably under a wide range of physical conditions, hardware configurations, and edge cases while meeting strict quality and reliability standards.
Ensuring consistent and repeatable validation across hardware-dependent environments required a disciplined and deeply technical testing approach.
Industry
Automotive, Embedded Systems
Automotive, Embedded Systems
Scope
Test Automation, HiL Validation, System Quality
Test Automation, HiL Validation, System Quality
Role
Test Automation and Quality Engineering Consultancy
Test Automation and Quality Engineering Consultancy
Validation role
Test Automation and Quality Engineering
Test Automation and Quality Engineering
What was being validated
- Embedded automotive control systems
- Hardware in the Loop environments
- Integrated hardware and software interactions
- Communication and signal-based workflows
- Functional and developmental system behavior
The focus was on correctness, repeatability, and engineering confidence.
The Approach
Quality was engineered directly into hardware-dependent development through HiL-aware automation, structured test design, and repeatable system-level validation. Automation focused on precision, stability, and long-term maintainability across complex test environments.
Quality Outcomes
- Reliable validation across automotive hardware and software
- Reduced risk of regression in functional and embedded systems
- Increased confidence in system releases
- Early identification of hardware and software integration issues
Why This Matters
Avento’s role
This engagement reflects Avento’s ability to operate at the intersection of software, hardware, and engineering rigor. In automotive systems, quality must be validated under real physical constraints, not assumptions.
Building software where precision matters?
Let’s ensure quality is engineered from the start.



