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Project: Automated regression system

Background: 

The task was to realise a fully automated regression system fitting in all parts of existing CI (Continuous Integration) model. The device under test was a T&M device connected via RF cables to a reference mobile phone. The C++ testcase executed on T&M device created test scenarios for various purposes. The regression system tasks: installation of new builds created by a Jenkins job, remote process control, execution flow control, result analysis, logs generation, reporting.   

Challenge: 

Customer SW environment very heterogeneous, multiple regression system running in parallel, robustness of the system with state recovery fall back.  

Keywords: 

Jenkins, RTC, Artifactory, C++, Python, wxPython, Matlab, VISA, SOAP

Results: 

We successfully designed and implemented solution based on customer requirements and still maintaining 20+ regression setups being the major verification and validation aspect for the quality assurance of the T&M device. 


Project: Advanced Driver System 

Background: 

We participated with our engineers in a HW product development using the MotionWise SW platform for Automated Driving.

Challenge: 

Definition of image processing related architecture topics (GPU sharing, GPU scheduling, usage & SW interface to video interfaces) with development of a (time-triggered) task scheduling architecture on NVIDIA’s Tegra K1

Keywords:

C++, CUDA, Python

Results:

Successful realisation for first generation HW platform for automated driving for one of the leading automobile industry player.


Project: Scenario Development for LTA-Advanced features

Background:

Test cases development in C++ in customer specific library providing API for LTE-A protocol stack and L1. Verification of the scenarios was done with selected mobile phone (prototypes) or within a simulated environment.

Challenge:

Implementation of 3GPP specification into C++ scenarios under consideration of system dependencies of the customer’s product.  

Keywords:

3GPP LTE L2, L3, L1, C++, Python

Results:

In time delivery of required testcases with proved functionality.


Project: V2V (Vehicle-to-vehicle) standard implementation into UE-RRC layer

Background: 

Vehicle-to-vehicle (V2V) is an automobile technology designed to allow automobiles to "talk" to each other. V2V communications form a wireless ad hoc network on the roads. Challenge:

Challenges:

The goal was to implemented the V2V (ETSI-ITS-G5) functionalities into the existing virtual mobile phone project.

Keywords:

ETSI-ITS-G5, C++, C, Python, Jenkins

Results:

The requested V2V requirements were verified in the simulated and virtual environment. 

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