Validation of Software Testing Results for Real-Time Vehicle Control Software

1995 ◽  
Author(s):  
James B. Michael ◽  
Andrew C. Segal ◽  
Satyajit Patwardhan
Keyword(s):  
Software Testing ◽  
Real Time ◽  
Vehicle Control ◽  
Control Software

scholarly journals Automated Search-Based Robustness Testing for Autonomous Vehicle Software

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Kevin M. Betts ◽  
Mikel D. Petty
Keyword(s):  
Monte Carlo ◽  
Performance Metrics ◽  
Initial Conditions ◽  
Autonomous Vehicle ◽  
Vehicle Control ◽  
Test Case ◽  
Test Cases ◽  
Control Software ◽  
Robustness Testing ◽  
Testing Techniques

Autonomous systems must successfully operate in complex time-varying spatial environments even when dealing with system faults that may occur during a mission. Consequently, evaluating the robustness, or ability to operate correctly under unexpected conditions, of autonomous vehicle control software is an increasingly important issue in software testing. New methods to automatically generate test cases for robustness testing of autonomous vehicle control software in closed-loop simulation are needed. Search-based testing techniques were used to automatically generate test cases, consisting of initial conditions and fault sequences, intended to challenge the control software more than test cases generated using current methods. Two different search-based testing methods, genetic algorithms and surrogate-based optimization, were used to generate test cases for a simulated unmanned aerial vehicle attempting to fly through an entryway. The effectiveness of the search-based methods in generating challenging test cases was compared to both a truth reference (full combinatorial testing) and the method most commonly used today (Monte Carlo testing). The search-based testing techniques demonstrated better performance than Monte Carlo testing for both of the test case generation performance metrics: (1) finding the single most challenging test case and (2) finding the set of fifty test cases with the highest mean degree of challenge.

The LBT real-time based control software to mitigate and compensate vibrations

2010 ◽  
Author(s):  
J. Borelli ◽  
J. Trowitzsch ◽  
M. Brix ◽  
M. Kürster ◽  
W. Gässler ◽  
...  
Keyword(s):  
Real Time ◽  
Control Software

A Model-Based Toolchain to Verify Spatial Behavior of Cyber-Physical Systems

2016 ◽  
Vol 13 (1) ◽  
pp. 40-52 ◽  
Author(s):  
Peter Herrmann ◽  
Jan Olaf Blech ◽  
Fenglin Han ◽  
Heinz Schmidt
Keyword(s):  
Real Time ◽  
Physical Environment ◽  
Spatial Model ◽  
Physical Space ◽  
Cyber Physical Systems ◽  
Spatial Behavior ◽  
Model Checker ◽  
Control Software ◽  
Physical Systems ◽  
Model Based

A method preserving cyber-physical systems to operate safely in a joint physical space is presented. It comprises the model-based development of the control software and simulators for the continuous physical environment as well as proving the models for spatial and real-time properties. The corresponding toolchain is based on the model-based engineering tool Reactive Blocks and the spatial model checker BeSpaceD. The real-time constraints to be kept by the controller are proven using the model checker UPPAAL.

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