Software Reliability Growth Models Predict Autonomous Vehicle Disengagement Events

12/21/2018
by   Robert Merkel, et al.
0

The acceptance of autonomous vehicles is dependent on the rigorous assessment of their safety. Furthermore, the commercial viability of AV programs depends on the ability to estimate the time and resources required to achieve desired safety levels. Naive approaches to estimating the reliability and safety levels of autonomous vehicles under development are will require infeasible amounts of testing of a static vehicle configuration. To permit both the estimation of current safety, and make predictions about the reliability of future systems, I propose the use of a standard tool for modelling the reliability of evolving software systems, software reliability growth models (SRGMs). Publicly available data from Californian public-road testing of two autonomous vehicle systems is modelled using two of the best-known SRGMs. The ability of the models to accurately estimate current reliability, as well as for current testing data to predict reliability in the future after additional testing, is evaluated. One of the models, the Musa-Okumoto model, appears to be a good estimator and a reasonable predictor.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/19/2019

Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing

There is an urgent societal need to assess whether autonomous vehicles (...
research
07/01/2019

Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors

Fully autonomous vehicles (AVs), i.e., AVs with autonomy level 5, are ex...
research
02/16/2022

Estimating Software Reliability Using Size-biased Modelling

Software reliability estimation is one of most active area of research i...
research
02/02/2021

Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles

Artificial intelligence (AI) systems have become increasingly common and...
research
08/19/2020

Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles

Context: Demonstrating high reliability and safety for safety-critical s...
research
07/31/2022

The Unnecessity of Assuming Statistically Independent Tests in Bayesian Software Reliability Assessments

When assessing a software-based system, the results of statistical infer...
research
03/07/2021

Coverage based testing for V V and Safety Assurance of Self-driving Autonomous Vehicles: A Systematic Literature Review

Self-driving Autonomous Vehicles (SAVs) are gaining more interest each p...

Please sign up or login with your details

Forgot password? Click here to reset