Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Instrumenting AUTOSAR for dependability assessment
T2 - A guidance framework
AU - Piper, T.
AU - Winter, S.
AU - Manns, P.
AU - Suri, Neeraj
PY - 2012/6/25
Y1 - 2012/6/25
N2 - The AUTOSAR standard guides the development of component-based automotive software. As automotive software typically implements safety-critical functions, it needs to fulfill high dependability requirements, and the effort put into the quality assurance of these systems is correspondingly high. Testing, fault injection (FI), and other techniques are employed for the experimental dependability assessment of these increasingly software-intensive systems. Having flexible and automated support for instrumentation is key in making these assessment techniques efficient. However, providing a usable, customizable and performant instrumentation for AUTOSAR is non-trivial due to the varied abstractions and high complexity of these systems. This paper develops a dependability assessment guidance framework tailored towards AUTOSAR that helps identify the applicability and effectiveness of instrumentation techniques at (a) varied levels of software abstraction and granularity, (b) at varied software access levels - black-box, grey-box, white-box, and (c) the application of interface wrappers for conducting FI. © 2012 IEEE.
AB - The AUTOSAR standard guides the development of component-based automotive software. As automotive software typically implements safety-critical functions, it needs to fulfill high dependability requirements, and the effort put into the quality assurance of these systems is correspondingly high. Testing, fault injection (FI), and other techniques are employed for the experimental dependability assessment of these increasingly software-intensive systems. Having flexible and automated support for instrumentation is key in making these assessment techniques efficient. However, providing a usable, customizable and performant instrumentation for AUTOSAR is non-trivial due to the varied abstractions and high complexity of these systems. This paper develops a dependability assessment guidance framework tailored towards AUTOSAR that helps identify the applicability and effectiveness of instrumentation techniques at (a) varied levels of software abstraction and granularity, (b) at varied software access levels - black-box, grey-box, white-box, and (c) the application of interface wrappers for conducting FI. © 2012 IEEE.
KW - AUTOSAR
KW - fault injection
KW - instrumentation
KW - interface wrappers
KW - run-time monitoring
KW - Assessment technique
KW - Automated support
KW - Automotive software
KW - AutoSAR
KW - Black boxes
KW - Component based
KW - Customizable
KW - Fault injection
KW - Grey-box
KW - Instrumentation techniques
KW - Non-trivial
KW - Runtime Monitoring
KW - Safety-critical functions
KW - Software abstractions
KW - Software intensive systems
KW - Abstracting
KW - C (programming language)
KW - Quality assurance
KW - Software testing
KW - Instruments
U2 - 10.1109/DSN.2012.6263913
DO - 10.1109/DSN.2012.6263913
M3 - Conference contribution/Paper
BT - IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)
PB - IEEE
ER -