Automated Architecture-Based Verification of Safety-Critical Systems
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Safety-critical systems require high quality and dependability levels, where system correctness and safety are major features to avoid any severe outcome. Time and cost are also important challenges that are imposed during the development process. Describing the behavior of a system in a high level provides a realistic vision and anticipation of the system. This presents a valuable opportunity for verifying the system before wasting the intended resources to develop the system. Architecture Description Languages (ADLs) provide the ability to comprise and represent the system level details of components, interactions and configuration. Architecture Analysis and Design Language (AADL) as a family member of ADLs proved its effectiveness in designing software intensive systems. In this report, we present a case study to validate “An Architecture-Based Verification Technique for AADL Specifications”. The technique involves a combination of model checking and model-based testing approaches adapted to an architectural perspective. The objectives of the verification process are 1) to ensure completeness and consistency of an AADL specification, and 2) to ensure conformance of an implementation with respect to its AADL specification. The technique has only been applied to small examples, and the goal of this thesis work is to validate it against a safety-critical system developed by a major vehicle manufacturer. Validation of the technique begins by investigating the system and specifying it in AADL. The defined verification criteria are subsequently applied to the AADL specification which drives the verification process. The case study presents interesting results while performing the model checking (the completeness and consistency checking). Conformance testing, on the other hand, could not be performed on the implemented system but is an interesting topic for future work.
Place, publisher, year, edition, pages
2011. , 92 p.
architecture-based verification, software-intensive systems, uppaal, modelling and verification, aadl, Fuel Level Estimation System
Engineering and Technology
IdentifiersURN: urn:nbn:se:mdh:diva-25207OAI: oai:DiVA.org:mdh-25207DiVA: diva2:723310
Subject / course
2012-02-03, Gamma, Högskoleplan 1, U Hus, Västerås, 09:25 (English)
Lundqvist, Kristina, Prof.