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Regression Verification of AADL Models through Slicing of System Dependence Graphs

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

Tenth International ACM Sigsoft Conference on the Quality of Software Architectures

Publisher:

ACM

DOI:

10.1145/2602576.2602589


Abstract

Design artifacts of embedded systems are subjected to a number of modifications during the development process. Verified artifacts that subsequently are modified must necessarily be re-verified to ensure that no faults have been introduced in response to the modification. We collectively call this type of verification as regression verification. In this paper, we contribute with a technique for selective regression verification of embedded systems modeled in the Architecture Analysis and Design Language (AADL). The technique can be used with any AADL-based verification technique to efficiently perform regression verification by only selecting verification sequences that cover parts that are affected by the modification for re-execution. This allows for the avoidance of unnecessary re-verification, and thereby unnecessary costs. The selection is based on the concept of specification slicing through system dependence graphs (SDGs) such that the effect of a modification can be identified.

Bibtex

@inproceedings{Johnsen3535,
author = {Andreas Johnsen and Kristina Lundqvist and Paul Pettersson and Kaj H{\"a}nninen},
title = {Regression Verification of AADL Models through Slicing of System Dependence Graphs},
isbn = {978-1-4503-2576-9},
pages = {103--112},
month = {June},
year = {2014},
booktitle = {Tenth International ACM Sigsoft Conference on the Quality of Software Architectures },
publisher = {ACM},
url = {http://www.es.mdh.se/publications/3535-}
}