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Experience Report: Evaluating Fault Detection Effectiveness and Resource Efficiency of the Architecture Quality Assurance Framework and Tool

Publication Type:

Conference/Workshop Paper

Venue:

The 28th International Symposium on Software Reliability Engineering (ISSRE) - IEEE


Abstract

The Architecture Quality Assurance Framework (AQAF) is a theory developed to provide a holistic and formal verification process for architectural engineering of critical embedded systems. AQAF encompasses integrated architecture model checking, model-based testing, and selective regression verification techniques to achieve this goal. The Architecture Quality Assurance Tool (AQAT) implements the theory of AQAF and enables automated application of the framework. In this paper, we present an evaluation of AQAT and the underlying AQAF theory by means of an industrial case study, where resource efficiency and fault detection effectiveness are the targeted properties of evaluation. The method of fault injection is utilized to guarantee coverage of fault types and to generate a data sample size adequate for statistical analysis. We discovered important areas of improvement in this study, which required further development of the framework before satisfactory results could be achieved. The final results present a 100% fault detection rate at the design level, a 98.5% fault detection rate at the implementation level, and an average increased efficiency of 6.4% with the aid of the selective regression verification technique.

Bibtex

@inproceedings{Johnsen4816,
author = {Andreas Johnsen and Kristina Lundqvist and Kaj H{\"a}nninen and Paul Pettersson and Martin Torelm},
title = {Experience Report: Evaluating Fault Detection Effectiveness and Resource Efficiency of the Architecture Quality Assurance Framework and Tool},
month = {October},
year = {2017},
booktitle = {The 28th International Symposium on Software Reliability Engineering (ISSRE) - IEEE},
url = {http://www.es.mdh.se/publications/4816-}
}