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Regression verification of AADL models through slicing of system dependence graphs
Mälardalen University, School of Innovation, Design and Engineering. Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (IS)ORCID iD: 0000-0003-1844-7874
Mälardalen University, School of Innovation, Design and Engineering. Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (IS)ORCID iD: 0000-0003-0904-3712
Mälardalen University, School of Innovation, Design and Engineering. Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (IS)ORCID iD: 0000-0003-4040-3480
Mälardalen University, School of Innovation, Design and Engineering. Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (IS)ORCID iD: 0000-0003-0757-822X
2014 (English)In: QoSA 2014 - Proceedings of the 10th International ACM SIGSOFT Conference on Quality of Software Architectures (Part of CompArch 2014), 2014, p. 103-112Conference paper, Published paper (Refereed)
Abstract [en]

Design artifacts of embedded systems are subjected to a number of modifications during the development process. Verified artifacts that subsequently are modified must nec- essarily 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 Architec- ture Analysis and Design Language (AADL). The technique can be used with any AADL-based verification technique to eficiently perform regression verification by only selecting verification sequences that cover parts that are afiected by the modification for re-execution. This allows for the avoid- ance 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 efiect of a modification can be identified.

Place, publisher, year, edition, pages
2014. p. 103-112
National Category
Computer Systems Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-25739DOI: 10.1145/2602576.2602589Scopus ID: 2-s2.0-84904459914ISBN: 9781450325769 (print)OAI: oai:DiVA.org:mdh-25739DiVA, id: diva2:735862
Conference
10th International ACM SIGSOFT Conference on Quality of Software Architectures, QoSA 2014; Marcq-en-Baroeul; France; 30 June 2014 through 4 July 2014
Available from: 2014-08-01 Created: 2014-08-01 Last updated: 2018-01-11Bibliographically approved
In thesis
1. Quality Assurance for Dependable Embedded Systems
Open this publication in new window or tab >>Quality Assurance for Dependable Embedded Systems
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Architectural engineering of embedded computer systems comprehensively affects both the development processes and the abilities of the systems. Rigorous and holistic verification of architectural engineering is consequently essential in the development of safety-critical and mission-critical embedded systems, such as computer systems within aviation, automotive, and railway transportation, where even minor architectural defects may cause substantial cost and devastating harm. The increasing complexity of embedded systems renders this challenge unmanageable without the support of automated methods of verification, to reduce the cost of labor and the risk of human error.

The contribution of this thesis is an Architecture Quality Assurance Framework (AQAF) and a corresponding tool support, the Architecture Quality Assurance Tool (AQAT). AQAF provides a rigorous, holistic, and automated solution to the verification of critical embedded systems architectural engineering, from requirements analysis and design to implementation and maintenance. A rigorous and automated verification across the development process is achieved through the adaption and integration of formal methods to architectural engineering. The framework includes an architectural model checking technique for the detection of design faults, an architectural model-based test suite generation technique for the detection of implementation faults, and an architectural selective regression verification technique for an efficient detection of faults introduced by maintenance modifications.

An integrated solution provides traceability and coherency between the verification processes and the different artifacts under analysis, which is essential for obtaining reliable results, for meeting certification provisions, and for performing impact analyses of maintenance modifications. The Architecture Quality Assurance Tool (AQAT) implements the theory of AQAF and enables an effortless adoption into industrial practices. Empirical results from an industrial study present a high fault detection rate at both the design level and the implementation level as well as an efficient selective regression verification process. Furthermore, the results of a scalability evaluation show that the solution is scalable to complex many-core embedded systems with multithreading.

Place, publisher, year, edition, pages
Västerås: Mälardalen University Press, 2018
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 252
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-37458 (URN)978-91-7485-372-8 (ISBN)
Public defence
2018-01-26, Gamma, Mälardalens högskola, Västerås, 13:00 (English)
Opponent
Supervisors
Available from: 2017-12-18 Created: 2017-12-15 Last updated: 2018-01-10Bibliographically approved

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Johnsen, AndreasKristina, LundqvistPettersson, PaulHänninen, Kaj

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