A UML profile for automatic code generation of optimistic graceful degradation features at the application level

Autor(en): Huning, L.
Iyenghar, P.
Pulvermueller, E. 
Herausgeber: Hammoudi, S.
Pires, L.F.
Selic, B.
Stichwörter: Adaptive Systems; Automatic programming; Code Generation; Embedded software; Embedded Software Engineering; Embedded Systems; Functional Safety; Graceful Degradation; Model driven development; Model representation; Model-Driven Development; Safety critical systems; Safety engineering; Systems analysis, Automatic code generations; UML class diagrams, Software design
Erscheinungsdatum: 2020
Herausgeber: SciTePress
Journal: MODELSWARD 2020 - Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development
Startseite: 336
Seitenende: 343
Zusammenfassung: 
Safety standards such as ISO26262 or IEC61508 recommend a variety of safety mechanisms for the development of safety-critical systems. One of these mechanisms is graceful degradation, which aims to provide a degraded service of an application after an error has occurred. While several safety standards recommend graceful degradation, they do not provide any concrete development or implementation assistance. This paper employs model-driven development to realize such an automated approach for optimistic graceful degradation, which is a specific variant of the graceful degradation safety mechanism. We introduce a UML profile that may be used to model optimistic graceful degradation at the application level within a UML class diagram. We leverage this model representation to automatically generate productive source code that is capable of optimistic graceful degradation. This source code is generated without requiring any additional developer actions. Copyright © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
Beschreibung: 
Conference of 8th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2020 ; Conference Date: 25 February 2020 Through 27 February 2020; Conference Code:158681
ISBN: 9789897584008
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082988781&partnerID=40&md5=4288c26ef88d5059bcb406e89afaf8c3

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