research-article

Modular verification of dynamically adaptive systems

Authors:

Heather J. Goldsby,

Betty H.C. ChengAuthors Info & Claims

AOSD '09: Proceedings of the 8th ACM international conference on Aspect-oriented software development

Pages 161 - 172

https://doi.org/10.1145/1509239.1509262

Published: 02 March 2009 Publication History

Abstract

Cyber-physical systems increasingly rely on dynamically adaptive programs to respond to changes in their physical environment; examples include ecosystem monitoring and disaster relief systems. These systems are considered high-assurance since errors during execution could result in injury, loss of life, environmental impact, and/or financial loss. In order to facilitate the development and verification of dynamically adaptive systems, we separate functional concerns from adaptive concerns. Specifically, we model a dynamically adaptive program as a collection of (non-adaptive) steady-state programs and a set of adaptations that realize transitions among steady state programs in response to environmental changes. We use Linear Temporal Logic (LTL) to specify properties of the non-adaptive portions of the system, and we use A-LTL (an adapt-operator extension toLTL) to concisely specify properties that hold during the adaptation process. Model checking offers an attractive approach to automatically analyzing models for adherence to formal properties and thus providing assurance. However, currently, model checkers are unable to verify properties specified using A-LTL. Moreover, as the number of steady-state programs and adaptations increase, the verification costs (in terms of space and time) potentially become unwieldy. To address these issues, we propose a modular model checking approach to verifying that a formal model of an adaptive program satisfies its requirements specified in LTL and A-LTL, respectively.

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Modular verification of dynamically adaptive systems

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Published In

cover image ACM Conferences

AOSD '09: Proceedings of the 8th ACM international conference on Aspect-oriented software development

March 2009

278 pages

ISBN:9781605584423

DOI:10.1145/1509239

General Chair:
Kevin Sullivan
University of Virginia, USA
,
Organizing Chair:
Jeff Gray
Univ. of Alabama at Birmingham, USA
,
Program Chairs:
Ana Moreira
Universidade Nova de Lisboa, Portugal
,
Christa Schwanninger
Siemens AG, Germany
,
Robert Baillargeon
Panasonic Automotive Systems, USA
,
Mark Grechanik
Accenture, USA

Copyright © 2009 ACM.

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Published: 02 March 2009

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AOSD '09

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AOSD '09: Eighth International Conference on Aspect-Oriented Software Development

March 2 - 6, 2009

Virginia, Charlottesville, USA

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Weyns DGheibi OQuin FVan Der Donckt J(2022)Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive SystemsACM Transactions on Autonomous and Adaptive Systems10.1145/353019217:1-2(1-42)Online publication date: 29-Jul-2022
https://dl.acm.org/doi/10.1145/3530192
Pabitwar SSadagopan VJoshi PJha S(2022)Industrial Application of Augmented Reality: Maintenance of Multi-process Robotic CellIndustry 4.0 and Advanced Manufacturing10.1007/978-981-19-0561-2_8(81-90)Online publication date: 24-Jul-2022
https://doi.org/10.1007/978-981-19-0561-2_8
Bresolin DLanese I(2021)Static and dynamic property-preserving updatesInformation and Computation10.1016/j.ic.2020.104611279(104611)Online publication date: Aug-2021
https://doi.org/10.1016/j.ic.2020.104611
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