research-article

Design for Sustainability = Runtime Adaptation ∪ Evolution

Authors:

Mauro Caporuscio,

Bahtijar Vogel,

Arianit KurtiAuthors Info & Claims

ECSAW '15: Proceedings of the 2015 European Conference on Software Architecture Workshops

Article No.: 62, Pages 1 - 7

https://doi.org/10.1145/2797433.2797497

Published: 07 September 2015 Publication History

Abstract

Continuous change changes everything; it introduces various uncertainties, which may harm the sustainability of software systems. We argue that integrating runtime adaptation and evolution is crucial for the sustainability of software systems. Realising this integration calls for a radical change in the way software is developed and operated. Our position is that we need to Design for Sustainability. To that end, we present: (i) the AdEpS model (Adaptation and Evolution processes for Sustainability) to handle and mitigate uncertainties by means of integrating runtime adaptation and evolution, and (ii) a set of engineering principles to design software systems that facilitate the application of the AdEpS model to build sustainable software.

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Weyns DBäck TVidal RYao XBelbachir A(2023)The vision of self-evolving computing systemsJournal of Integrated Design and Process Science10.3233/JID-22000326:3-4(351-367)Online publication date: 13-Oct-2023
https://doi.org/10.3233/JID-220003
Weyns DAndersson J(2023)From Self-Adaptation to Self-Evolution Leveraging the Operational Design Domain2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)10.1109/SEAMS59076.2023.00022(90-96)Online publication date: May-2023
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Design for Sustainability = Runtime Adaptation ∪ Evolution
1. Software and its engineering
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cover image ACM Other conferences

ECSAW '15: Proceedings of the 2015 European Conference on Software Architecture Workshops

September 2015

364 pages

ISBN:9781450333931

DOI:10.1145/2797433

General Chair:
Ivica Crnkovic

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 September 2015

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ECSAW '15: 2015 European Conference on Software Architecture Workshops

September 7 - 11, 2015

Cavtat, Dubrovnik, Croatia

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ECSAW '15 Paper Acceptance Rate 51 of 77 submissions, 66%;

Overall Acceptance Rate 80 of 120 submissions, 67%

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Dobaj JRiel AMacher GEgretzberger M(2023)Towards DevOps for Cyber-Physical Systems (CPSs): Resilient Self-Adaptive Software for Sustainable Human-Centric Smart CPS Facilitated by Digital TwinsMachines10.3390/machines1110097311:10(973)Online publication date: 19-Oct-2023
https://doi.org/10.3390/machines11100973
Weyns DBäck TVidal RYao XBelbachir A(2023)The vision of self-evolving computing systemsJournal of Integrated Design and Process Science10.3233/JID-22000326:3-4(351-367)Online publication date: 13-Oct-2023
https://doi.org/10.3233/JID-220003
Weyns DAndersson J(2023)From Self-Adaptation to Self-Evolution Leveraging the Operational Design Domain2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)10.1109/SEAMS59076.2023.00022(90-96)Online publication date: May-2023
https://doi.org/10.1109/SEAMS59076.2023.00022
Alasmari NCalinescu RPaterson CMirandola R(2022)Quantitative verification with adaptive uncertainty reductionJournal of Systems and Software10.1016/j.jss.2022.111275188:COnline publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1016/j.jss.2022.111275
Block L(2020)Managing software evolution in embedded automotive systems20. Internationales Stuttgarter Symposium10.1007/978-3-658-30995-4_48(557-571)Online publication date: 18-Aug-2020
https://doi.org/10.1007/978-3-658-30995-4_48
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Brand TGiese H(2019)Modeling Approach and Evaluation Criteria for Adaptable Architectural Runtime Model Instances2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS)10.1109/MODELS.2019.00006(227-232)Online publication date: Sep-2019
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