Home > Research > Publications & Outputs > Visualizing the Analysis of Dynamically Adaptiv...

Research

Links

Text available via DOI:

View graph of relations

Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

Standard

Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs. / Sawyer, Peter; Bencomo, Nelly; Hughes, Danny et al.
Requirements Engineering Visualization, 2007. REV 2007. Second International Workshop on. Washington, DC, USA: IEEE Computer Society, 2007. p. 3.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Sawyer, P, Bencomo, N, Hughes, D, Grace, P, Goldsby, HJ & Cheng, BHC 2007, Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs. in Requirements Engineering Visualization, 2007. REV 2007. Second International Workshop on. IEEE Computer Society, Washington, DC, USA, pp. 3. https://doi.org/10.1109/REV.2007.10

APA

Sawyer, P., Bencomo, N., Hughes, D., Grace, P., Goldsby, H. J., & Cheng, B. H. C. (2007). Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs. In Requirements Engineering Visualization, 2007. REV 2007. Second International Workshop on (pp. 3). IEEE Computer Society. https://doi.org/10.1109/REV.2007.10

Vancouver

Sawyer P, Bencomo N, Hughes D, Grace P, Goldsby HJ, Cheng BHC. Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs. In Requirements Engineering Visualization, 2007. REV 2007. Second International Workshop on. Washington, DC, USA: IEEE Computer Society. 2007. p. 3 doi: 10.1109/REV.2007.10

Author

Sawyer, Peter ; Bencomo, Nelly ; Hughes, Danny et al. / Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs. Requirements Engineering Visualization, 2007. REV 2007. Second International Workshop on. Washington, DC, USA : IEEE Computer Society, 2007. pp. 3

Bibtex

@inproceedings{c39b3d4c2c3648859e79a14d3ed603c7,
title = "Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs",
abstract = "Self-adaptation is emerging as a crucial enabling capability for many applications, particularly those deployed in dynamically changing environments. One key challenge posed by dynamically adaptive systems (DASs) is the need to handle changes to the requirements and corresponding behavior of a DAS in response to varying environmental conditions. In this paper we propose a visual model-driven approach that uses the i* modeling language to represent goal models for the DAS requirements. Our approach applies a rigorous separation of concerns between the requirements for the DAS to operate in stable conditions and those that enable it to adapt at run-time to enable it to cope with changes in its environment. We further show how requirements derived from the i* modeling can be used by a domain-specific language to achieve requirements model-driven development. We describe our experiences with applying this approach to GridStix, an adaptive flood warning system, deployed on the River Ribble in North Yorkshire, England.",
author = "Peter Sawyer and Nelly Bencomo and Danny Hughes and Paul Grace and Goldsby, {Heather J.} and Cheng, {Betty H. C.}",
year = "2007",
doi = "10.1109/REV.2007.10",
language = "English",
isbn = "978-0-7695-3248-6",
pages = "3",
booktitle = "Requirements Engineering Visualization, 2007. REV 2007. Second International Workshop on",
publisher = "IEEE Computer Society",

}

RIS

TY - GEN

T1 - Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs

AU - Sawyer, Peter

AU - Bencomo, Nelly

AU - Hughes, Danny

AU - Grace, Paul

AU - Goldsby, Heather J.

AU - Cheng, Betty H. C.

PY - 2007

Y1 - 2007

N2 - Self-adaptation is emerging as a crucial enabling capability for many applications, particularly those deployed in dynamically changing environments. One key challenge posed by dynamically adaptive systems (DASs) is the need to handle changes to the requirements and corresponding behavior of a DAS in response to varying environmental conditions. In this paper we propose a visual model-driven approach that uses the i* modeling language to represent goal models for the DAS requirements. Our approach applies a rigorous separation of concerns between the requirements for the DAS to operate in stable conditions and those that enable it to adapt at run-time to enable it to cope with changes in its environment. We further show how requirements derived from the i* modeling can be used by a domain-specific language to achieve requirements model-driven development. We describe our experiences with applying this approach to GridStix, an adaptive flood warning system, deployed on the River Ribble in North Yorkshire, England.

AB - Self-adaptation is emerging as a crucial enabling capability for many applications, particularly those deployed in dynamically changing environments. One key challenge posed by dynamically adaptive systems (DASs) is the need to handle changes to the requirements and corresponding behavior of a DAS in response to varying environmental conditions. In this paper we propose a visual model-driven approach that uses the i* modeling language to represent goal models for the DAS requirements. Our approach applies a rigorous separation of concerns between the requirements for the DAS to operate in stable conditions and those that enable it to adapt at run-time to enable it to cope with changes in its environment. We further show how requirements derived from the i* modeling can be used by a domain-specific language to achieve requirements model-driven development. We describe our experiences with applying this approach to GridStix, an adaptive flood warning system, deployed on the River Ribble in North Yorkshire, England.

U2 - 10.1109/REV.2007.10

DO - 10.1109/REV.2007.10

M3 - Conference contribution/Paper

SN - 978-0-7695-3248-6

SP - 3

BT - Requirements Engineering Visualization, 2007. REV 2007. Second International Workshop on

PB - IEEE Computer Society

CY - Washington, DC, USA

ER -