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Modelling adaptability and variability in requirements

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Modelling adaptability and variability in requirements. / Greenwood, Phil; Chitchyan, Ruzanna; Rashid, Awais; Noppen, Joost; Fleurey, Franck; Solberg, Arnor.

19th IEEE International Requirements Engineering Conference, RE 2011. IEEE, 2011. p. 343-344.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Greenwood, P, Chitchyan, R, Rashid, A, Noppen, J, Fleurey, F & Solberg, A 2011, Modelling adaptability and variability in requirements. in 19th IEEE International Requirements Engineering Conference, RE 2011. IEEE, pp. 343-344. https://doi.org/10.1109/RE.2011.6051667

APA

Greenwood, P., Chitchyan, R., Rashid, A., Noppen, J., Fleurey, F., & Solberg, A. (2011). Modelling adaptability and variability in requirements. In 19th IEEE International Requirements Engineering Conference, RE 2011 (pp. 343-344). IEEE. https://doi.org/10.1109/RE.2011.6051667

Vancouver

Greenwood P, Chitchyan R, Rashid A, Noppen J, Fleurey F, Solberg A. Modelling adaptability and variability in requirements. In 19th IEEE International Requirements Engineering Conference, RE 2011. IEEE. 2011. p. 343-344 https://doi.org/10.1109/RE.2011.6051667

Author

Greenwood, Phil ; Chitchyan, Ruzanna ; Rashid, Awais ; Noppen, Joost ; Fleurey, Franck ; Solberg, Arnor. / Modelling adaptability and variability in requirements. 19th IEEE International Requirements Engineering Conference, RE 2011. IEEE, 2011. pp. 343-344

Bibtex

@inproceedings{36a3c91915a149459ef9f3e6a67f21ae,
title = "Modelling adaptability and variability in requirements",
abstract = "The requirements and design level identification and representation of dynamic variability for adaptive systems is a challenging task. This requires time and effort to identify and model the relevant elements as well as the need to consider the large number of potentially possible system configurations. Typically, each individual variability dimension needs to identified and modelled by enumerating each possible alternative. The full set of requirements needs to be reviewed to extract all potential variability dimensions. Moreover, each possible configuration of an adaptive system needs to be validated before use. In this demonstration, we present a tool suite that is able to manage dynamic variability in adaptive systems and tame such system complexity. This tool suite is able to automatically identify dynamic variability attributes such as variability dimensions, context, adaptation rules, and soft/hard goals from requirements documents. It also supports modelling of these artefacts as well as their run-time verification and validation.",
author = "Phil Greenwood and Ruzanna Chitchyan and Awais Rashid and Joost Noppen and Franck Fleurey and Arnor Solberg",
year = "2011",
doi = "10.1109/RE.2011.6051667",
language = "English",
isbn = "9781457709210",
pages = "343--344",
booktitle = "19th IEEE International Requirements Engineering Conference, RE 2011",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Modelling adaptability and variability in requirements

AU - Greenwood, Phil

AU - Chitchyan, Ruzanna

AU - Rashid, Awais

AU - Noppen, Joost

AU - Fleurey, Franck

AU - Solberg, Arnor

PY - 2011

Y1 - 2011

N2 - The requirements and design level identification and representation of dynamic variability for adaptive systems is a challenging task. This requires time and effort to identify and model the relevant elements as well as the need to consider the large number of potentially possible system configurations. Typically, each individual variability dimension needs to identified and modelled by enumerating each possible alternative. The full set of requirements needs to be reviewed to extract all potential variability dimensions. Moreover, each possible configuration of an adaptive system needs to be validated before use. In this demonstration, we present a tool suite that is able to manage dynamic variability in adaptive systems and tame such system complexity. This tool suite is able to automatically identify dynamic variability attributes such as variability dimensions, context, adaptation rules, and soft/hard goals from requirements documents. It also supports modelling of these artefacts as well as their run-time verification and validation.

AB - The requirements and design level identification and representation of dynamic variability for adaptive systems is a challenging task. This requires time and effort to identify and model the relevant elements as well as the need to consider the large number of potentially possible system configurations. Typically, each individual variability dimension needs to identified and modelled by enumerating each possible alternative. The full set of requirements needs to be reviewed to extract all potential variability dimensions. Moreover, each possible configuration of an adaptive system needs to be validated before use. In this demonstration, we present a tool suite that is able to manage dynamic variability in adaptive systems and tame such system complexity. This tool suite is able to automatically identify dynamic variability attributes such as variability dimensions, context, adaptation rules, and soft/hard goals from requirements documents. It also supports modelling of these artefacts as well as their run-time verification and validation.

U2 - 10.1109/RE.2011.6051667

DO - 10.1109/RE.2011.6051667

M3 - Conference contribution/Paper

SN - 9781457709210

SP - 343

EP - 344

BT - 19th IEEE International Requirements Engineering Conference, RE 2011

PB - IEEE

ER -