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On the Effectiveness of Abstraction Identification in Requirements Engineering

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On the Effectiveness of Abstraction Identification in Requirements Engineering. / Gacitua, Ricardo; Sawyer, Peter; Gervasi, Vincenzo.
RE '10: Proceedings of the 2010 18th IEEE International Requirements Engineering Conference. Washington, DC, USA: IEEE Computer Society, 2010. p. 5-14.

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

Harvard

Gacitua, R, Sawyer, P & Gervasi, V 2010, On the Effectiveness of Abstraction Identification in Requirements Engineering. in RE '10: Proceedings of the 2010 18th IEEE International Requirements Engineering Conference. IEEE Computer Society, Washington, DC, USA, pp. 5-14. https://doi.org/10.1109/RE.2010.12

APA

Gacitua, R., Sawyer, P., & Gervasi, V. (2010). On the Effectiveness of Abstraction Identification in Requirements Engineering. In RE '10: Proceedings of the 2010 18th IEEE International Requirements Engineering Conference (pp. 5-14). IEEE Computer Society. https://doi.org/10.1109/RE.2010.12

Vancouver

Gacitua R, Sawyer P, Gervasi V. On the Effectiveness of Abstraction Identification in Requirements Engineering. In RE '10: Proceedings of the 2010 18th IEEE International Requirements Engineering Conference. Washington, DC, USA: IEEE Computer Society. 2010. p. 5-14 doi: 10.1109/RE.2010.12

Author

Gacitua, Ricardo ; Sawyer, Peter ; Gervasi, Vincenzo. / On the Effectiveness of Abstraction Identification in Requirements Engineering. RE '10: Proceedings of the 2010 18th IEEE International Requirements Engineering Conference. Washington, DC, USA : IEEE Computer Society, 2010. pp. 5-14

Bibtex

@inproceedings{2b45ccb3682d4de4b55db2c427edf492,
title = "On the Effectiveness of Abstraction Identification in Requirements Engineering",
abstract = "The identification of abstractions, i.e. terms that have a particular significance in a given domain, and such that they can indirectly characterize the most salient features of the document in which they appear, has often been recognized as a useful tool in the analysis of domain descriptions and requirements documents in software development. In this paper we propose a new technique for the identification of single- and multi-word abstractions named Relevance driven abstraction identification (RAI) and a corresponding tool implementation, present an experiment comparing the effectiveness of our technique with human judgement and with a different technique proposed in the literature, and discuss a number of ways in which the abstractions so identified can be used to good profit in requirements engineering.",
author = "Ricardo Gacitua and Peter Sawyer and Vincenzo Gervasi",
year = "2010",
doi = "10.1109/RE.2010.12",
language = "English",
isbn = "978-1-4244-8022-7",
pages = "5--14",
booktitle = "RE '10: Proceedings of the 2010 18th IEEE International Requirements Engineering Conference",
publisher = "IEEE Computer Society",

}

RIS

TY - GEN

T1 - On the Effectiveness of Abstraction Identification in Requirements Engineering

AU - Gacitua, Ricardo

AU - Sawyer, Peter

AU - Gervasi, Vincenzo

PY - 2010

Y1 - 2010

N2 - The identification of abstractions, i.e. terms that have a particular significance in a given domain, and such that they can indirectly characterize the most salient features of the document in which they appear, has often been recognized as a useful tool in the analysis of domain descriptions and requirements documents in software development. In this paper we propose a new technique for the identification of single- and multi-word abstractions named Relevance driven abstraction identification (RAI) and a corresponding tool implementation, present an experiment comparing the effectiveness of our technique with human judgement and with a different technique proposed in the literature, and discuss a number of ways in which the abstractions so identified can be used to good profit in requirements engineering.

AB - The identification of abstractions, i.e. terms that have a particular significance in a given domain, and such that they can indirectly characterize the most salient features of the document in which they appear, has often been recognized as a useful tool in the analysis of domain descriptions and requirements documents in software development. In this paper we propose a new technique for the identification of single- and multi-word abstractions named Relevance driven abstraction identification (RAI) and a corresponding tool implementation, present an experiment comparing the effectiveness of our technique with human judgement and with a different technique proposed in the literature, and discuss a number of ways in which the abstractions so identified can be used to good profit in requirements engineering.

U2 - 10.1109/RE.2010.12

DO - 10.1109/RE.2010.12

M3 - Conference contribution/Paper

SN - 978-1-4244-8022-7

SP - 5

EP - 14

BT - RE '10: Proceedings of the 2010 18th IEEE International Requirements Engineering Conference

PB - IEEE Computer Society

CY - Washington, DC, USA

ER -