On the Effectiveness of Abstraction Identification in Requirements Engineering

Ricardo Gacitua; Peter Sawyer; Vincenzo Gervasi

doi:10.1109/RE.2010.12

On the Effectiveness of Abstraction Identification in Requirements Engineering

Ricardo Gacitua, Peter Sawyer, Vincenzo Gervasi

College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Conference publication

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.

Original language	English
Title of host publication	RE '10: Proceedings of the 2010 18th IEEE International Requirements Engineering Conference
Publisher	IEEE
Pages	5-14
Number of pages	10
ISBN (Print)	978-1-4244-8022-7
DOIs	https://doi.org/10.1109/RE.2010.12
Publication status	Published - 2010
Event	2010 18th IEEE International Requirements Engineering Conference (RE) - Sydney, Australia Duration: 17 Sept 2010 → 1 Oct 2010

Conference

Conference	2010 18th IEEE International Requirements Engineering Conference (RE)
Country/Territory	Australia
City	Sydney
Period	17/09/10 → 1/10/10

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10.1109/RE.2010.12

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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",

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AU - Gacitua, Ricardo

AU - Sawyer, Peter

AU - Gervasi, Vincenzo

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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.

UR - http://ieeexplore.ieee.org/document/5636629/

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DO - 10.1109/RE.2010.12

M3 - Conference publication

SN - 978-1-4244-8022-7

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

PB - IEEE

T2 - 2010 18th IEEE International Requirements Engineering Conference (RE)

Y2 - 17 September 2010 through 1 October 2010

ER -

On the Effectiveness of Abstraction Identification in Requirements Engineering

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