EA-Analyzer:automating conflict detection in aspect-oriented requirements

Sardinha, Alberto and Chitchyan, Ruzanna and Weston, Nathan and Rashid, Awais (2009) EA-Analyzer:automating conflict detection in aspect-oriented requirements. In: Automated Software Engineering, 2009. ASE '09. 24th IEEE/ACM International Conference on. IEEE Publishing, NZL, pp. 530-534. ISBN 978-1-4244-5259-0

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Abstract

One of the aims of aspect-oriented requirements engineering is to address the composability and subsequent analysis of crosscutting and non-crosscutting concerns during requirements engineering. Composing concerns may help to reveal conflicting dependencies that need to be identified and resolved. However, detecting conflicts in a large set of textual aspect-oriented requirements is an error-prone and time-consuming task. This paper presents EA-analyzer, the first automated tool for identifying conflicts in aspect-oriented requirements specified in natural-language text. The tool is based on a novel application of a Bayesian learning method that has been effective at classifying text. We present an empirical evaluation of the tool with three industrial-strength requirements documents from different real-life domains. We show that the tool achieves up to 92.97% accuracy when one of the case study documents is used as a training set and the other two as a validation set.

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
ID Code:
51108
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Deposited On:
04 Nov 2011 16:50
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 05:26