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Please use this identifier to cite or link to this item: http://hdl.handle.net/1974/5524

Title: Identifying Crosscutting Concerns from Requirement Specifications - A Case Study
Authors: Li, GANG

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Keywords: Crosscutting Concerns
Aspect-Oriented Requirement Engineering
Issue Date: 2010
Series/Report no.: Canadian theses
Abstract: Aspect-Oriented Requirement Engineering (AORE) is an emerging software engineering paradigm with increasing attention from academic as well as industrial communities. AORE aims at the systematic identification, modularization, composition and analysis of crosscutting concerns that manifest in requirements. It is believed that systematically managing crosscutting concerns early on at the requirement engineering stage can provide valuable insight at the architecture design and implementation stages and can help identify and thus manage crosscutting concerns at these stages. Moreover, identifying crosscutting concerns in requirements can help to reveal the scope of each concern in a software system, to detect potential conflicts between concerns and to facilitate trade-off negotiation early on. Hundreds of papers regarding AORE have been published in AORE communities. However, few of them address crosscutting concerns in real world requirements. Whether the proposed AORE approaches are productive when applied to real world requirements is unknown. In this thesis, we conduct an AORE case study consisting of an experiment using a real world software requirement specification in order to examine how crosscutting concerns present in real world requirement documents, explore the difference between crosscutting concerns in requirements and crosscutting concerns in code, and reason whether identifying and thus managing crosscutting concerns from real world requirements is a productive practice.
Description: Thesis (Master, Computing) -- Queen's University, 2009-09-21 15:09:27.262
URI: http://hdl.handle.net/1974/5524
Appears in Collections:Queen's Graduate Theses and Dissertations
School of Computing Graduate Theses

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