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Applying a selection method to choose Quality Attribute Techniques

delete2013-08-01
delete9
PRE
AI
Y
Yin Kia Chiam *
M
Mark Staples
X
Xin Ye
L
Liming Zhu
DOI:10.1016/j.infsof.2013.02.001delete
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摘要

摘要

En 中文
Context: Software products have requirements on software quality attributes such as safety and performance. Development teams use various specific techniques to achieve these quality requirements. We call these Quality Attribute Techniques (QATs). QATs are used to identify, analyse and control potential product quality problems. Although QATs are widely used in practice, there is no systematic approach to represent, select, and integrate them in existing approaches to software process modelling and tailoring. Objective: This research aims to provide a systematic approach to better select and integrate QATs into tailored software process models for projects that develop products with specific product quality requirements. Method: A selection method is developed to support the choice of appropriate techniques for any quality attribute, across the lifecycle. The selection method is based on three perspectives: (I) risk management; (2) process integration; and (3) cost/benefit using Analytic Hierarchy Process (AHP). An industry case study is used to validate the feasibility and effectiveness of applying the selection method. Results: The case study demonstrates that the selection method provides a more methodological and effective approach to choose QATs for projects that target a specific quality attribute, compared to the ad hoc selection performed by development teams. Conclusion: The proposed selection method can be used to systematically choose QATs for projects to target specific product qualities throughout the software development lifecycle. (C) 2013 Elsevier B.V. All rights reserved.
Keyword:
Quality Attribute Techniques
Technique selection
Risk management
AHP

期刊

Information and Software Technology 封面图
Information and Software Technology
IF:
4.3
论文数:
3.8K
被引数:
7.7K

机构

A
Australian National University
学者数:
2.1W
论文数: 2.3W
被引数: 3.9W
D
Dalian University of Technology
学者数:
6.0W
论文数: 4.4W
被引数: 5.5W
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