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Addressing Non-Functional Properties in Feature Models: A Goal-Oriented Approach

机译:解决特征模型中的非功能属性:一种面向目标的方法

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摘要

Software Product Line (SPL) engineering is a systematic reuse-based software development approach which is founded on the idea of building software products using a set of core assets rather than developing individual software systems from scratch. Feature models are among the widely used artefacts for SPL development that mostly capture functional and operational variability of a system. Researchers have argued that connecting intentional variability models such as goal models with feature variability models in a target domain can enrich feature models with valuable quality and non-functional information. Interrelating goal models and feature models has already been proposed in the literature for capturing nonfunctional properties in software product lines; however, this manual integration process is cumbersome and tedious. In this paper, we propose a (semi) automated approach that systematically integrates feature models and goal models through standard ontologies. Our proposed approach connects feature model and goal model elements through measuring the semantic similarity of their annotated ontological concepts. Our work not only provides the means to systematically interrelate feature models and goal models but also allows domain engineers to identify and model the role and significance of non-functional properties in the domain represented by the feature model.
机译:软件产品线(SPL)工程是一种基于系统重用的系统软件开发方法,该方法基于使用一组核心资产构建软件产品而不是从头开始开发单个软件系统的思想。特征模型是SPL开发中广泛使用的伪像之一,这些伪像主要捕获系统的功能和操作可变性。研究人员认为,在目标域中将目标模型等目标模型与特征变异模型联系起来可以使有价值的质量和非功能性信息丰富特征模型。在文献中已经提出了相互关联的目标模型和特征模型,以捕获软件产品线中的非功能特性。但是,这种手动集成过程既繁琐又乏味。在本文中,我们提出了一种(半)自动化方法,该方法通过标准本体系统地集成了特征模型和目标模型。我们提出的方法通过测量带注释的本体概念的语义相似性来将特征模型和目标模型元素联系起来。我们的工作不仅提供了系统地将要素模型和目标模型相互关联的方法,而且使领域工程师能够识别和建模要素模型所代表的领域中非功能性属性的作用和重要性。

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