Enhancing reliability of feature modeling with transforming representation into abstract behavioral specification (ABS)

Muhammad Irfan Fadhillah
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引用次数: 1

Abstract

Feature modeling on ABS was a modeling process which were performed using a text-based language known as μTVL (Micro Textual Variability Language). This approach was relatively difficult when developing a large-scale system. Therefore, systematic mechanism would be needed to make the common modeling process in feature modeling can be recognized and used by ABS. One approach that could be used was to make a code generator that transforms a feature diagram to ABS code. This research was focused on creating a code generator that can be used to transform feature diagrams into code ABS in μTVL representation. This research had succeeded in making the code generator by first preparing rule-making for feature diagram so the transformation result is suitable with the rules that are owned by ABS. Current code generator is still needed to be refined with the metamodel according to the specifications of ABS so all excess that ABS has can be put to good use.
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将表征转化为抽象行为规范(ABS)提高特征建模的可靠性
ABS上的特征建模是一种基于文本的语言μTVL (Micro Textual Variability language,微文本变异语言)。在开发大型系统时,这种方法相对困难。因此,需要有系统的机制使特征建模中常见的建模过程能够被ABS识别和使用,可以采用的一种方法是制作一个代码生成器,将特征图转换为ABS代码。本研究的重点是创建一个代码生成器,用于将特征图转换为μTVL表示的代码ABS。本研究首先准备了特征图的规则制定,成功地制作了代码生成器,使转换结果与ABS拥有的规则相适应。目前的代码生成器还需要根据ABS的规范用元模型进行细化,使ABS的多余部分得到充分利用。
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