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首页> 外文期刊>International Journal of Software Engineering & Applications (IJSEA) >Structural Complexity Attribute Classification Framework (SCACF) for Sassy Cascading Style Sheets
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Structural Complexity Attribute Classification Framework (SCACF) for Sassy Cascading Style Sheets

机译:Sassy级联样式表的结构复杂性属性分类框架(SCACF)

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Several researchers have proposed the various classes of software attributes to guide in the derivation of metrics for software products. These existing classifications have targeted traditional software paradigms such as procedural and object-oriented software. Sassy cascading style sheets (SCSS) has unique features since it combines Cascading style sheets (CSS) features with traditional software features such as variables, functions and control flows. Due to this uniqueness, there arises a need to develop a new classification scheme that can be effectively used to classify all the possible structural attributes for Sassy cascading style sheets. The aim of this paper, therefore, is to develop and validate a comprehensive software complexity attributes classification framework for SCSS. The new framework was validated through an online expert opinion survey, where thirteen SCSS experts were involved. Results show that the proposed framework is complete and effective to guide metrics researchers in defining new metrics for SCSS.
机译:几位研究人员提出了各类软件属性来指导软件产品的指导。这些现有分类有针对传统的软件范例,如程序和面向对象的软件。 Sassy级联样式表(SCSS)具有独特的功能,因为它将级联样式表(CSS)功能与传统的软件功能相结合,例如变量,功能和控制流程。由于这种唯一性,出现了需要开发一种新的分类方案,可以有效地用于对Sassy级联样式表的所有可能的结构属性进行分类。因此,本文的目的是为SCSS开发和验证全面的软件复杂性属性分类框架。新框架通过在线专家舆论调查进行了验证,其中涉及十三世纪队员专家。结果表明,拟议的框架是完整有效的,可以指导指导媒体研究人员定义SCSS的新度量。

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