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Improving and analyzing the quality of system model lexicons using semantic based information mining

机译:使用基于语义的信息挖掘来提高和分析系统模型词典的质量

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In order to develop quality software, it must be designed according to the requirements. Software developers who need to demonstrate and deduce relationships, actions, and connections of the system modules using Unified Modeling Language (UML) notations. The software designer must go through the software requirements specifications (SRS) and has to select the identifiers manually for the UML Models. The appropriate choice of model terms persuades software comprehensibility and maintainability. In this paper we have proposed and analyzed a novel method to maintain system model terms consistent with high-level artifacts using semantic based information mining. The system has been implemented as an Eclipse plug-in. The research also reports on two controlled experiments performed with master's and bachelor's students. The goal of the experiments is to evaluate the quality of identifiers (in terms of their consistency with high-level artifacts) in the model produced when using or not using the developed plug-in. The achieved results confirm our conjecture that providing the analyzers/designers with similarity between system model terms and high-level artifacts helps to improve the quality of system model lexicon. This indicates the potential usefulness of developed plug-in as a feature for software development environments.
机译:为了开发高质量的软件,必须根据要求进行设计。需要使用统一建模语言(UML)表示法来演示和推断系统模块的关系,操作和连接的软件开发人员。软件设计人员必须通过软件需求规范(SRS),并且必须手动为UML模型选择标识符。对模型术语的适当选择可以说服软件的可理解性和可维护性。在本文中,我们提出并分析了一种新方法,该方法使用基于语义的信息挖掘来维护与高级工件一致的系统模型术语。该系统已实现为Eclipse插件。该研究还报告了对硕士生和学士生进行的两个受控实验。实验的目的是评估使用或不使用开发的插件时生成的模型中标识符的质量(根据它们与高级工件的一致性)。所获得的结果证实了我们的猜测,即为分析器/设计人员提供系统模型术语与高级工件之间的相似之处有助于提高系统模型词典的质量。这表明开发的插件作为软件开发环境的功能的潜在用途。

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