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An end-to-end model-based approach to support big data analytics development
Journal of Computer Languages ( IF 1.7 ) Pub Date : 2020-04-07 , DOI: 10.1016/j.cola.2020.100964
Hourieh Khalajzadeh , Andrew J. Simmons , Mohamed Abdelrazek , John Grundy , John Hosking , Qiang He

We present BiDaML 2.0, an integrated suite of visual languages and supporting tool to help multidisciplinary teams with the design of big data analytics solutions. BiDaML tool support provides a platform for efficiently producing BiDaML diagrams and facilitating their design, creation, report and code generation. We evaluated BiDaML using two types of evaluations, a theoretical analysis using the “physics of notations”, and an empirical study with 1) a group of 12 target end-users and 2) five individual end-users. Participants mostly agreed that BiDaML was straightforward to understand/learn, and prefer BiDaML for supporting complex data analytics solution modeling than other modeling languages.



中文翻译:

一种基于端到端模型的方法来支持大数据分析开发

我们介绍BiDaML 2.0,这是一套集成的可视语言和支持工具套件,可帮助多学科团队设计大数据分析解决方案。BiDaML工具支持提供了一个平台,可以有效地生成BiDaML图并促进其设计,创建,报告和代码生成。我们使用两种类型的评估对BiDaML进行了评估,一种是使用“符号物理”进行的理论分析,另一项是通过1个12个目标最终用户和2个5个个人最终用户进行的实证研究。参与者大多同意BiDaML易于理解/学习,并且比其他建模语言更喜欢BiDaML支持复杂的数据分析解决方案建模。

更新日期:2020-04-07
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