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End-User-Oriented Tool Support for Modeling Data Analytics Requirements
conference contribution
posted on 2020-01-01, 00:00 authored by Hourieh Khalajzadeh, Anj Simmons, Mohamed AbdelrazekMohamed Abdelrazek, John Grundy, John Hosking, Qiang HeBig data and analytics are increasingly used in different domains to gain insights and to improve decision-making. Developing big data analytics solutions is a complex task involving multidisciplinary teams and users - with no data science and programming background - to professional data scientists and software engineers. Different stakeholders work with a variety of data types, tasks and concepts in different languages from high- level domain concepts to low level programming languages and technical concepts. In order to advance the level of abstraction beyond low-level data analysis technical details, we demonstrate our BiDaML tool. BiDaML brings all stakeholders around one tool to specify, model and document their big data applications using a novel set of domain-specific visual languages (DSVLs).
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Event
2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)Pagination
1 - 4Publisher
IEEELocation
OnlinePlace of publication
Piscataway, N.J.Publisher DOI
Start date
2020-08-10End date
2020-08-14ISBN-13
978-1-7281-6901-9Language
engPublication classification
E1 Full written paper - refereedTitle of proceedings
VL/HCC 2020 : Proceedings of the IEEE Symposium on Visual Languages and Human-Centric ComputingUsage metrics
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