Abstract
Data analytics application development introduces manychallenges including: new roles not in traditional softwareengineering practices e.g. data scientists and data engineers; useof sophisticated machine learning (ML) model-based approaches;uncertainty inherent in the models; interfacing with models tofulfill software functionalities; deploying models at scale andrapid evolution of business goals and data sources. We describeour Big Data Analytics Modeling Languages (BiDaML) toolset tobring all stakeholders around one tool to specify, model anddocument big data applications. We report on our experienceapplying BiDaML to three real-world large-scale applications.Our approach successfully supports complex data analyticsapplication development in industrial settings.
Original language | English |
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Title of host publication | Proceedings - 2020 ACM/IEEE 42nd International Conference on Software Engineering |
Subtitle of host publication | Companion Proceedings, ICSE-Companion 2020 |
Editors | Gregg Rothermel, Doo-Hwan Bae |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 256-257 |
Number of pages | 2 |
ISBN (Electronic) | 9781450371223 |
DOIs | |
Publication status | Published - Jun 2020 |
Event | International Conference on Software Engineering 2020 - Virtual, Online, Korea, Republic of (South) Duration: 27 Jun 2020 → 19 Jul 2020 Conference number: 42nd https://dl.acm.org/doi/proceedings/10.1145/3377811 (Proceedings) https://conf.researchr.org/home/icse-2020 (Website) |
Conference
Conference | International Conference on Software Engineering 2020 |
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Abbreviated title | ICSE 2020 |
Country | Korea, Republic of (South) |
City | Virtual, Online |
Period | 27/06/20 → 19/07/20 |
Internet address |
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