학술논문

An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications
Document Type
Conference
Source
2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) SITIS Signal-Image Technology & Internet-Based Systems (SITIS), 2023 17th International Conference on. :30-37 Nov, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Quality assurance
Production
Organizations
Big Data applications
Optimization
Testing
big data
testing
quality assurance
test data
overview paper
Language
Abstract
With society’s increasing data production and the corresponding demand for systems that are capable of utilizing them, the big data domain has gained significant importance. However, besides the systems’ actual implementation, their testing also needs to be considered. For this, oftentimes, proper test data sets are necessary. This publication discusses several different approaches how these can be provisioned and, further, highlights the respective advantages, disadvantages, and suitable application scenarios. In doing so, researchers and practitioners that are implementing big data applications and need to test them, or who are generally interested in the domain, are supported in their own considerations on how to obtain test data.