IR-QUMA (Telegram) Machine Learning Data Experiments
Published: 14 February 2022| Version 1 | DOI: 10.17632/2rv6j6cwgw.1
Contributors:
Mohammad Reza Besharati, , Description
The IR-QUMA study (Iranian Survey on Quality in Messenger Apps) was conducted to evaluate the quality of some messenger applications. According to the evaluation results, the hybrid DD-KARB method (with a combination of semantics-awareness and data-drivenness) is more effective than famous machine learning methods (Deep Learning and SVM classification) and can compute a somehow good estimation for the messenger application user quality scores. Therefore, DD-KARB can be considered a method for quality benchmarking in this technical context. Details about DD-KARB method is available from https://arxiv.org/abs/2007.05874
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Institutions
Sharif University of Technology
Categories
Machine Learning, Software Quality Assessment, User Experience