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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

Research Progress in the Processing of Crowdsourced Test Reports

verfasst von : Naiqi Wang, Lizhi Cai, Mingang Chen, Chuwei Zhang

Erschienen in: Testbeds and Research Infrastructures for the Development of Networks and Communications

Verlag: Springer International Publishing

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Abstract

In recent years, crowdsourced testing, which uses collective intelligence to solve complex software testing tasks has gained widespread attention in academia and industry. However, due to a large number of workers participating in crowdsourced testing tasks, the submitted test reports set is too large, making it difficult for developers to review test reports. Therefore, how to effectively process and integrate crowdsourced test reports is always a significant challenge in the crowdsourced testing process. This paper deals with the crowdsourced test reports processing, sorts out some achievements in this field in recent years, and classifies, summarizes, and compares existing research results from four directions: duplicated reports detection, test reports aggregation and classification, priority ranking, and reports summarization. Finally explored the possible research directions, opportunities and challenges of the crowdsourced test reports.

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Vorheriges Kapitel EuWireless RAN Architecture and Slicing Framework for Virtual Testbeds
Nächstes Kapitel Enabling Heterogeneous 5G Simulations with SDN Adapters
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Metadaten
Titel
Research Progress in the Processing of Crowdsourced Test Reports
verfasst von
Naiqi Wang
Lizhi Cai
Mingang Chen
Chuwei Zhang
Copyright-Jahr
2020
Buch
Testbeds and Research Infrastructures for the Development of Networks and Communications

Print ISBN: 978-3-030-43214-0

Electronic ISBN: 978-3-030-43215-7

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-43215-7_11

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