Research Article
Research Progress in the Processing of Crowdsourced Test Reports
@INPROCEEDINGS{10.1007/978-3-030-43215-7_11, author={Naiqi Wang and Lizhi Cai and Mingang Chen and Chuwei Zhang}, title={Research Progress in the Processing of Crowdsourced Test Reports}, proceedings={Testbeds and Research Infrastructures for the Development of Networks and Communications. 14th EAI International Conference, TridentCom 2019, Changsha, China, December 7-8, 2019, Proceedings}, proceedings_a={TRIDENTCOM}, year={2020}, month={3}, keywords={Software testing Crowdsourced testing Reports processing}, doi={10.1007/978-3-030-43215-7_11} }- Naiqi Wang
Lizhi Cai
Mingang Chen
Chuwei Zhang
Year: 2020
Research Progress in the Processing of Crowdsourced Test Reports
TRIDENTCOM
Springer
DOI: 10.1007/978-3-030-43215-7_11
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.
