Trustworthiness in Enterprise Crowdsourcing: a Taxonomy & evidence from data

September 25, 2018 ยท Declared Dead ยท ๐Ÿ› 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C)

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Authors Anurag Dwarakanath, Shrikanth N. C., Kumar Abhinav, Alex Kass arXiv ID 1809.09477 Category cs.SE: Software Engineering Citations 25 Venue 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C) Last Checked 3 months ago
Abstract
In this paper we study the trustworthiness of the crowd for crowdsourced software development. Through the study of literature from various domains, we present the risks that impact the trustworthiness in an enterprise context. We survey known techniques to mitigate these risks. We also analyze key metrics from multiple years of empirical data of actual crowdsourced software development tasks from two leading vendors. We present the metrics around untrustworthy behavior and the performance of certain mitigation techniques. Our study and results can serve as guidelines for crowdsourced enterprise software development.
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