@inproceedings{93ff6bf9652745028a31c7dead085a97,
title = "Trustworthiness in enterprise crowdsourcing: A taxonomy \& evidence from data",
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.",
keywords = "Crowdsourcing, TopCoder, Trustworthiness, Upwork",
author = "Anurag Dwarakanath and Shrikanth, \{N. C.\} and Kumar Abhinav and Alex Kass",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 2016 IEEE/ACM 38th IEEE International Conference on Software Engineering, ICSE 2016 ; Conference date: 14-05-2016 Through 22-05-2016",
year = "2016",
month = may,
day = "14",
doi = "10.1145/2889160.2889225",
language = "English",
series = "Proceedings - International Conference on Software Engineering",
publisher = "IEEE Computer Society",
pages = "41--50",
booktitle = "Proceedings - 5th International Workshop on Green and Sustainable Software, GREENS 2016",
}