A survey of the use of crowdsourcing in software engineering

By Ke Mao, Licia Capra, Mark Harman, Yue Jia. Journal of Systems and Software, 2017

393 citations recorded by the source corpus.

Subfields: Computer Science Applications, Information Systems

View Paper: https://www.semanticscholar.org/paper/2b19768afa6fbf5abb19790cd1ee991574129933

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Yuanyuan Zhang
2. Yue Jia
3. Mark Harman
4. Walid Maalej
5. Emitzá Guzmán
6. Hadeer Nabil

In Information Systems

1. Yue Jia
2. Mark Harman
3. Yuanyuan Zhang
4. Federica Sarro
5. William J. Martin
6. Sebastian G. Elbaum
7. Robert Huijie Deng
8. Ming Li

Citations in the corpus

• CrowdBC: A Blockchain-Based Decentralized Framework for Crowdsourcing (2019, background): “We refer readers to a comprehensive survey on crowdsourcing for more information [16], [17], [18], [19], [20].”
• Assessing the Type Annotation Burden (2018, background): “MTurk is an online marketplace for labor that is increasingly popular for behavior research [25] and has an extensive usage in software engineering [10, 24, 44].”
• A Survey of App Store Analysis for Software Engineering (2017, background): “[119] argued that app store reviews can be used for “crowdsourcing” [150].”