Software development with real-time collaborative editing

By Max Goldman. 2012

18 citations recorded by the source corpus.

How researchers see this paper

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

1. Yue Jia
2. Ke Mao
3. Steven Euijong Whang
4. Yuji Roh
5. Mark Harman
6. Geon Heo
7. Licia Capra
8. Andrea Arcuri

Citations in the corpus

• A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2018, methodology): “While an assumption is that a few domain experts can come up with enough labeling functions, an interesting direction is to use standard crowdsourcing platforms like Amazon Mechanical Turk to help many non-experts collaborate on implementing the labeling functions [32], [118].”
• A survey of the use of crowdsourcing in software engineering (2017, background): “Many studies focused on providing systems to support crowd-based coding tasks (Goldman et al., 2011; Goldman, 2011; Minder and 890 Bernstein, 2011, 2012; Goldman, 2012; Ball et al., 2014; LaToza et al., 2014a; Xie et al., 2015).”