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Furia, Carlo A., Richard Torkar and Robert Feldt. 2021. Applying Bayesian Analysis Guidelines to Empirical Sooware Engineering Data The Case of Programming Languages and Code eality. https://www.hillelwayne.com/post/this-is-how-science-happens/.
Torkar, Richard, Carlo Alberto Furia, Robert Feldt, Francisco Gomes de Oliveira Neto, Lucas Gren, Per Lenberg and Neil A. Ernst. 2021. A Method to Assess and Argue for Practical Significance in Software Engineering. IEEE Transactions on Software Engineering, 1–1. https://doi.org/10.1109/TSE.2020.3048991
Ralph, Paul, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard and Rana Alkadhi. 2020. Pandemic programming. Empirical Software Engineering. https://doi.org/10.1007/s10664-020-09875-yb
Ali, Nauman bin, Henry Edison and Richard Torkar. 2020. The Impact of a Proposal for Innovation Measurement in the Software Industry. Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 1–6. https://doi.org/10.1145/3382494.3422163