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Richard Torkar

Sweden
Computer Science and Engineering
University of Gothenburg
Fellow:
  • 2020 First Semester

Involved in these STIAS projects

The focus of this research is combining Bayesian statistics, in particular Bayesian data analysis, with utility theory. From utility theory we select the work from Kahneman and Tversky, i.e., Cumulative...
 

Related publications

Journal Article

Svensson, Richard Berntsson and Richard Torkar. 2021. Not All Requirements Prioritization Criteria Are Equal at All Times: A Quantitative Analysis. http://arxiv.org/abs/2104.06033

Report

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/.

Journal Article

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

Journal Article

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

Journal Article

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

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