Richard Torkar

Olsson, Jesper, Erik Risfelt, Terese Besker, Antonio Martini and Richard Torkar. 2021. Measuring affective states from technical debt. Empirical Software Engineering, 26(5), 105. https://doi.org/10.1007/s10664-021-09998-w

Scholz, Maximilian and Richard Torkar. 2021. An empirical study of Linespots: A novel past‐fault algorithm. Software Testing, Verification and Reliability, 31(8). https://doi.org/10.1002/stvr.1787

Torkar, Richard, Carlo Alberto Furia, Robert Feldt, Francisco Gomes de Oliveira Neto, Lucas Gren, Per Lenberg and Neil A. Ernst. 2022. A Method to Assess and Argue for Practical Significance in Software Engineering. IEEE Transactions on Software Engineering, 48(6), 2053–2065. https://doi.org/10.1109/TSE.2020.3048991

Penzenstadler, Birgit, Richard Torkar and Cristina Martinez Montes. 2022. Take a deep breath: Benefits of neuroplasticity practices for software developers and computer workers in a family of experiments. Empirical Software Engineering, 27(4), 98. https://doi.org/10.1007/s10664-022-10148-z

Furia, Carlo A., Richard Torkar and Robert Feldt. 2022. Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality. ACM Transactions on Software Engineering and Methodology, 31(3), 1–38. https://doi.org/10.1145/3490953

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

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