Richard Torkar is part of the 2020 1st Semester cohort at STIAS.
Related to Richard Torkar
Publication
The Impact of a Proposal for Innovation Measurement in the Software Industry
Ali, Nauman bin, Henry Edison and Richard Torkar. 2020. The Impact of a Proposal for Innovation Measurement in the Software Industry. Proceedings of the 14...
Publication
Pandemic programming: How COVID-19 affects software developers and how their organizations can help
Ralph, Paul, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin T...
Publication
Not All Requirements Prioritization Criteria Are Equal at All Times: A Quantitative Analysis
Svensson, Richard Berntsson and Richard Torkar. 2021. Not All Requirements Prioritization Criteria Are Equal at All Times: A Quantitative Analysis. http://...
Publication
Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality
Furia, Carlo A., Richard Torkar and Robert Feldt. 2022. Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programmi...
Publication
Take a deep breath: Benefits of neuroplasticity practices for software developers and computer workers in a family of experiments
Penzenstadler, Birgit, Richard Torkar and Cristina Martinez Montes. 2022. Take a deep breath: Benefits of neuroplasticity practices for software developers...
Publication
A Method to Assess and Argue for Practical Significance in Software Engineering
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 a...
Publication
An empirical study of Linespots: A novel past‐fault algorithm
Scholz, Maximilian and Richard Torkar. 2021. An empirical study of Linespots: A novel past‐fault algorithm. Software Testing, Verification and Reliability,...
Publication
Measuring affective states from technical debt
Olsson, Jesper, Erik Risfelt, Terese Besker, Antonio Martini and Richard Torkar. 2021. Measuring affective states from technical debt. Empirical Software E...