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Reading material

Here are open-access paper that we cite in this course.

  • [Chacon & Straub, 2014] Chacon, Scott, and Ben Straub. Pro git. Springer Nature, 2014. chacon_and_straub_2014.pdf
  • [Bertram, 2009] Bertram, Dane. "The social nature of issue tracking in software engineering." University of Calgary (2009).
  • [Gunderloy, 2007] Gunderloy, Mike, ed. Painless project management with FogBugz. Berkeley, CA: Apress, 2007.
  • [Perez-Riverol et al., 2016] Perez-Riverol, Yasset, et al. "Ten simple rules for taking advantage of Git and GitHub." PLoS computational biology 12.7 (2016): e1004947. perez_riverol_et_al_2016.pdf
  • [Ram, 2013] Ram, Karthik. "Git can facilitate greater reproducibility and increased transparency in science." Source code for biology and medicine 8 (2013): 1-8. ram_2013.pdf
  • [Stieler & Bauer, 2023] Stieler, Fabian, and Bernhard Bauer. "Git workflow for active learning-a development methodology proposal for data-centric AI projects." (2023). stieler_and_bauer_2023.pdf
  • [Wilson et al., 2017] Wilson, Greg, et al. "Good enough practices in scientific computing." PLoS computational biology 13.6 (2017): e1005510. here