Literature Related to Research Software Engineering in DH

Bhandari Neupane, J. et al. (2019). Characterization of Leptazolines A–D, Polar Oxazolines from the Cyanobacterium Leptolyngbya sp., Reveals a Glitch with the “Willoughby–Hoye” Scripts for Calculating NMR Chemical Shifts. Organic Letters, 21 (20), 8449-8453. https://doi.org/10.1021/acs.orglett.9b03216
Cleary, B. et al. (11/2012). Contemporary Peer Review in Action: Lessons from Open Source Development. IEEE Software, 29 (6), 56-61. https://doi.org/10.1109/MS.2012.24
Damerow, J. et al. (2024). Code review in digital humanities. Digital Scholarship in the Humanities, 40 (Supplement_1), i18-i26. https://doi.org/10.1093/llc/fqae052
Eisty, N., Carver, J. (01/2022). Developers perception of peer code review in research software development. Empirical Software Engineering, 27 (1), 13. https://doi.org/10.1007/s10664-021-10053-x
Fagan, M. (1976). Design and code inspections to reduce errors in program development. IBM Systems Journal, 15 (3), 182-211.
Koeser, R. (2015). Trusting Others to ‘Do the Math’. Interdisciplinary Science Reviews, 40 (4), 376-392. https://doi.org/10.1080/03080188.2016.1165454
Nangia, U., Katz, D. (2017). Track 1 Paper: Surveying the U.S. National Postdoctoral Association Regarding Software Use and Training in Research. https://doi.org/10.5281/zenodo.814220
Petre, M., Wilson, G. (2014). Code Review For and By Scientists. https://doi.org/10.48550/arXiv.1407.5648
Rigby, P., Bird, C. (2013). Convergent contemporary software peer review practices. 202-212. https://doi.org/10.1145/2491411.2491444
Thongtanunam, P. et al. (4/2017). Review participation in modern code review: An empirical study of the android, Qt, and OpenStack projects. Empirical Software Engineering, 22 (2), 768-817. https://doi.org/10.1007/s10664-016-9452-6