Bibliography

18. Bibliography#

Wilson G, Aruliah DA, Brown CT, Chue Hong NP, Davis M, et al. (2014)
Best Practices for Scientific Computing”.
PLoS Biol 12(1): e1001745. doi:10.1371/journal.pbio.1001745

Goble, C. (2016). “What is reproducibility? The \({\rm {\bf R}}^{∗}\) brouhaha”,
In First International Workshop on Reproducible Open Science (Hannover).
http://repscience2016.r esearch-infrastructures.eu/img/CaroleGoble- ReproScience2016v2.pdf

Benureau, F. C. Y. and Rougier, N. P. (2018).
Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions”.
Frontiers in Neuroinformatics. 11. https://doi.org/10.3389/fninf.2017.00069

Cormen, T. H., Leiserson, C. E., Rivest, R. L. and Clifford, S. (2009).
Introduction to Algorithms (2nd Edition)”. MIT Press.

Roy, P. V. and Haridi, S. (2004).
Concepts, Techniques and Models of Computer Programming.MIT Press.

Gamma, E., Helm, R., Johnson, R. and Vlissides, J. M. (1994).
Design Patterns: Elements of Reusable Object-Oriented Software.
Addison-Wesley Professional.

Trisovic, A., Lau, M.K., Pasquier, T. et al. (2002)
A large-scale study on research code quality and execution”.
Sci Data 9, 60. https://doi.org/10.1038/s41597-022-01143-6